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ORCIDTao Tan 0002
Person information
- affiliation: Macao Polytechnic University, Faculty of Applied Sciences, China
- affiliation: Netherlands Cancer Institute (NKI), Department of Radiology, Amsterdam, Netherlands
- affiliation: Eindhoven University of Technology, Department of Biomedical Engineering, Eindhoven, The Netherlands
Other persons with the same name
- Tao Tan — disambiguation page
- Tao Tan 0001
![[0009-0003-3973-9929]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0009-0003-3973-9929")
— Lanzhou Jiaotong University, Faculty of Geomatics, China (and 1 more) - Tao Tan 0003 — Chinese Academy of Sciences (CAS), Chongqing Institute of Green Intelligent Technology, China (and 1 more)
- Tao Tan 0004 — Beijing University of Posts and Telecommunications (BUPT), School of Electronic Engineering, Beijing Key Laboratory of Work Safety Intelligent Monitoring, China
- Tao Tan 0005
- Tao Tan 0006
- Tao Tan 0007
- Tao Tan 0008 — University of Science and Technology of China, Hefei, China
- Tao Tan 0009
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2020 – today
- 2026
[j79]Jiaju Huang, Xin Wang, Xiangyu Xiong, Shaobin Chen, Yue Sun, Ka-Hou Chan, Tong Tong, Qinquan Gao, Yi Xu, Shuo Li, Tao Tan:
Synergistic perception: Fusing expert knowledge and foundation models for semi-supervised mammogram segmentation. Biomed. Signal Process. Control. 112: 108633 (2026)- [j78]Chenxi Hong, Qiang Zhao, Min He, Tao Tan, Chenggang Yan:
Feature distribution learning based on variance transfer and center shift for long-tailed classification. Neurocomputing 659: 131805 (2026) - [e2]Tianyu Zhang, Oliver Lester Saldanha, Luyi Han, Nika Rasoolzadeh, Lidia Garrucho Moras, Jarek van Dijk, Tao Tan, Jakob Nikolas Kather, Ritse Mann:
Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care - Second Deep Breast Workshop, Deep-Breath 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings. Lecture Notes in Computer Science 16142, Springer 2026, ISBN 978-3-032-05558-3 [contents] - 2025
- [j77]Zelu Wang, Ming Luo, Xinghe Xie, Yue Sun, Xinyu Tian, Zhengxuan Chen, Junwei Xie, Qinquan Gao, Tong Tong, Yue Liu, Tao Tan:
MSAN-Net: An End-to-End Multi-Scale Attention Network for Universal Industrial Defect Detection. IEEE Access 13: 122603-122612 (2025) - [j76]Chaoyu Chen, Yuhao Huang, Xin Yang, Xindi Hu, Yuanji Zhang, Tao Tan, Wufeng Xue, Dong Ni:
Enhancing fetal ultrasound image quality assessment with multi-scale fusion and clustering-based optimization. Biomed. Signal Process. Control. 102: 107249 (2025) - [j75]Longxuan Zhao, Tao Wang, Yuanbin Chen, Xinlin Zhang, Hui Tang, Ruige Zong, Tao Tan, Shun Chen, Tong Tong:
MSAByNet: A multiscale subtraction attention network framework based on Bayesian loss for medical image segmentation. Biomed. Signal Process. Control. 103: 107393 (2025) - [j74]Simin Lin, Longxin Deng, Ziwei Hu, Chengda Lin, Yongxin Mao, Yuntao Liu, Wei Li, Yue Yang, Rui Zhou, Yancheng Lai, Huang He, Tao Tan, Xinlin Zhang, Tong Tong, Na Ta, Rui Chen:
Predicting FOXA1 gene mutation status in prostate cancer through multi-modal deep learning. Biomed. Signal Process. Control. 106: 107739 (2025) - [j73]Da Huang, Tao Tan, Yue Sun:
Advancing early detection of sepsis with physiological variable interactions and temporal contrastive learning in critical care. Biomed. Signal Process. Control. 107: 107827 (2025) - [j72]Tao Wang, Xinlin Zhang, Yuanbin Chen, Yuanbo Zhou, Longxuan Zhao, Bizhe Bai, Tao Tan, Tong Tong:
Pseudo Label-Guided Data Fusion and output consistency for semi-supervised medical image segmentation. Biomed. Signal Process. Control. 108: 107956 (2025) - [j71]Mingfu Jiang, Shuai Wang, Ka-Hou Chan, Yue Sun, Yi Xu, Zhuoneng Zhang, Qinquan Gao, Zhifan Gao, Tong Tong, Hing-Chiu Chang, Tao Tan:
Multimodal Cross Global Learnable Attention Network for MR images denoising with arbitrary modal missing. Comput. Medical Imaging Graph. 121: 102497 (2025) - [j70]Qiuhui Yang, Shu Su, Tianyu Zhang, Meng Wang, Weiqiang Dou, Kefeng Li, Ya Ren, Yijia Zheng, Mingwei Wang, Yi Xu, Yue Sun, Zhou Liu, Tao Tan:
A deep learning framework for reconstructing Breast Amide Proton Transfer weighted imaging sequences from sparse frequency offsets to dense frequency offsets. Comput. Medical Imaging Graph. 123: 102563 (2025) - [j69]Xiangyu Xiong, Yue Sun, Xiaohong Liu, Wei Ke, Chan-Tong Lam, Qinquan Gao, Tong Tong, Shuo Li, Tao Tan:
VariMix: A variety-guided data mixing framework for explainable medical image classifications. Comput. Methods Programs Biomed. 271: 109016 (2025) - [j68]Yuanbo Zhou, Yuyang Xue, Xinlin Zhang, Wei Deng, Tao Wang, Tao Tan, Qinquan Gao, Tong Tong:
A universal parameter-efficient fine-tuning approach for stereo image super-resolution. Eng. Appl. Artif. Intell. 151: 110703 (2025) - [j67]Yiwen Wang, Wanli Ding, Weiyuan Lin, Tao Tan, Zhifan Gao:
FedHNR: Federated hierarchical resilient learning for echocardiogram segmentation with annotation noise. Expert Syst. Appl. 273: 126841 (2025) - [j66]Jiahui Wang, Dongsheng Ruan, Yang Li, Tao Tan, Lianming Wu, Guang Yang, Mingfeng Jiang:
Dynamic mask stitching-guided region consistency for semi-supervised 3D medical image segmentation. Expert Syst. Appl. 292: 128547 (2025) - [j65]Yuanbo Zhou, Xinlin Zhang, Wei Deng, Tao Wang, Tao Tan, Qinquan Gao, Tong Tong:
DiffSteISR: Harnessing diffusion prior for superior real-world stereo image super-resolution. Neurocomputing 623: 129437 (2025) - [j64]Mingfeng Jiang, Q. Huang, Xin Huang, Jucheng Zhang, Chunshuang Wu, T. Huang, Ling Xia, Tao Tan, Z. Wang, Y. Chu:
An Optic Nerve Segmentation Model Based on Fully-Convolutional-Based Masked Autoencoders and Direction Field. Int. J. Pattern Recognit. Artif. Intell. 39(5): 2554005:1-2554005:20 (2025) - [j63]Siyi Xun, Qiaoyu Li, Xiaohong Liu, Pu Huang, Guangtao Zhai, Yue Sun, Peter H. N. de With, Mingxiang Wu, Tao Tan:
Charting the path forward: CT image quality assessment - an in-depth review. J. King Saud Univ. Comput. Inf. Sci. 37(5) (2025) - [j62]Shaobin Chen, Tao Tan, Xinyu Zhao, Wei Ke, Xiayu Xu, Yanwu Xu, Guoming Zhang, Chan-Tong Lam, Yue Sun:
Bi-branch bidirectional coupled interaction fusion network for multi-retinal diseases diagnosis. Knowl. Based Syst. 326: 114069 (2025) - [j61]Weijin Xu, Tao Tan, Huihua Yang, Wentao Liu, Yifu Chen, Ling Zhang, Xipeng Pan, Feng Gao, Yiming Deng, Theo van Walsum, Matthijs van der Sluijs, Ruisheng Su:
