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Jiancheng Yang
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2020 – today
- 2024
- [j7]Jiahao Shi
, Hongyu Ge, Shuohong Wang
, Donglai Wei, Jiancheng Yang, Ao Cheng, Richard Schalek, Jun Guo, Jeff Lichtman, Lirong Wang, Ruobing Zhang
:
Two-stage error detection to improve electron microscopy image mosaicking. Comput. Biol. Medicine 178: 108456 (2024) - [j6]Jiancheng Yang
:
Multi-task learning for medical foundation models. Nat. Comput. Sci. 4(7): 473-474 (2024) - [j5]Liang Jin
, Shixuan Gu
, Donglai Wei, Jason Ken Adhinarta
, Kaiming Kuang, Yongjie Jessica Zhang
, Hanspeter Pfister
, Bingbing Ni
, Jiancheng Yang
, Ming Li:
: A Large-Scale Benchmark for Rib Labeling and Anatomical Centerline Extraction. IEEE Trans. Medical Imaging 43(1): 570-581 (2024) - [j4]Wei Zhao
, Weidao Chen, Ge Li, Du Lei, Jiancheng Yang
, Yanjing Chen
, Yingjia Jiang, Jiangfen Wu
, Bingbing Ni
, Yeqi Sun, Shaokang Wang, Yingli Sun, Ming Li, Jun Liu
:
GMILT: A Novel Transformer Network That Can Noninvasively Predict EGFR Mutation Status. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7324-7338 (2024) - [i36]Jiancheng Yang, Rui Shi, Liang Jin, Xiaoyang Huang, Kaiming Kuang, Donglai Wei, Shixuan Gu, Jianying Liu, Pengfei Liu, Zhizhong Chai, Yongjie Xiao, Hao Chen, Liming Xu, Bang Du, Xiangyi Yan, Hao Tang, Adam M. Alessio, Gregory Holste, Jiapeng Zhang, Xiaoming Wang, Jianye He, Lixuan Che, Hanspeter Pfister, Ming Li, Bingbing Ni:
Deep Rib Fracture Instance Segmentation and Classification from CT on the RibFrac Challenge. CoRR abs/2402.09372 (2024) - [i35]Hantao Zhang, Jiancheng Yang, Shouhong Wan, Pascal Fua:
LeFusion: Synthesizing Myocardial Pathology on Cardiac MRI via Lesion-Focus Diffusion Models. CoRR abs/2403.14066 (2024) - [i34]Sihan Shang, Jiancheng Yang, Zhenglong Sun, Pascal Fua:
DataCook: Crafting Anti-Adversarial Examples for Healthcare Data Copyright Protection. CoRR abs/2403.17755 (2024) - [i33]Shixuan Gu, Jason Ken Adhinarta, Mikhail Bessmeltsev, Jiancheng Yang, Jessica Zhang, Daniel R. Berger, Jeff W. Lichtman, Hanspeter Pfister, Donglai Wei:
FreSeg: Frenet-Frame-based Part Segmentation for 3D Curvilinear Structures. CoRR abs/2404.14435 (2024) - [i32]Danli Shi, Weiyi Zhang, Xiaolan Chen, Yexin Liu, Jiancheng Yang, Siyu Huang, Yih Chung Tham, Yingfeng Zheng, Mingguang He:
EyeFound: A Multimodal Generalist Foundation Model for Ophthalmic Imaging. CoRR abs/2405.11338 (2024) - 2023
- [j3]Minghui Zhang
, Yangqian Wu, Hanxiao Zhang, Yulei Qin, Hao Zheng, Wen Tang, Corey W. Arnold, Chenhao Pei
, Pengxin Yu, Yang Nan, Guang Yang, Simon Walsh, Dominic C. Marshall, Matthieu Komorowski, Puyang Wang, Dazhou Guo, Dakai Jin, Yanan Wu, Shuiqing Zhao, Runsheng Chang, Boyu Zhang, Xing Lu, Abdul Qayyum, Moona Mazher, Qi Su, Yonghuang Wu, Ying'ao Liu, Yufei Zhu, Jiancheng Yang
, Ashkan Pakzad, Bojidar Rangelov, Raúl San José Estépar, Carlos Cano-Espinosa, Jiayuan Sun, Guang-Zhong Yang, Yun Gu
:
Multi-site, Multi-domain Airway Tree Modeling. Medical Image Anal. 90: 102957 (2023) - [c32]Xiaohuan Kuang, Kang Yuan, Bo Du, Jiancheng Yang