CVFSNet: A Cross View Fusion Scoring Network for end-to-end mTICI scoring. Medical Image Anal. 102: 103508 (2025) - [j60]Zehui Lin, Shuo Li, Shanshan Wang, Zhifan Gao, Yue Sun, Chan-Tong Lam, Xindi Hu, Xin Yang, Dong Ni, Tao Tan:
An orchestration learning framework for ultrasound imaging: Prompt-Guided Hyper-Perception and Attention-Matching Downstream Synchronization. Medical Image Anal. 104: 103639 (2025) - [j59]Yaofei Duan, Tao Tan, Zhiyuan Zhu, Yuhao Huang, Yuanji Zhang, Rui Gao, Patrick Cheong-Iao Pang, Xinru Gao, Guowei Tao, Xiang Cong, Zhou Li, Lianying Liang, Guangzhi He, Linliang Yin, Xuedong Deng, Xin Yang, Dong Ni:
FetalFlex: Anatomy-guided diffusion model for flexible control on fetal ultrasound image synthesis. Medical Image Anal. 105: 103725 (2025) - [j58]Sui Li, Xingguang Deng, Qiwei Li, Zhiming Zhen, Luyi Han, Kang Chen, Chaoyang Zhou, Fengxi Chen, Peiyu Huang, Ruiting Zhang, Hao Chen, Tianyu Zhang, Wei Chen, Tao Tan, Chen Liu:
Synthetizing SWI from 3T to 7T by generative diffusion network for deep medullary veins visualization. NeuroImage 320: 121475 (2025) - [j57]Jiahui Wang, Dongsheng Ruan, Yang Li, Zefeng Wang, Yongquan Wu, Tao Tan, Guang Yang, Mingfeng Jiang:
Data augmentation strategies for semi-supervised medical image segmentation. Pattern Recognit. 159: 111116 (2025) - [j56]Tianyu Xie, Yue Sun, Hongxu Yang, Shuo Li, Jinhong Song, Qimin Yang, Hao Chen, Mingxiang Wu, Tao Tan:
Semisupervised Breast MRI Density Segmentation Integrating Fine and Rough Annotations. IEEE Trans. Artif. Intell. 6(3): 690-699 (2025) - [j55]Alou Diakite, Cheng Li, Yousuf Babiker M. Osman, Zan Chen, Yiang Pan, Jiawei Zhang, Tao Tan, Hairong Zheng, Shanshan Wang:
Dual-Uncertainty Guided Multimodal MRI-Based Visual Pathway Extraction. IEEE Trans. Biomed. Eng. 72(6): 1993-2000 (2025) - [j54]Xintao Pang, Fengjuan Yao, Yanming Zhang, Yue Sun, Edmundo Patricio Lopes Lao, Chuan Lin, Patrick Cheong-Iao Pang, Wei Wang, Wei Li, Zhifan Gao, Tao Tan:
BLENet: A Bio-Inspired Lightweight and Efficient Network for Left Ventricle Segmentation in Echocardiography. IEEE Trans. Circuits Syst. Video Technol. 35(9): 9218-9233 (2025) - [j53]Tao Wang, Xinlin Zhang, Yuanbo Zhou, Yuanbin Chen, Longxuan Zhao, Tao Tan, Tong Tong:
PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and Classification. IEEE Trans. Emerg. Top. Comput. Intell. 9(4): 3162-3177 (2025) - [j52]Tao Tan, Zhang Li, Yue Sun, Shandong Wu:
Guest Editorial: Multi-Modal Joint Learning in Healthcare Imaging. IEEE J. Biomed. Health Informatics 29(5): 3083-3085 (2025) - [j51]Yaofei Duan, Patrick Cheong-Iao Pang, Ping He, Rongsheng Wang, Yue Sun, Chuntao Liu, Xiaorong Zhang, Xirong Yuan, Pengjie Song, Chan-Tong Lam, Ligang Cui, Tao Tan:
3MT-Net: A Multi-Modal Multi-Task Model for Breast Cancer and Pathological Subtype Classification Based on a Multicenter Study. IEEE J. Biomed. Health Informatics 29(7): 4680-4691 (2025) - [j50]Yuxin Liu, Xiang Zhang, Weiwei Cao, Wenju Cui, Tao Tan, Yuqin Peng, Jiayi Huang, Zhen Lei, Jun Shen, Jian Zheng:
Bootstrapping BI-RADS classification using large language models and transformers in breast magnetic resonance imaging reports. Vis. Comput. Ind. Biomed. Art 8(1): 8 (2025) - [c67]Yanfeng Li, Ka-Hou Chan, Yue Sun, Chan-Tong Lam, Tong Tong, Zitong Yu, Keren Fu, Xiaohong Liu, Tao Tan:
MoEdit: On Learning Quantity Perception for Multi-object Image Editing. CVPR 2025: 2683-2693 - [c66]Shibo Wang, Zili Ma, Ka-Hou Chan, Yue Liu, Tong Tong, Qinquan Gao, Guangtao Zhai, Xiaohong Liu, Tao Tan:
Contrastive Learning via Randomly Generated Deep Supervision. ICASSP 2025: 1-5 - [c65]Jiaju Huang, Shaobin Chen, Xinglong Liang, Yue Sun, Menghan Hu, Tao Tan:
All-in-One Multi-Organ Segmentation in 3D CT Images via Self-Supervised and Cross-Dataset Learning. ISBI 2025: 1-5 - [c64]Xuanru Zhou, Jiarun Liu, Shoujun Yu, Hao Yang, Cheng Li, Tao Tan, Shanshan Wang:
A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging. MICCAI (10) 2025: 3-12 - [c63]Rebecca Mes, Mark Wijkhuizen, Lennard M. van Karnenbeek, Tao Tan, Ritse Mann, Theo Ruers, Freija Geldof, Behdad Dashtbozorg:
Training Set Diversity: A Key Factor in AI-Driven Breast Ultrasound Classification. Deep-Breath@MICCAI 2025: 21-30 - [c62]Jiarun Liu, Hong-Yu Zhou, Weijian Huang, Hao Yang, Dongning Song, Tao Tan, Yong Liang, Shanshan Wang:
BioVFM-21M: Benchmarking and Scaling Self-supervised Vision Foundation Models for Biomedical Image Analysis. MedAGI 2025: 23-33 - [c61]Yaofei Duan, Yuhao Huang, Xin Yang, Luyi Han, Xinyu Xie, Zhiyuan Zhu, Ping He, Ka-Hou Chan, Ligang Cui, Sio Kei Im, Dong Ni, Tao Tan:
ADAptation: Reconstruction-Based Unsupervised Active Learning for Breast Ultrasound Diagnosis. MICCAI (16) 2025: 35-45 - [c60]Nuoer Long, Kaiwen Yang, Xinyu Xie, Zitong Yu, Tao Tan, Yue Sun:
BiMSRec: A Progressive Image Reconstruction Framework for Medical Image Fusion Guided by Multi-scale Deformation Fields. MICCAI (2) 2025: 46-55 - [c59]Jiaju Huang, Shaobin Chen, Xinglong Liang, Xiao Yang, Zhuoneng Zhang, Yue Sun, Ying Wang, Tao Tan:
C2MAOT: Cross-modal Complementary Masked Autoencoder with Optimal Transport for Cancer Segmentation in PET-CT Images. MICCAI (1) 2025: 87-97 - [c58]Xinglong Liang, Jiaju Huang, Luyi Han, Tianyu Zhang, Xin Wang, Yuan Gao, Chunyao Lu, Lishan Cai, Tao Tan, Ritse Mann:
DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation. MICCAI (6) 2025: 163-172 - [c57]Xinghe Xie, Luyi Han, Yue Sun, Chi Kin Lam, Jian Zheng, Tong Tong, Wei Ke, Chan-Tong Lam, Tao Tan:
FDF-VQVAE: A Frequency Disentanglement and Fusion Learning Framework for Multi-sequence MRI Enhancement. MICCAI (3) 2025: 183-193 - [c56]Siyi Xun, Yue Sun, Jingkun Chen, Zitong Yu, Tong Tong, Xiaohong Liu, Mingxiang Wu, Tao Tan:
MedIQA: A Scalable Foundation Model for Prompt-Driven Medical Image Quality Assessment. MICCAI (13) 2025: 339-349 - [c55]Haoxuan Zhang, Wenju Cui, Yuzhu Cao, Tao Tan, Jie Liu, Yunsong Peng, Jian Zheng:
Paired Image Generation with Diffusion-Guided Diffusion Models. MICCAI (4) 2025: 371-381 - [c54]Shaobin Chen, Xinyu Zhao, Huazhu Fu, Tao Tan, Jiaju Huang, Xiangyu Xiong, Zhenquan Wu, Behdad Dashtbozorg, Baiying Lei, Guoming Zhang, Yue Sun:
SABPI-Net: A Novel Structure-Aware Network for Accurate and Domain-Invariant Retinopathy of Prematurity Diagnosis. MICCAI (10) 2025: 456-466 - [c53]Ningyi Zhang, Yuan Gao, Xin Wang, Ka-Hou Chan, Jian Wu, Chan-Tong Lam, Shanshan Wang, Yue Sun, Sio Kei Im, Tao Tan:
RefineNet: Elevating Medical Foundation Models Through Quality-Centric Data Curation by MLLM-Annotated Proxy Distillation. MICCAI (11) 2025: 498-508 - [c52]Tao Wang, Xinlin Zhang, Yuanbin Chen, Yuanbo Zhou, Longxuan Zhao, Tao Tan, Tong Tong:
Synergy-Guided Regional Supervision of Pseudo Labels for Semi-supervised Medical Image Segmentation. MICCAI (8) 2025: 530-540 - [c51]Kunyan Cai, Chenggang Yan, Min He, Liangqiong Qu, Shuai Wang, Tao Tan:
Region-Based Text-Consistent Augmentation for Multimodal Medical Segmentation. MICCAI (3) 2025: 533-543 - [c50]Peirong Xu, Luoqian Zhu, Jingkun Chen, Xin Qian, Yue Sun, Lingyun Bao, Tao Tan:
SAMASK-CLTR: A Spatial-Aware Mask Guided Learning Model for Benign and Malignant Tumor Classification in ABUS. MICCAI (1) 2025: 567-577 - [c49]Junxuan Yu, Yaofei Duan, Yuhao Huang, Yu Wang, Rongbo Ling, Weihao Luo, Ang Zhang, Jingxian Xu, Qiongying Ni, Yongsong Zhou, Binghan Li, Haoran Dou, Liping Liu, Yanfen Chu, Feng Geng, Zhe Sheng, Zhifeng Ding, Dingxin Zhang, Rui Huang, Yuhang Zhang, Xiaowei Xu, Tao Tan, Dong Ni, Zhongshan Gou, Xin Yang:
UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound. MICCAI (16) 2025: 608-617 - [c48]Xinyu Xie, Luyi Han, Yonghao Li, Yaofei Duan, Yue Sun, Muzhen He, Tao Tan, Dinggang Shen:
Tumor Segmentation with Heterogeneity Clustering in Non-Contrast Breast MRI. MICCAI (2) 2025: 642-652 - [c47]Yuhao Wang, Yue Sun, Tao Tan, Chao Hao, Yawen Cui, Xinqi Su, Weicheng Xie, Linlin Shen, Zitong Yu:
TRRG: Towards Truthful Radiology Report Generation With Cross-Modal Disease Clue Enhanced Large Language Models. MICCAI (7) 2025: 647-657 - [e1]Ritse M. Mann, Tianyu Zhang, Tao Tan, Luyi Han, Daniel Truhn, Shuo Li, Yuan Gao, Shannon Doyle, Robert Martí Marly, Jakob Nikolas Kather, Katja Pinker-Domenig, Shandong Wu, Geert Litjens:
Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care - First Deep Breast Workshop, Deep-Breath 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. Lecture Notes in Computer Science 15451, Springer 2025, ISBN 978-3-031-77788-2 [contents] - [i55]Yanfeng Li, Ka-Hou Chan, Yue Sun, Chan-Tong Lam, Tong Tong, Zitong Yu, Keren Fu, Xiaohong Liu, Tao Tan:
MoEdit: On Learning Quantity Perception for Multi-object Image Editing. CoRR abs/2503.10112 (2025) - [i54]Yaofei Duan, Tao Tan, Zhiyuan Zhu, Yuhao Huang, Yuanji Zhang, Rui Gao, Patrick Cheong-Iao Pang, Xinru Gao, Guowei Tao, Xiang Cong, Zhou Li, Lianying Liang, Guangzhi He, Linliang Yin, Xuedong Deng, Xin Yang, Dong Ni:
FetalFlex: Anatomy-Guided Diffusion Model for Flexible Control on Fetal Ultrasound Image Synthesis. CoRR abs/2503.14906 (2025) - [i53]Jingkun Chen, Haoran Duan, Xiao Zhang, Boyan Gao, Tao Tan, Vicente Grau, Jungong Han:
From Gaze to Insight: Bridging Human Visual Attention and Vision Language Model Explanation for Weakly-Supervised Medical Image Segmentation. CoRR abs/2504.11368 (2025) - [i52]Yiping Xie, Bo Zhao, Mingtong Dai, Jian-Ping Zhou, Yue Sun, Tao Tan, Weicheng Xie, Linlin Shen, Zitong Yu:
PhysLLM: Harnessing Large Language Models for Cross-Modal Remote Physiological Sensing. CoRR abs/2505.03621 (2025) - [i51]Jiarun Liu, Hong-Yu Zhou, Weijian Huang, Hao Yang, Dongning Song, Tao Tan, Yong Liang, Shanshan Wang:
BioVFM-21M: Benchmarking and Scaling Self-Supervised Vision Foundation Models for Biomedical Image Analysis. CoRR abs/2505.09329 (2025) - [i50]Hao Yang, Tao Tan, Shuai Tan, Weiqin Yang, Kunyan Cai, Calvin Chen, Yue Sun:
MambaControl: Anatomy Graph-Enhanced Mamba ControlNet with Fourier Refinement for Diffusion-Based Disease Trajectory Prediction. CoRR abs/2505.09965 (2025) - [i49]Xuanru Zhou, Jiarun Liu, Shoujun Yu, Hao Yang, Cheng Li, Tao Tan, Shanshan Wang:
A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging. CoRR abs/2506.04116 (2025) - [i48]Junxuan Yu, Yaofei Duan, Yuhao Huang, Yuchen Wang, Rongbo Ling, Weihao Luo, Ang Zhang, Jingxian Xu, Qiongying Ni, Yongsong Zhou, Binghan Li, Haoran Dou, Liping Liu, Yanfen Chu, Feng Geng, Zhe Sheng, Zhifeng Ding, Dingxin Zhang, Rui Huang, Yuhang Zhang, Xiaowei Xu, Tao Tan, Dong Ni, Zhongshan Gou, Xin Yang:
UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound. CoRR abs/2506.23490 (2025) - [i47]Yaofei Duan, Yuhao Huang, Xin Yang, Luyi Han, Xinyu Xie, Zhiyuan Zhu, Ping He, Ka-Hou Chan, Ligang Cui, Sio Kei Im, Dong Ni, Tao Tan:
ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis. CoRR abs/2507.00474 (2025) - [i46]Hao Yang, Xinlong Liang, Zhang Li, Yue Sun, Zheyu Hu, Xinghe Xie, Behdad Dashtbozorg, Jincheng Huang, Shiwei Zhu, Luyi Han, Jiong Zhang, Shanshan Wang, Ritse Mann, Qifeng Yu, Tao Tan:
Prompt Mechanisms in Medical Imaging: A Comprehensive Survey. CoRR abs/2507.01055 (2025) - [i45]Xinglong Liang, Jiaju Huang, Luyi Han, Tianyu Zhang, Xin Wang, Yuan Gao, Chunyao Lu, Lishan Cai, Tao Tan, Ritse Mann:
DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation. CoRR abs/2507.07126 (2025) - [i44]Haoxuan Zhang, Wenju Cui, Yuzhu Cao, Tao Tan, Jie Liu, Yunsong Peng, Jian Zheng:
Paired Image Generation with Diffusion-Guided Diffusion Models. CoRR abs/2507.14833 (2025) - [i43]Siyi Xun, Yue Sun, Jingkun Chen, Zitong Yu, Tong Tong, Xiaohong Liu, Mingxiang Wu, Tao Tan:
MedIQA: A Scalable Foundation Model for Prompt-Driven Medical Image Quality Assessment. CoRR abs/2507.19004 (2025) - [i42]Hui Xie, Haiqin Hu, Lijuan Ding, Qing Li, Yue Sun, Tao Tan:
Conditional Diffusion Model with Anatomical-Dose Dual Constraints for End-to-End Multi-Tumor Dose Prediction. CoRR abs/2508.02043 (2025) - [i41]Xuanru Zhou, Cheng Li, Shuqiang Wang, Ye Li, Tao Tan, Hairong Zheng, Shanshan Wang:
Generative Artificial Intelligence in Medical Imaging: Foundations, Progress, and Clinical Translation. CoRR abs/2508.09177 (2025) - [i40]Tao Wang, Zhenxuan Zhang, Yuanbo Zhou, Xinlin Zhang, Yuanbin Chen, Tao Tan, Guang Yang, Tong Tong:
From Noisy Labels to Intrinsic Structure: A Geometric-Structural Dual-Guided Framework for Noise-Robust Medical Image Segmentation. CoRR abs/2509.02419 (2025) - [i39]Bo Zhao, Dan Guo, Junzhe Cao, Yong Xu, Tao Tan, Yue Sun, Bochao Zou, Jie Zhang, Zitong Yu:
PHASE-Net: Physics-Grounded Harmonic Attention System for Efficient Remote Photoplethysmography Measurement. CoRR abs/2509.24850 (2025) - 2024
- [j49]Xiaomeng Dong, Tao Tan, Michael Potter, Yun-Chan Tsai, Gaurav Kumar, V. Ratna Saripalli, Theodore B. Trafalis:
To raise or not to raise: the autonomous learning rate question. Ann. Math. Artif. Intell. 92(6): 1679-1698 (2024) - [j48]Hui Xie, Chaoling Song, Lei Jian, Yeang Guo, Mei Li, Jiang Luo, Qing Li, Tao Tan:
A deep learning-based radiomics model for predicting lymph node status from lung adenocarcinoma. BMC Medical Imaging 24(1): 121 (2024) - [j47]Hui Tang, Yuanbin Chen, Tao Wang, Yuanbo Zhou, Longxuan Zhao, Qinquan Gao, Min Du, Tao Tan, Xinlin Zhang, Tong Tong:
HTC-Net: A hybrid CNN-transformer framework for medical image segmentation. Biomed. Signal Process. Control. 88(Part A): 105605 (2024) - [j46]Jiawei Quan, Jingxuan Ye, Junlin Lan, Jianchao Wang, Ziwei Hu, Zhechen Guo, Tao Wang, Zixin Han, Zhida Wu, Tao Tan, Min Du, Tong Tong, Gang Chen:
A deep learning model fusion algorithm for the diagnosis of gastric Mucosa-associated lymphoid tissue lymphoma. Biomed. Signal Process. Control. 92: 106064 (2024) - [j45]Xiaojuan Xue, Deshiwei Zhang, Chengyang Sun, Yiqiao Shi, Rongsheng Wang, Tao Tan, Peng Gao, Sujie Fan, Guangtao Zhai, Menghan Hu, Yue Wu:
Xiaoqing: A Q&A model for glaucoma based on LLMs. Comput. Biol. Medicine 174: 108399 (2024) - [j44]Hui Xie, Hua Zhang, Zijie Chen, Tao Tan:
Precision dose prediction for breast cancer patients undergoing IMRT: The Swin-UMamba-Channel Model. Comput. Medical Imaging Graph. 116: 102409 (2024) - [j43]Xiangyu Xiong, Yue Sun, Xiaohong Liu, Wei Ke, Chan-Tong Lam, Jiangang Chen, Mingfeng Jiang, Mingwei Wang, Hui Xie, Tong Tong, Qinquan Gao, Hao Chen, Tao Tan:
Distance guided generative adversarial network for explainable medical image classifications. Comput. Medical Imaging Graph. 118: 102444 (2024) - [j42]Ziqi Yang, Mingfeng Jiang, Dongshen Ruan, Yang Li, Tao Tan, Sumei Huang, Feng Liu:
LUCMT: Learnable under-sampling and reconstructed network with cross multi-head attention transformer for accelerating MR image reconstruction. Comput. Methods Programs Biomed. 255: 108359 (2024) - [j41]Siyi Xun, Mingfeng Jiang, Pu Huang, Yue Sun, Dengwang Li, Yan Luo, Huifen Zhang, Zhicheng Zhang, Xiaohong Liu, Mingxiang Wu, Tao Tan:
Chest CT-IQA: A multi-task model for chest CT image quality assessment and classification. Displays 84: 102785 (2024) - [j40]Kangyang Cao, Tao Tan, Zhengxuan Chen, Kaiwen Yang, Yue Sun:
A novel heart rate estimation framework with self-correcting face detection for Neonatal Intensive Care Unit. Displays 85: 102852 (2024) - [j39]Xinwei Dai, Yuanbo Zhou, Xintao Qiu, Hui Tang, Tao Tan, Qing Zhang, Tong Tong:
WaveFrSnow: Comprehensive perception wavelet transform frequency separation transformer for image snow removal. Digit. Signal Process. 155: 104715 (2024) - [j38]Zhebin Shi, Mingfeng Jiang, Yang Li, Bo Wei, Zefeng Wang, Yongquan Wu, Tao Tan, Guang Yang:
MLC: Multi-level consistency learning for semi-supervised left atrium segmentation. Expert Syst. Appl. 244: 122903 (2024) - [j37]Dan Zhang, Chenggang Lu, Tao Tan, Behdad Dashtbozorg, Xi Long, Xiayu Xu, Jiong Zhang, Caifeng Shan:
BSANet: Boundary-aware and scale-aggregation networks for CMR image segmentation. Neurocomputing 599: 128125 (2024) - [j36]Tianyu Zhang, Tao Tan, Luyi Han, Xin Wang, Yuan Gao, Jarek van Dijk, Antonio Portaluri, Abel Gonzalez-Huete, Anna D'Angelo, Chunyao Lu, Jonas Teuwen, Regina Beets-Tan, Yue Sun, Ritse Mann:
IMPORTANT-Net: Integrated MRI multi-parametric increment fusion generator with attention network for synthesizing absent data. Inf. Fusion 108: 102381 (2024) - [j35]Luyi Han, Tao Tan, Tianyu Zhang, Yunzhi Huang, Xin Wang, Yuan Gao, Jonas Teuwen, Ritse Mann:
Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI. Medical Image Anal. 92: 103044 (2024) - [j34]Rojin Setayeshi, Javad Vahidi, Ehsan Kozegar, Tao Tan:
An end-to-end multi-task deep learning framework for bronchoscopy image classification. Multim. Syst. 30(6): 361 (2024) - [j33]Yiping Jiao, Jeroen van der Laak, Shadi Albarqouni, Zhang Li, Tao Tan, Abhir Bhalerao, Shenghua Cheng, Jiabo Ma, John Pocock, Josien P. W. Pluim, Navid Alemi Koohbanani, Raja Muhammad Saad Bashir, Shan-E-Ahmed Raza, Sibo Liu, Simon Graham, Suzanne C. Wetstein, Syed Ali Khurram, Xiuli Liu, Nasir M. Rajpoot, Mitko Veta, Francesco Ciompi:
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. IEEE J. Biomed. Health Informatics 28(3): 1161-1172 (2024) - [j32]Weijin Xu, Huihua Yang, Yinghuan Shi, Tao Tan, Wentao Liu, Xipeng Pan, Yiming Deng, Feng Gao, Ruisheng Su:
ERNet: Edge Regularization Network for Cerebral Vessel Segmentation in Digital Subtraction Angiography Images. IEEE J. Biomed. Health Informatics 28(3): 1472-1483 (2024) - [j31]Xinyu Xie, Yawen Cui, Tao Tan, Xubin Zheng, Zitong Yu:
FusionMamba: dynamic feature enhancement for multimodal image fusion with Mamba. Vis. Intell. 2(1): 37 (2024) - [j30]Siyi Xun, Yan Zhang, Sixu Duan, Mingwei Wang, Jiangang Chen, Tong Tong, Qinquan Gao, Chan-Tong Lam, Menghan Hu, Tao Tan:
ARGA-Unet: Advanced U-net segmentation model using residual grouped convolution and attention mechanism for brain tumor MRI image segmentation. Virtual Real. Intell. Hardw. 6(3): 203-216 (2024) - [j29]Hui Xie, Jianfang Zhang, Lijuan Ding, Tao Tan, Qing Li:
Combining machine and deep transfer learning for mediastinal lymph node evaluation in patients with lung cancer. Virtual Real. Intell. Hardw. 6(3): 226-238 (2024) - [j28]B. A. O. Lingyun, Zhengrui Huang, Zehui Lin, Yue Sun, Hui Chen, You Li, Zhang Li, Xiaochen Yuan, Lin Xu, Tao Tan:
Automatic detection of breast lesions in automated 3D breast ultrasound with cross-organ transfer learning. Virtual Real. Intell. Hardw. 6(3): 239-251 (2024) - [c46]Zehui Lin, Zhuoneng Zhang, Xindi Hu, Zhifan Gao, Xin Yang, Yue Sun, Dong Ni, Tao Tan:
UniUSNet: A Promptable Framework for Universal Ultrasound Disease Prediction and Tissue Segmentation. BIBM 2024: 3501-3504 - [c45]Jiaoyan Li, Kaihong Xie, Tao Tan, Hui Xie:
Machine Learning Model for Predicting Risk of Primary Sj?gren's syndrome using N7-methylguanosine-related Genes. CVDL 2024: 30:1-30:12 - [c44]Xiangyu Xiong, Yue Sun, Xiaohong Liu, Chan-Tong Lam, Tong Tong, Hao Chen, Qinquan Gao, Wei Ke, Tao Tan:
A Parameterized Generative Adversarial Network Using Cyclic Projection for Explainable Medical Image Classifications. ICASSP 2024: 7310-7314 - [c43]Nuoer Long, Kin-Seong Un, Chengpeng Xiong, Zhuolin Li, Shaobin Chen, Tao Tan, Chan-Tong Lam, Yue Sun:
A Multimodal Behavior Recognition Network with Interconnected Architectures. ICME Workshops 2024: 1-6 - [c42]Chengpeng Xiong, Zhengxuan Chen, Nuoer Long, Kin-Seong Un, Zhuolin Li, Shaobin Chen, Tao Tan, Chan-Tong Lam, Yue Sun:
Enhancing Video Grounding with Dual-Path Modality Fusion on Animal Kingdom Datasets. ICME Workshops 2024: 1-6 - [c41]Haoming Chen, Yuqi Guo, Yue Sun, Xiang Li, Hongping Song, Tao Tan:
Controllable Quality Improvement of Mobile Ultrasound. MeMeA 2024: 1-6 - [c40]Mengzhu Liu, Xinghe Xie, Kangyang Cao, Xiexin Wang, Tao Tan, Chan-Tong Lam, Yue Sun:
Benchmarking Machine Learning Algorithms for Epilepsy Detection on Multi-Age Datasets. MeMeA 2024: 1-6 - [c39]Jinhong Song, Xiao Yang, Xinglong Liang, Jiaju Huang, Junqiang Ma, Yue Sun, Wuman Luo, SengPeng Mok, Ying Wang, Tao Tan:
DuEU-Net: Dual Encoder UNet with Modality-Agnostic Training for PET-CT Multi-modal Organ and Lesion Segmentation. Deep-Breath@MICCAI 2024: 23-31 - [c38]Nika Rasoolzadeh, Tianyu Zhang, Yuan Gao, Jarek van Dijk, Qiuhui Yang, Tao Tan, Ritse M. Mann:
Multimodal Breast MRI Language-Image Pretraining (MLIP): An Exploration of a Breast MRI Foundation Model. Deep-Breath@MICCAI 2024: 42-53 - [c37]Yuan Gao, Hong-Yu Zhou, Xin Wang, Tianyu Zhang, Luyi Han, Chunyao Lu, Xinglong Liang, Jonas Teuwen, Regina Beets-Tan, Tao Tan, Ritse Mann:
Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-Guided Model. MICCAI (1) 2024: 133-143 - [c36]Xin Wang, Tao Tan, Yuan Gao, Eric Marcus, Luyi Han, Antonio Portaluri, Tianyu Zhang, Chunyao Lu, Xinglong Liang, Regina Beets-Tan, Jonas Teuwen, Ritse Mann:
Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms. MICCAI (1) 2024: 155-165 - [c35]Luyi Han, Tao Tan, Tianyu Zhang, Xin Wang, Yuan Gao, Chunyao Lu, Xinglong Liang, Haoran Dou, Yunzhi Huang, Ritse Mann:
Non-adversarial Learning: Vector-Quantized Common Latent Space for Multi-sequence MRI. MICCAI (11) 2024: 481-491 - [c34]Qi Zhang, Xiujian Liu, Heye Zhang, Chenchu Xu, Guang Yang, Yixuan Yuan, Tao Tan, Zhifan Gao:
Variational Field Constraint Learning for Degree of Coronary Artery Ischemia Assessment. MICCAI (3) 2024: 768-778 - [i38]Luyi Han, Tao Tan, Tianyu Zhang, Yuan Gao, Xin Wang, Valentina Longo, Sofía Ventura-Díaz, Anna D'Angelo, Jonas Teuwen, Ritse Mann:
To deform or not: treatment-aware longitudinal registration for breast DCE-MRI during neoadjuvant chemotherapy via unsupervised keypoints detection. CoRR abs/2401.09336 (2024) - [i37]Rongsheng Wang, Haoming Chen, Ruizhe Zhou, Han Ma, Yaofei Duan, Yanlan Kang, Songhua Yang, Baoyu Fan, Tao Tan:
LLM-Detector: Improving AI-Generated Chinese Text Detection with Open-Source LLM Instruction Tuning. CoRR abs/2402.01158 (2024) - [i36]Xinyu Xie, Yawen Cui, Chio-In Ieong, Tao Tan, Xiaozhi Zhang, Xubin Zheng, Zitong Yu:
FusionMamba: Dynamic Feature Enhancement for Multimodal Image Fusion with Mamba. CoRR abs/2404.09498 (2024) - [i35]Zehui Lin, Zhuoneng Zhang, Xindi Hu, Zhifan Gao, Xin Yang, Yue Sun, Dong Ni, Tao Tan:
UniUSNet: A Promptable Framework for Universal Ultrasound Disease Prediction and Tissue Segmentation. CoRR abs/2406.01154 (2024) - [i34]Luyi Han, Tao Tan, Tianyu Zhang, Xin Wang, Yuan Gao, Chunyao Lu, Xinglong Liang, Haoran Dou, Yunzhi Huang, Ritse Mann:
Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI. CoRR abs/2407.02911 (2024) - [i33]Qimin Yang, Rongsheng Wang, Jiexin Chen, Runqi Su, Tao Tan:
Fine-Tuning Medical Language Models for Enhanced Long-Contextual Understanding and Domain Expertise. CoRR abs/2407.11536 (2024) - [i32]Yuanbo Zhou, Xinlin Zhang, Wei Deng, Tao Wang, Tao Tan, Qinquan Gao, Tong Tong:
DIffSteISR: Harnessing Diffusion Prior for Superior Real-world Stereo Image Super-Resolution. CoRR abs/2408.07516 (2024) - [i31]Yuhao Wang, Chao Hao, Yawen Cui, Xinqi Su, Weicheng Xie, Tao Tan, Zitong Yu:
TRRG: Towards Truthful Radiology Report Generation With Cross-modal Disease Clue Enhanced Large Language Model. CoRR abs/2408.12141 (2024) - [i30]Siqi Luo, Yi Xin, Yuntao Du, Zhongwei Wan, Tao Tan, Guangtao Zhai, Xiaohong Liu:
Enhancing Test Time Adaptation with Few-shot Guidance. CoRR abs/2409.01341 (2024) - [i29]Xin Wang, Tao Tan, Yuan Gao, Eric Marcus, Luyi Han, Antonio Portaluri, Tianyu Zhang, Chunyao Lu, Xinglong Liang, Regina Beets-Tan, Jonas Teuwen, Ritse Mann:
Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms. CoRR abs/2409.06887 (2024) - [i28]Tao Wang, Xinlin Zhang, Yuanbin Chen, Yuanbo Zhou, Longxuan Zhao, Tao Tan, Tong Tong:
Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation. CoRR abs/2411.04493 (2024) - [i27]Tao Wang, Xinlin Zhang, Yuanbin Chen, Yuanbo Zhou, Longxuan Zhao, Tao Tan, Tong Tong:
ScribbleVS: Scribble-Supervised Medical Image Segmentation via Dynamic Competitive Pseudo Label Selection. CoRR abs/2411.10237 (2024) - 2023
- [j27]Tianyu Zhang, Tao Tan, Riccardo Samperna, Zhang Li, Yuan Gao, Xin Wang, Luyi Han, Qifeng Yu, Regina G. H. Beets-Tan, Ritse M. Mann:
Radiomics and artificial intelligence in breast imaging: a survey. Artif. Intell. Rev. 56(S1): 857-892 (2023) - [j26]Ji-Feng Luo, Yun-Zhu Pu, Jie-Yang Yin, Xiaohong Liu, Tao Tan, Yudong Zhang, Menghan Hu:
Is There a Difference between Paper and Electronic Chinese Signatures? Adv. Intell. Syst. 5(12) (2023) - [j25]Zean Liu, Yuanzhi Cheng, Tao Tan, Shinichi Tamura:
MimicNet: Mimicking manual delineation of human expert for brain tumor segmentation from multimodal MRIs. Appl. Soft Comput. 143: 110394 (2023) - [j24]Xin Wang, Ruisheng Su, Weiyi Xie, Wenjin Wang, Yi Xu, Ritse Mann, Jungong Han, Tao Tan:
2.75D: Boosting learning by representing 3D Medical imaging to 2D features for small data. Biomed. Signal Process. Control. 84: 104858 (2023) - [j23]Rongsheng Wang, Yaofei Duan, Menghan Hu, Xiaohong Liu, Yukun Li, Qinquan Gao, Tong Tong, Tao Tan:
LightR-YOLOv5: A compact rotating detector for SARS-CoV-2 antigen-detection rapid diagnostic test results. Displays 78: 102403 (2023) - [j22]Jiangang Chen, Size Hou, Liang Feng, Bing Lu, Minglei Yang, Feiyang Sun, Qingli Li, Tao Tan, Xuedong Deng, Gaofeng Wei:
Ultrasonic evaluation of fetal lung development using deep learning with graph. Displays 78: 102451 (2023) - [j21]Shan Huang, Xiaohong Liu, Tao Tan, Menghan Hu, Xiaoer Wei, Tingli Chen, Bin Sheng:
TransMRSR: transformer-based self-distilled generative prior for brain MRI super-resolution. Vis. Comput. 39(8): 3647-3659 (2023) - [j20]Rongsheng Wang, Yaofei Duan, Yukun Li, Dashun Zheng, Xiaohong Liu, Chan-Tong Lam, Tao Tan:
PCTMF-Net: heart sound classification with parallel CNNs-transformer and second-order spectral analysis. Vis. Comput. 39(8): 3811-3822 (2023) - [j19]Dashun Zheng, Rongsheng Wang, Yaofei Duan, Patrick Cheong-Iao Pang, Tao Tan:
Focus-RCNet: a lightweight recyclable waste classification algorithm based on focus and knowledge distillation. Vis. Comput. Ind. Biomed. Art 6(1): 19 (2023) - [c33]Weijin Xu, Huihua Yang, Tao Tan, Wentao Liu, Feng Gao, Yiming Deng, Xipeng Pan, Ruisheng Su:
Improved YOLOX Framework for Automatic Large Intracranial Artery Stenosis Detection in Digital Subtraction Angiography Images. BIBM 2023: 2326-2331 - [c32]Qiuhui Yang, Hao Chen, Mingfeng Jiang, Mingwei Wang, Jiong Zhang, Yue Sun, Tao Tan:
A Hybrid Supervised Fusion Deep Learning Framework for Microscope Multi-Focus Images. CGI (4) 2023: 210-221 - [c31]Mingfu Jiang, Chenzhi You, Mingwei Wang, Heye Zhang, Zhifan Gao, Dawei Wu, Tao Tan:
Controllable Deep Learning Denoising Model for Ultrasound Images Using Synthetic Noisy Image. CGI (1) 2023: 297-308 - [c30]Rongsheng Wang, Yaofei Duan, Chan-Tong Lam, Jiexi Chen, Jiangsheng Xu, Haoming Chen, Xiaohong Liu, Patrick Cheong-Iao Pang, Tao Tan:
IvyGPT: InteractiVe Chinese Pathway Language Model in Medical Domain. CICAI (2) 2023: 378-382 - [c29]Yeang Guo, Tao Tan, Ronglin Zhang, Liangfen Xiao, Lijuan Ding, Qing Li, Hui Xie:
SVM in Classification of stage 0~II and III~IV with Breast Cancer : A Retrospective Cohort Study on a bicentric cohort. ICCVIT 2023: 51:1-51:10 - [c28]Luyi Han, Tianyu Zhang, Yunzhi Huang, Haoran Dou, Xin Wang, Yuan Gao, Chunyao Lu, Tao Tan, Ritse Mann:
An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis. MICCAI (10) 2023: 45-55 - [c27]Xin Wang, Tao Tan, Yuan Gao, Luyi Han, Tianyu Zhang, Chunyao Lu, Regina Beets-Tan, Ruisheng Su, Ritse Mann:
DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms Using Self-adversarial Learning. MICCAI (7) 2023: 57-67 - [c26]Tianyu Zhang, Luyi Han, Anna D'Angelo, Xin Wang, Yuan Gao, Chunyao Lu, Jonas Teuwen, Regina Beets-Tan, Tao Tan, Ritse Mann:
Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-Based Hierarchical Fusion Network with Attention Mechanism. MICCAI (7) 2023: 79-88 - [c25]Luyi Han, Tao Tan, Ritse Mann:
Fine-Grained Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation. BraTS/CrossMoDA@MICCAI 2023: 364-371 - [c24]Yunlong Dong, Xiaohong Liu, Yixuan Gao, Xunchu Zhou, Tao Tan, Guangtao Zhai:
Light-VQA: A Multi-Dimensional Quality Assessment Model for Low-Light Video Enhancement. ACM Multimedia 2023: 1088-1097 - [i26]Yiping Jiao, Jeroen van der Laak, Shadi Albarqouni, Zhang Li, Tao Tan, Abhir Bhalerao, Jiabo Ma, Jiamei Sun, Johnathon Pocock, Josien P. W. Pluim, Navid Alemi Koohbanani, Raja Muhammad Saad Bashir, Shan E Ahmed Raza, Sibo Liu, Simon Graham, Suzanne C. Wetstein, Syed Ali Khurram, Thomas Watson, Nasir M. Rajpoot, Mitko Veta, Francesco Ciompi:
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. CoRR abs/2301.06304 (2023) - [i25]Luyi Han, Tao Tan, Tianyu Zhang, Yunzhi Huang, Xin Wang, Yuan Gao, Jonas Teuwen, Ritse Mann:
Synthesis-based Imaging-Differentiation Representation Learning for Multi-Sequence 3D/4D MRI. CoRR abs/2302.00517 (2023) - [i24]Tianyu Zhang, Tao Tan, Luyi Han, Xin Wang, Yuan Gao, Jonas Teuwen, Regina Beets-Tan, Ritse Mann:
IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion Generator with Attention Network for Synthesizing Absent Data. CoRR abs/2302.01788 (2023) - [i23]Yunlong Dong, Xiaohong Liu, Yixuan Gao, Xunchu Zhou, Tao Tan, Guangtao Zhai:
Light-VQA: A Multi-Dimensional Quality Assessment Model for Low-Light Video Enhancement. CoRR abs/2305.09512 (2023) - [i22]Shan Huang, Xiaohong Liu, Tao Tan, Menghan Hu, Xiaoer Wei, Tingli Chen, Bin Sheng:
TransMRSR: Transformer-based Self-Distilled Generative Prior for Brain MRI Super-Resolution. CoRR abs/2306.06669 (2023) - [i21]Tao Wang, Xinlin Zhang, Yuanbo Zhou, Junlin Lan, Tao Tan, Min Du, Qinquan Gao, Tong Tong:
PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and Classification. CoRR abs/2306.16918 (2023) - [i20]Luyi Han, Tianyu Zhang, Yunzhi Huang, Haoran Dou, Xin Wang, Yuan Gao, Chunyao Lu, Tao Tan, Ritse Mann:
An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis. CoRR abs/2307.00885 (2023) - [i19]Tianyu Zhang, Luyi Han, Anna D'Angelo, Xin Wang, Yuan Gao, Chunyao Lu, Jonas Teuwen, Regina Beets-Tan, Tao Tan, Ritse Mann:
Synthesis of Contrast-Enhanced Breast MRI Using Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism. CoRR abs/2307.00895 (2023) - [i18]Xin Wang, Tao Tan, Yuan Gao, Luyi Han, Tianyu Zhang, Chunyao Lu, Regina Beets-Tan, Ruisheng Su, Ritse Mann:
DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms using Self-adversarial Learning. CoRR abs/2307.02935 (2023) - [i17]Rongsheng Wang, Yaofei Duan, Chan-Tong Lam, Jiexi Chen, Jiangsheng Xu, Haoming Chen, Xiaohong Liu, Patrick Cheong-Iao Pang, Tao Tan:
IvyGPT: InteractiVe Chinese pathwaY language model in medical domain. CoRR abs/2307.10512 (2023) - [i16]Yuanbin Chen, Tao Wang, Hui Tang, Longxuan Zhao, Ruige Zong, Tao Tan, Xinlin Zhang, Tong Tong:
Dual-Decoder Consistency via Pseudo-Labels Guided Data Augmentation for Semi-Supervised Medical Image Segmentation. CoRR abs/2308.16573 (2023) - [i15]Tao Wang, Yuanbin Chen, Xinlin Zhang, Yuanbo Zhou, Junlin Lan, Bizhe Bai, Tao Tan, Min Du, Qinquan Gao, Tong Tong:
Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image Segmentation. CoRR abs/2311.10349 (2023) - [i14]Xiangyu Xiong, Yue Sun, Xiaohong Liu, Chan-Tong Lam, Tong Tong, Hao Chen, Qinquan Gao, Wei Ke, Tao Tan:
A Parameterized Generative Adversarial Network Using Cyclic Projection for Explainable Medical Image Classification. CoRR abs/2311.14388 (2023) - [i13]Luyi Han, Tao Tan, Ritse Mann:
Fine-Grained Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation. CoRR abs/2311.15090 (2023) - [i12]Rongsheng Wang, Haoming Chen, Ruizhe Zhou, Yaofei Duan, Kunyan Cai, Han Ma, Jiaxi Cui, Jian Li, Patrick Cheong-Iao Pang, Yapeng Wang, Tao Tan:
Aurora: Activating Chinese chat capability for Mixtral-8x7B sparse Mixture-of-Experts through Instruction-Tuning. CoRR abs/2312.14557 (2023) - [i11]Xiangyu Xiong, Yue Sun, Xiaohong Liu, Wei Ke, Chan-Tong Lam, Jiangang Chen, Mingfeng Jiang, Mingwei Wang, Hui Xie, Tong Tong, Qinquan Gao, Hao Chen, Tao Tan:
Distance Guided Generative Adversarial Network for Explainable Binary Classifications. CoRR abs/2312.17538 (2023) - 2022
- [j18]Tao Tan, Bipul Das, Ravi Soni, Mate Fejes, Hongxu Yang, Sohan Ranjan, Daniel Attila Szabo, Vikram Melapudi, K. S. Shriram, Utkarsh Agrawal, László Ruskó, Zita Herczeg, Barbara Darázs, Pal Tegzes, Lehel Ferenczi, Rakesh Mullick, Gopal Avinash:
Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists. Neurocomputing 485: 36-46 (2022) - [j17]Tao Tan, Ravi Soni, Jungong Han, Shuo Li:
Guest Editorial Artificial Intelligence in Pre-DICOM. IEEE J. Biomed. Health Informatics 26(9): 4357-4358 (2022) - [c23]Haixia Liu, Tim J. Brailsford, James Goulding, Tomas Maul, Tao Tan, Debanjan Chaudhuri:
Towards Idea Mining: Problem-Solution Phrase Extraction from Text. ADMA (2) 2022: 3-14 - [c22]Luyi Han, Yunzhi Huang, Tao Tan, Ritse Mann:
Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation and Koos Grade Prediction Based on Semi-supervised Contrastive Learning. BrainLes@MICCAI (2) 2022: 49-58 - [c21]Yuan Xu, Tao Tan, Chao Ma:
Research on inertial navigation component measurement and control system. CIS 2022: 428-431 - [c20]Siyi Xun, Yan Zhang, Sixu Duan, Huachao Chen, Mingwei Wang, Jiangang Chen, Tao Tan:
RGA-Unet: An improved U-net segmentation model based on residual grouped convolution and convolutional block attention module for brain tumor MRI image segmentation. CSSE 2022: 319-324 - [c19]Xiaomeng Dong, Tao Tan, Michael Potter, Yun-Chan Tsai, Gaurav Kumar, V. Ratna Saripalli, Theodore B. Trafalis:
Autonomous Learning Rate Optimization for Deep Learning. LION 2022: 292-305 - [c18]Rongsheng Wang, Yukun Li, Yaofei Duan, Tao Tan:
EfficientNet-YOLOv5: Improved YOLOv5 Based on EfficientNet Backbone for Object Detection on Marine Microalgae. UV 2022: 1-5 - [i10]Luyi Han, Yunzhi Huang, Tao Tan, Ritse Mann:
Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation and Koos Grade Prediction based on Semi-Supervised Contrastive Learning. CoRR abs/2210.04255 (2022) - 2021
- [j16]Seyyed Mohammad Reza Hashemi, Hamid Hassanpour, Ehsan Kozegar, Tao Tan:
Cystoscopic Image Classification by Unsupervised Feature Learning and Fusion of Classifiers. IEEE Access 9: 126610-126622 (2021) - [j15]Caifeng Shan, Tao Tan, Jungong Han, Di Huang:
Ultrasound tissue classification: a review. Artif. Intell. Rev. 54(4): 3055-3088 (2021) - [j14]Jie Xing, Zheren Li, Biyuan Wang, Yuji Qi, Bingbin Yu, Farhad Ghazvinian Zanjani, Aiwen Zheng, Remco Duits, Tao Tan:
Lesion Segmentation in Ultrasound Using Semi-Pixel-Wise Cycle Generative Adversarial Nets. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2555-2565 (2021) - [j13]Zhang Li, Jiehua Zhang, Tao Tan, Xichao Teng, Xiaoliang Sun, Hong Zhao, Lihong Liu, Yang Xiao, Byungjae Lee, Yilong Li, Qianni Zhang, Shujiao Sun, Yushan Zheng, Junyu Yan, Ni Li, Yiyu Hong, Junsu Ko, Hyun Jung, Yanling Liu, Yu-cheng Chen, Ching-Wei Wang, Vladimir Yurovskiy, Pavel Maevskikh, Vahid Khanagha, Yi Jiang, Li Yu, Zhihong Liu, Daiqiang Li, Peter J. Schüffler, Qifeng Yu, Hui Chen, Yuling Tang, Geert Litjens:
Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopathology Images - The ACDC@LungHP Challenge 2019. IEEE J. Biomed. Health Informatics 25(2): 429-440 (2021) - [c17]László Ruskó, Marta E. Capala, Vanda Czipczer, Bernadett Kolozsvári, Borbála Deák-Karancsi, Renáta Czabány, Bence Gyalai, Tao Tan, Zoltán Végváry, Emoke Borzasi, Zsófia Együd, Renáta Kószó, Viktor Paczona, Emese Fodor, Chad Bobb, Cristina Cozzini, Sandeep Kaushik, Barbara Darázs, Gerda M. Verduijn, Rachel Pearson, Ross Maxwell, Hazel Mccallum, Juan Antonio Hernández Tamames, Katalin Hideghéty, Steven F. Petit, Florian Wiesinger:
Deep-Learning-based Segmentation of Organs-at-Risk in the Head for MR-assisted Radiation Therapy Planning. BIOIMAGING 2021: 31-43 - [c16]Tao Tan, Bipul Das, Ravi Soni, Mate Fejes, Sohan Ranjan, Daniel Attila Szabo, Vikram Melapudi, K. S. Shriram, Utkarsh Agrawal, László Ruskó, Zita Herczeg, Barbara Darázs, Pal Tegzes, Lehel Ferenczi, Rakesh Mullick, Gopal Avinash:
Pristine Annotations-Based Multi-modal Trained Artificial Intelligence Solution to Triage Chest X-Ray for COVID-19. MICCAI (7) 2021: 325-334 - [i9]Xiaomeng Dong, Tao Tan, Michael Potter, Yun-Chan Tsai, Gaurav Kumar, V. Ratna Saripalli:
To Raise or Not To Raise: The Autonomous Learning Rate Question. CoRR abs/2106.08767 (2021) - [i8]Hamed Fayyaz, Ehsan Kozegar, Tao Tan, Mohsen Soryani:
Mass Segmentation in Automated 3-D Breast Ultrasound Using Dual-Path U-net. CoRR abs/2109.08330 (2021) - 2020
- [j12]Ehsan Kozegar, Mohsen Soryani, Hamid Behnam, Masoumeh Salamati, Tao Tan:
Computer aided detection in automated 3-D breast ultrasound images: a survey. Artif. Intell. Rev. 53(3): 1919-1941 (2020) - [j11]Caifeng Shan, Tao Tan, Shandong Wu, Julia A. Schnabel:
Guest Editorial: Deep Learning in Ultrasound Imaging. IEEE J. Biomed. Health Informatics 24(4): 929-930 (2020) - [c15]Yue Sun, Deedee Kommers, Tao Tan, Wenjin Wang, Xi Long, Caifeng Shan, Carola van Pul, Ronald M. Aarts, Peter Andriessen, Peter H. N. de With:
Automated discomfort detection for premature infants in NICU using time-frequency feature-images and CNNs. Computer-Aided Diagnosis 2020 - [i7]Ruisheng Su, Weiyi Xie, Tao Tan:
2.75D Convolutional Neural Network for Pulmonary Nodule Classification in Chest CT. CoRR abs/2002.04251 (2020) - [i6]Zhang Li, Jiehua Zhang, Tao Tan, Xichao Teng, Xiaoliang Sun, Yang Li, Lihong Liu, Yang Xiao, Byungjae Lee, Yilong Li, Qianni Zhang, Shujiao Sun, Yushan Zheng, Junyu Yan, Ni Li, Yiyu Hong, Junsu Ko, Hyun Jung, Yanling Liu, Yu-cheng Chen, Ching-Wei Wang, Vladimir Yurovskiy, Pavel Maevskikh, Vahid Khanagha, Yi Jiang, Xiangjun Feng, Zhihong Liu, Daiqiang Li, Peter J. Schüffler, Qifeng Yu, Hui Chen, Yuling Tang, Geert Litjens:
Deep Learning Methods for Lung Cancer Segmentation in Whole-slide Histopathology Images - the ACDC@LungHP Challenge 2019. CoRR abs/2008.09352 (2020) - [i5]Tao Tan, Bipul Das, Ravi Soni, Mate Fejes, Sohan Ranjan, Daniel Attila Szabo, Vikram Melapudi, K. S. Shriram, Utkarsh Agrawal, László Ruskó, Zita Herczeg, Barbara Darázs, Pal Tegzes, Lehel Ferenczi, Rakesh Mullick, Gopal Avinash:
Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19. CoRR abs/2011.05186 (2020)
2010 – 2019
- 2019
- [j10]Jiong Zhang, Behdad Dashtbozorg, Fan Huang, Tao Tan, Bart M. ter Haar Romeny:
A fully automated pipeline of extracting biomarkers to quantify vascular changes in retina-related diseases. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 7(5-6): 616-631 (2019) - [j9]Shengyu Fan, Yueyan Bian, Hao Chen, Yan Kang, Qi Yang, Tao Tan:
Unsupervised Cerebrovascular Segmentation of TOF-MRA Images Based on Deep Neural Network and Hidden Markov Random Field Model. Frontiers Neuroinformatics 13: 77 (2019) - [j8]Yang Li, Wei-Gang Cui, Hui Huang, Yuzhu Guo, Ke Li, Tao Tan:
Epileptic seizure detection in EEG signals using sparse multiscale radial basis function networks and the Fisher vector approach. Knowl. Based Syst. 164: 96-106 (2019) - [j7]Yue Sun, Caifeng Shan, Tao Tan, Xi Long, Arash Pourtaherian, Svitlana Zinger, Peter H. N. de With:
Video-based discomfort detection for infants. Mach. Vis. Appl. 30(5): 933-944 (2019) - [j6]Xi Long, Renée A. Otte, Eric van der Sanden, Jan Werth, Tao Tan:
Video-Based Actigraphy for Monitoring Wake and Sleep in Healthy Infants: A Laboratory Study. Sensors 19(5): 1075 (2019) - [c14]Hao Cheng, Dongze Lian, Bowen Deng, Shenghua Gao, Tao Tan, Yanlin Geng:
Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks. CVPR 2019: 4748-4756 - [c13]Yue Sun, Deedee Kommers, Wenjin Wang, Rohan Joshi, Caifeng Shan, Tao Tan, Ronald M. Aarts, Carola van Pul, Peter Andriessen, Peter H. N. de With:
Automatic and Continuous Discomfort Detection for Premature Infants in a NICU Using Video-Based Motion Analysis. EMBC 2019: 5995-5999 - [c12]Farhad Ghazvinian Zanjani, Andreas Panteli, Svitlana Zinger, Fons van der Sommen, Tao Tan, Benjamin Balluff, D. R. Naomi Vos, Shane R. Ellis, Ron M. A. Heeren, Marit Lucas, Henk A. Marquering, Ivo G. H. Jansen, C. D. Savci-Heijink, Daniel M. de Bruin, Peter H. N. de With:
Cancer Detection in Mass Spectrometry Imaging Data by Recurrent Neural Networks. ISBI 2019: 674-678 - [c11]Pim Jan Christiaan Weijtmans, Caifeng Shan, Tao Tan, Susan G. Brouwer de Koning, Theodoor Jacques Marie Ruers:
A Dual Stream Network for Tumor Detection in Hyperspectral Images. ISBI 2019: 1256-1259 - [c10]Hongxu Yang, Caifeng Shan, Tao Tan, Alexander F. Kolen, Peter H. N. de With:
Transferring from ex-vivo to in-vivo: Instrument Localization in 3D Cardiac Ultrasound Using Pyramid-UNet with Hybrid Loss. MICCAI (5) 2019: 263-271 - [c9]Farhad Ghazvinian Zanjani, David Anssari Moin, Bas Verheij, Frank Claessen, Teo Cherici, Tao Tan, Peter H. N. de With:
Deep Learning Approach to Semantic Segmentation in 3D Point Cloud Intra-oral Scans of Teeth. MIDL 2019: 557-571 - [i4]Jie Xing, Zheren Li, Biyuan Wang, Bingbin Yu, Farhad Ghazvinian Zanjani, Aiwen Zheng, Remco Duits, Tao Tan:
Automated Segmentation of Lesions in Ultrasound Using Semi-pixel-wise Cycle Generative Adversarial Nets. CoRR abs/1905.01902 (2019) - 2018
- [j5]Fan Huang, Behdad Dashtbozorg, Tao Tan, Bart M. ter Haar Romeny:
Retinal artery/vein classification using genetic-search feature selection. Comput. Methods Programs Biomed. 161: 197-207 (2018) - [j4]Ehsan Kozegar, Mohsen Soryani, Hamid Behnam, Masoumeh Salamati, Tao Tan:
Mass Segmentation in Automated 3-D Breast Ultrasound Using Adaptive Region Growing and Supervised Edge-Based Deformable Model. IEEE Trans. Medical Imaging 37(4): 918-928 (2018) - [c8]Xiayu Xu, Tao Tan, Feng Xu:
An Improved U-Net Architecture for Simultaneous Arteriole and Venule Segmentation in Fundus Image. MIUA 2018: 333-340 - [i3]Tao Tan, Zhang Li, Haixia Liu, Ping Liu, Wenfang Tang, Hui Li, Yue Sun, Yusheng Yan, Keyu Li, Tao Xu, Shanshan Wan, Ke Lou, Jun Xu, Huiming Ying, Quchang Ouyang, Yuling Tang, Zheyu Hu, Qiang Li:
Optimize transfer learning for lung diseases in bronchoscopy using a new concept: sequential fine-tuning. CoRR abs/1802.03617 (2018) - [i2]Zhang Li, Zheyu Hu, Jiaolong Xu, Tao Tan, Hui Chen, Zhi Duan, Ping Liu, Jun Tang, Guoping Cai, Quchang Ouyang, Yuling Tang, Geert Litjens, Qiang Li:
Computer-aided diagnosis of lung carcinoma using deep learning - a pilot study. CoRR abs/1803.05471 (2018) - 2017
- [i1]Dongsheng Jiang, Weiqiang Dou, Luc P. J. Vosters, Xiayu Xu, Yue Sun, Tao Tan:
Denoising of 3D magnetic resonance images with multi-channel residual learning of convolutional neural network. CoRR abs/1712.08726 (2017) - 2016
- [c7]Albert Gubern-Mérida, Tao Tan, Jan van Zelst, Ritse M. Mann, Nico Karssemeijer:
Automated linking of suspicious findings between automated 3D breast ultrasound volumes. Computer-Aided Diagnosis 2016: 97850N - [c6]Mohammad Razavi, Lei Wang, Tao Tan, Nico Karssemeijer, Lars Linsen, Udo Frese, Horst K. Hahn, Gabriel Zachmann:
Novel Morphological Features for Non-mass-like Breast Lesion Classification on DCE-MRI. MLMI@MICCAI 2016: 305-312 - 2014
- [c5]Tao Tan, Jan van Zelst, Wei Zhang, Ritse M. Mann, Bram Platel, Nico Karssemeijer:
Chest-wall segmentation in automated 3D breast ultrasound images using thoracic volume classification. Computer-Aided Diagnosis 2014: 90351Y - [c4]Mandana Javanshir Moghaddam, Tao Tan, Nico Karssemeijer, Bram Platel:
Automatic nipple detection on 3D images of an automated breast ultrasound system (ABUS). Image Processing 2014: 903405 - 2013
- [j3]Tao Tan, Bram Platel, Ritse Mann, Henkjan J. Huisman, Nico Karssemeijer:
Chest wall segmentation in automated 3D breast ultrasound scans. Medical Image Anal. 17(8): 1273-1281 (2013) - [j2]Tao Tan, Bram Platel, Roel Mus, László K. Tabár, Ritse M. Mann, Nico Karssemeijer:
Computer-Aided Detection of Cancer in Automated 3-D Breast Ultrasound. IEEE Trans. Medical Imaging 32(9): 1698-1706 (2013) - [c3]Tao Tan, Bram Platel, Michael Hicks, Ritse M. Mann, Nico Karssemeijer:
Finding lesion correspondences in different views of automated 3D breast ultrasound. Computer-Aided Diagnosis 2013: 86701N - 2012
- [j1]Tao Tan, Bram Platel, Henkjan J. Huisman, Clara I. Sánchez, Roel Mus, Nico Karssemeijer:
Computer-Aided Lesion Diagnosis in Automated 3-D Breast Ultrasound Using Coronal Spiculation. IEEE Trans. Medical Imaging 31(5): 1034-1042 (2012) - [c2]Tao Tan, Bram Platel, Roel Mus, Nico Karssemeijer:
Detection of breast cancer in automated 3D breast ultrasound. Computer-Aided Diagnosis 2012: 831505 - 2011
- [c1]Tao Tan, Henkjan J. Huisman, Bram Platel, André Grivegnée, Roel Mus, Nico Karssemeijer:
Classification of breast lesions in automated 3D breast ultrasound. Computer-Aided Diagnosis 2011: 79630X
Coauthor Index
Regina Beets-Tan
aka: Regina G. H. Beets-Tan
aka: Regina G. H. Beets-Tan
Ritse Mann
aka: Ritse M. Mann
aka: Ritse M. Mann
[j79] [j77] [j73] [j71] [j70] [j69] [j63] [j62] [j60] [j56] [j54] [j52] [j51] [c67] [c65] [c60] [c59] [c57] [c56] [c54] [c53] [c50] [c48] [c47] [i55] [i52] [i50] [i46] [i43] [i42] [i39] [j43] [j41] [j40] [j36] [j28] [c46] [c44] [c43] [c42] [c41] [c40] [c39] [i35] [c32] [i14] [i11] [c15] [j7] [c13] [i3] [i1]
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