:
Efficient Lung Nodule Detection via 3D Deep Learning with Shifted Convolutions. IJCNN 2023: 1-8 - [c31]Won-Dong Jang, Stanislav Lukyanenko, Donglai Wei, Jiancheng Yang
, Brian D. Leahy, Helen Y. Yang, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister:
Multi-Task Curriculum Learning for Partially Labeled Data. ISBI 2023: 1-5 - [c30]Ziqiao Weng, Jiancheng Yang
, Dongnan Liu, Tom Weidong Cai
:
Topology Repairing of Disconnected Pulmonary Airways and Vessels: Baselines and a Dataset. MICCAI (7) 2023: 382-392 - [c29]Zhihao Li, Jiancheng Yang
, Yongchao Xu, Li Zhang, Wenhui Dong, Bo Du:
Scale-Aware Test-Time Click Adaptation for Pulmonary Nodule and Mass Segmentation. MICCAI (3) 2023: 681-691 - [c28]Chinmay Prabhakar, Hongwei Li, Jiancheng Yang, Suprosanna Shit, Benedikt Wiestler, Bjoern H. Menze:
ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations. MIDL 2023: 666-679 - [i31]Chinmay Prabhakar, Hongwei Bran Li, Jiancheng Yang, Suprosanna Shit, Benedikt Wiestler, Bjoern H. Menze:
ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations. CoRR abs/2301.07382 (2023) - [i30]Rui Xu, Zhi Liu, Yong Luo, Han Hu, Li Shen, Bo Du, Kaiming Kuang, Jiancheng Yang:
SGDA: Towards 3D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention. CoRR abs/2303.03625 (2023) - [i29]Minghui Zhang, Yangqian Wu, Hanxiao Zhang, Yulei Qin, Hao Zheng, Wen Tang, Corey W. Arnold, Chenhao Pei, Pengxin Yu, Yang Nan, Guang Yang, Simon Walsh, Dominic C. Marshall, Matthieu Komorowski, Puyang Wang, Dazhou Guo, Dakai Jin, Yanan Wu, Shuiqing Zhao, Runsheng Chang, Boyu Zhang, Xing Lv, Abdul Qayyum, Moona Mazher
, Qi Su, Yonghuang Wu, Ying'ao Liu, Yufei Zhu, Jiancheng Yang, Ashkan Pakzad, Bojidar Rangelov, Raúl San José Estépar, Carlos Cano-Espinosa, Jiayuan Sun, Guang-Zhong Yang, Yun Gu:
Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation. CoRR abs/2303.05745 (2023) - [i28]Jiancheng Yang, Hongwei Bran Li, Donglai Wei:
The Impact of ChatGPT and LLMs on Medical Imaging Stakeholders: Perspectives and Use Cases. CoRR abs/2306.06767 (2023) - [i27]Ziqiao Weng, Jiancheng Yang, Dongnan Liu, Tom Weidong Cai:
Topology Repairing of Disconnected Pulmonary Airways and Vessels: Baselines and a Dataset. CoRR abs/2306.07089 (2023) - [i26]Hieu Le, Nicolas Talabot, Jiancheng Yang, Pascal Fua:
Enforcing Topological Interaction between Implicit Surfaces via Uniform Sampling. CoRR abs/2307.08716 (2023) - [i25]Zhihao Li, Jiancheng Yang, Yongchao Xu, Li Zhang, Wenhui Dong, Bo Du:
Scale-aware Test-time Click Adaptation for Pulmonary Nodule and Mass Segmentation. CoRR abs/2307.15645 (2023) - [i24]Kangxian Xie, Jiancheng Yang, Donglai Wei, Ziqiao Weng, Pascal Fua:
Efficient Anatomical Labeling of Pulmonary Tree Structures via Implicit Point-Graph Networks. CoRR abs/2309.17329 (2023) - 2022
- [c27]Jiancheng Yang
, Udaranga Wickramasinghe, Bingbing Ni, Pascal Fua:
ImplicitAtlas: Learning Deformable Shape Templates in Medical Imaging. CVPR 2022: 15840-15850 - [c26]Xiaoyang Huang, Jiancheng Yang, Yanjun Wang, Ziyu Chen, Linguo Li, Teng Li, Bingbing Ni, Wenjun Zhang:
Representation-Agnostic Shape Fields. ICLR 2022 - [c25]Dingyi Rong, Jiancheng Yang
, Bingbing Ni, Bilian Ke:
Differentiable Projection from Optical Coherence Tomography B-Scan without Retinal Layer Segmentation Supervision. ISBI 2022: 1-5 - [c24]Udaranga Wickramasinghe, Patrick M. Jensen
, Mian Shah, Jiancheng Yang
, Pascal Fua:
Weakly Supervised Volumetric Image Segmentation with Deformed Templates. MICCAI (5) 2022: 422-432 - [c23]Kaiming Kuang, Li Zhang, Jingyu Li, Hongwei Li
, Jiajun Chen, Bo Du, Jiancheng Yang
:
What Makes for Automatic Reconstruction of Pulmonary Segments. MICCAI (1) 2022: 495-505 - [c22]Jiancheng Yang
, Rui Shi
, Udaranga Wickramasinghe, Qikui Zhu, Bingbing Ni, Pascal Fua:
Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis. MICCAI (4) 2022: 503-513 - [c21]Rui Xu, Yong Luo, Bo Du, Kaiming Kuang, Jiancheng Yang
:
LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection. MICCAI (1) 2022: 664-674 - [c20]Qikui Zhu, Yanqing Wang, Lei Yin, Jiancheng Yang
, Fei Liao, Shuo Li
:
SelfMix: A Self-adaptive Data Augmentation Method for Lesion Segmentation. MICCAI (4) 2022: 683-692 - [i23]Xiaoyang Huang, Jiancheng Yang, Yanjun Wang, Ziyu Chen, Linguo Li, Teng Li, Bingbing Ni, Wenjun Zhang:
Representation-Agnostic Shape Fields. CoRR abs/2203.10259 (2022) - [i22]Dingyi Rong, Jiancheng Yang, Bingbing Ni, Bilian Ke:
Differentiable Projection from Optical Coherence Tomography B-Scan without Retinal Layer Segmentation Supervision. CoRR abs/2206.05472 (2022) - [i21]Jiancheng Yang, Rui Shi, Udaranga Wickramasinghe, Qikui Zhu, Bingbing Ni, Pascal Fua:
Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis. CoRR abs/2206.15328 (2022) - [i20]Kaiming Kuang, Li Zhang, Jingyu Li, Hongwei Li, Jiajun Chen, Bo Du, Jiancheng Yang:
What Makes for Automatic Reconstruction of Pulmonary Segments. CoRR abs/2207.03078 (2022) - [i19]Rui Xu, Yong Luo, Bo Du, Kaiming Kuang, Jiancheng Yang:
LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection. CoRR abs/2208.02122 (2022) - [i18]Liang Jin, Shixuan Gu, Donglai Wei, Kaiming Kuang, Hanspeter Pfister
, Bingbing Ni, Jiancheng Yang, Ming Li:
RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical Centerline Extraction. CoRR abs/2210.09309 (2022) - 2021
- [j2]Tiancheng Lin
, Yuanfan Guo, Canqian Yang, Jiancheng Yang
, Yi Xu:
Decoupled gradient harmonized detector for partial annotation: Application to signet ring cell detection. Neurocomputing 453: 337-346 (2021) - [j1]Jiancheng Yang
, Xiaoyang Huang
, Yi He, Jingwei Xu, Canqian Yang
, Guozheng Xu, Bingbing Ni
:
Reinventing 2D Convolutions for 3D Images. IEEE J. Biomed. Health Informatics 25(8): 3009-3018 (2021) - [c19]Linguo Li, Minsi Wang, Bingbing Ni, Hang Wang, Jiancheng Yang
, Wenjun Zhang:
3D Human Action Representation Learning via Cross-View Consistency Pursuit. CVPR 2021: 4741-4750 - [c18]Ye Chen, Jinxian Liu, Bingbing Ni, Hang Wang, Jiancheng Yang
, Ning Liu, Teng Li, Qi Tian:
Shape Self-Correction for Unsupervised Point Cloud Understanding. ICCV 2021: 8362-8371 - [c17]Jiancheng Yang
, Rui Shi
, Bingbing Ni:
MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis. ISBI 2021: 191-195 - [c16]Jiancheng Yang
, Yi He, Kaiming Kuang, Zudi Lin
, Hanspeter Pfister
, Bingbing Ni:
Asymmetric 3D Context Fusion for Universal Lesion Detection. MICCAI (5) 2021: 571-580 - [c15]Jiancheng Yang
, Shixuan Gu
, Donglai Wei, Hanspeter Pfister
, Bingbing Ni:
RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans. MICCAI (1) 2021: 611-621 - [i17]Linguo Li, Minsi Wang, Bingbing Ni, Hang Wang, Jiancheng Yang, Wenjun Zhang:
3D Human Action Representation Learning via Cross-View Consistency Pursuit. CoRR abs/2104.14466 (2021) - [i16]Jiancheng Yang, Yi He, Kaiming Kuang, Zudi Lin, Hanspeter Pfister, Bingbing Ni:
Asymmetric 3D Context Fusion for Universal Lesion Detection. CoRR abs/2109.08684 (2021) - [i15]Jiancheng Yang, Shixuan Gu, Donglai Wei, Hanspeter Pfister, Bingbing Ni:
RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans. CoRR abs/2109.09521 (2021) - [i14]Jiancheng Yang, Rui Shi, Donglai Wei, Zequan Liu, Lin Zhao, Bilian Ke, Hanspeter Pfister, Bingbing Ni:
MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification. CoRR abs/2110.14795 (2021) - 2020
- [c14]Jingwei Xu, Zhenbo Yu, Bingbing Ni, Jiancheng Yang
, Xiaokang Yang, Wenjun Zhang:
Deep Kinematics Analysis for Monocular 3D Human Pose Estimation. CVPR 2020: 896-905 - [c13]Xi Fang, Jiancheng Yang
, Bingbing Ni:
Stochastic Label Refinery: Toward Better Target Label Distribution. ICPR 2020: 9115-9121 - [c12]Jiancheng Yang
, Haoran Deng, Xiaoyang Huang, Bingbing Ni, Yi Xu:
Relational Learning Between Multiple Pulmonary Nodules via Deep Set Attention Transformers. ISBI 2020: 1875-1878 - [c11]Jiancheng Yang
, Jiajun Chen, Kaiming Kuang, Tiancheng Lin, Junjun He, Bingbing Ni:
MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response. MICCAI (2) 2020: 211-220 - [c10]Jiancheng Yang
, Mingze Gao, Kaiming Kuang, Bingbing Ni, Yunlang She, Dong Xie, Chang Chen:
Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study. MICCAI (6) 2020: 497-507 - [c9]Yamin Li, Jiancheng Yang
, Yi Xu, Jingwei Xu, Xiaodan Ye, Guangyu Tao, Xueqian Xie, Guixue Liu:
Learning Tumor Growth via Follow-Up Volume Prediction for Lung Nodules. MICCAI (6) 2020: 508-517 - [c8]Jiancheng Yang
, Yi He, Xiaoyang Huang, Jingwei Xu, Xiaodan Ye, Guangyu Tao, Bingbing Ni:
AlignShift: Bridging the Gap of Imaging Thickness in 3D Anisotropic Volumes. MICCAI (4) 2020: 562-572 - [c7]Jiancheng Yang, Yangzhou Jiang, Xiaoyang Huang, Bingbing Ni, Chenglong Zhao:
Learning Black-Box Attackers with Transferable Priors and Query Feedback. NeurIPS 2020 - [i13]Tiancheng Lin, Yuanfan Guo, Canqian Yang, Jiancheng Yang, Yi Xu:
Decoupled Gradient Harmonized Detector for Partial Annotation: Application to Signet Ring Cell Detection. CoRR abs/2004.04455 (2020) - [i12]Jiancheng Yang, Haoran Deng, Xiaoyang Huang, Bingbing Ni, Yi Xu:
Relational Learning between Multiple Pulmonary Nodules via Deep Set Attention Transformers. CoRR abs/2004.05640 (2020) - [i11]Jiancheng Yang, Yi He, Xiaoyang Huang, Jingwei Xu, Xiaodan Ye, Guangyu Tao, Bingbing Ni:
AlignShift: Bridging the Gap of Imaging Thickness in 3D Anisotropic Volumes. CoRR abs/2005.01969 (2020) - [i10]Yamin Li, Jiancheng Yang, Yi Xu, Jingwei Xu, Xiaodan Ye, Guangyu Tao, Xueqian Xie, Guixue Liu:
Malignancy-Aware Follow-Up Volume Prediction for Lung Nodules. CoRR abs/2006.13890 (2020) - [i9]Jiancheng Yang, Mingze Gao, Kaiming Kuang, Bingbing Ni, Yunlang She, Dong Xie, Chang Chen:
Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study. CoRR abs/2010.04049 (2020) - [i8]Jiancheng Yang, Jiajun Chen, Kaiming Kuang, Tiancheng Lin, Junjun He, Bingbing Ni:
MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response. CoRR abs/2010.04062 (2020) - [i7]Jiancheng Yang, Yangzhou Jiang, Xiaoyang Huang, Bingbing Ni, Chenglong Zhao:
Learning Black-Box Attackers with Transferable Priors and Query Feedback. CoRR abs/2010.11742 (2020) - [i6]Jiancheng Yang, Rui Shi, Bingbing Ni:
MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis. CoRR abs/2010.14925 (2020)
2010 – 2019
- 2019
- [c6]Jiancheng Yang
, Qiang Zhang, Bingbing Ni, Linguo Li, Jinxian Liu, Mengdie Zhou, Qi Tian:
Modeling Point Clouds With Self-Attention and Gumbel Subset Sampling. CVPR 2019: 3323-3332 - [c5]Shao-Yung Lu, Siang-Sin Shan, Jiancheng Yang, Chin-Wei Chang, Fan Ren, Jenshan Lin
, Stephen J. Pearton
, Yu-Te Liao
:
A Reconfigurable, Pulse-shaping Potentiometric Readout System for Bio-Sensing Transistors. EMBC 2019: 5761-5764 - [c4]Jinxian Liu, Bingbing Ni, Caiyuan Li, Jiancheng Yang
, Qi Tian:
Dynamic Points Agglomeration for Hierarchical Point Sets Learning. ICCV 2019: 7545-7554 - [c3]Jiancheng Yang
, Rongyao Fang, Bingbing Ni, Yamin Li, Yi Xu, Linguo Li:
Probabilistic Radiomics: Ambiguous Diagnosis with Controllable Shape Analysis. MICCAI (6) 2019: 658-666 - [i5]Jiancheng Yang, Qiang Zhang, Rongyao Fang, Bingbing Ni, Jinxian Liu, Qi Tian:
Adversarial Attack and Defense on Point Sets. CoRR abs/1902.10899 (2019) - [i4]Jiancheng Yang, Qiang Zhang, Bingbing Ni, Linguo Li, Jinxian Liu, Mengdie Zhou, Qi Tian:
Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling. CoRR abs/1904.03375 (2019) - [i3]Xiaoyang Huang, Jiancheng Yang, Linguo Li, Haoran Deng, Bingbing Ni, Yi Xu:
Evaluating and Boosting Uncertainty Quantification in Classification. CoRR abs/1909.06030 (2019) - [i2]Jiancheng Yang, Rongyao Fang, Bingbing Ni, Yamin Li, Yi Xu, Linguo Li:
Probabilistic Radiomics: Ambiguous Diagnosis with Controllable Shape Analysis. CoRR abs/1910.08878 (2019) - [i1]Jiancheng Yang, Xiaoyang Huang, Bingbing Ni, Jingwei Xu, Canqian Yang, Guozheng Xu:
Reinventing 2D Convolutions for 3D Medical Images. CoRR abs/1911.10477 (2019) - 2018
- [c2]Jiancheng Yang, Fan Ren, Marko J. Tadjer, Stephen J. Pearton
, Akita Kuramata:
2.3 kV Field-Plated Vertical Ga2O3 Schottky Rectifiers and 1 a Forward Current with 650 V Reverse Breakdown Ga2O3 Field-Plated Schottky Barrier Diodes. DRC 2018: 1-2
2000 – 2009
- 2009
- [c1]Lei Wang, Jiancheng Yang, Xiaoqin Han, Lei Li, Yan Liu, Liangchao Cong:
The Research on Controlling Method of Loom Warp Tension. ISCID (1) 2009: 115-118
Coauthor Index
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