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2020 – today
- 2024
[j108]Yuqi Fang
, Pew-Thian Yap, Weili Lin, Hongtu Zhu, Ming-Xia Liu:
Source-free unsupervised domain adaptation: A survey. Neural Networks 174: 106230 (2024)- [j107]Khoi Minh Huynh, Wei-Tang Chang, Ye Wu, Pew-Thian Yap:
Optimal shrinkage denoising breaks the noise floor in high-resolution diffusion MRI. Patterns 5(4): 100954 (2024) - [j106]Hao Guan, Pew-Thian Yap, Andrea Bozoki, Mingxia Liu:
Federated learning for medical image analysis: A survey. Pattern Recognit. 151: 110424 (2024) - [j105]Xiaoyang Chen, Qin Liu, Hannah H. Deng, Tianshu Kuang, Hung-Ying Lin, Deqiang Xiao, Jaime Gateno, James J. Xia, Pew-Thian Yap:
Improving image segmentation with contextual and structural similarity. Pattern Recognit. 152: 110489 (2024) - [j104]Qianqian Wang, Wei Wang, Yuqi Fang, Pew-Thian Yap, Hongtu Zhu, Hong-Jun Li, Lishan Qiao, Mingxia Liu:
Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI. IEEE Trans. Biomed. Eng. 71(8): 2391-2401 (2024) - [c143]Guoshi Li, Kim-Han Thung, Hoyt Patrick Taylor, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Sahar Ahmad, Pew-Thian Yap:
Development of Effective Connectome from Infancy to Adolescence. MICCAI (3) 2024: 131-140 - [c142]Yunkui Pang, Yilin Liu, Xu Chen, Pew-Thian Yap, Jun Lian:
SinoSynth: A Physics-Based Domain Randomization Approach for Generalizable CBCT Image Enhancement. MICCAI (7) 2024: 646-656 - [i30]Mengqi Wu, Lintao Zhang, Pew-Thian Yap, Hongtu Zhu, Mingxia Liu:
Disentangled Latent Energy-Based Style Translation: An Image-Level Structural MRI Harmonization Framework. CoRR abs/2402.06875 (2024) - [i29]Mengqi Wu, Minhui Yu, Shuaiming Jing, Pew-Thian Yap, Zhengwu Zhang, Mingxia Liu:
Unpaired Volumetric Harmonization of Brain MRI with Conditional Latent Diffusion. CoRR abs/2408.09315 (2024) - [i28]Yunkui Pang, Yilin Liu, Xu Chen, Pew-Thian Yap, Jun Lian:
SinoSynth: A Physics-based Domain Randomization Approach for Generalizable CBCT Image Enhancement. CoRR abs/2409.18355 (2024) - 2023
- [j103]Pengli Zhu, Siyuan Liu, Yancheng Liu, Pew-Thian Yap:
METER: Multi-task efficient transformer for no-reference image quality assessment. Appl. Intell. 53(24): 29974-29990 (2023) - [j102]Lei Ma, Chunfeng Lian, Dae-Seung Kim, Deqiang Xiao, Dongming Wei, Qin Liu, Tianshu Kuang, Maryam Ghanbari, Guoshi Li, Jaime Gateno, Steve Guo-Fang Shen, Li Wang, Dinggang Shen, James J. Xia, Pew-Thian Yap:
Bidirectional prediction of facial and bony shapes for orthognathic surgical planning. Medical Image Anal. 83: 102644 (2023) - [j101]Geng Chen, Yoonmi Hong, Khoi Minh Huynh, Pew-Thian Yap:
Deep learning prediction of diffusion MRI data with microstructure-sensitive loss functions. Medical Image Anal. 85: 102742 (2023) - [j100]Gabriel Girard, Jonathan Rafael-Patino, Raphaël Truffet, Dogu Baran Aydogan, Nagesh Adluru, Veena A. Nair, Vivek Prabhakaran, Barbara B. Bendlin, Andrew L. Alexander, Sara Bosticardo, Ilaria Gabusi, Mario Ocampo-Pineda, Matteo Battocchio, Zuzana Piskorova, Pietro Bontempi, Simona Schiavi, Alessandro Daducci, Aleksandra Stafiej, Dominika Ciupek, Fabian Bogusz, Tomasz Pieciak, Matteo Frigo, Sara Sedlar, Samuel Deslauriers-Gauthier, Ivana Kojcic, Mauro Zucchelli, Hiba Laghrissi, Yang Ji, Rachid Deriche, Kurt G. Schilling, Bennett A. Landman, Alberto Cacciola, Gianpaolo Antonio Basile, Salvatore Bertino, Nancy Newlin, Praitayini Kanakaraj, Francois Rheault, Patryk Filipiak, Timothy M. Shepherd, Ying-Chia Lin, Dimitris G. Placantonakis, Fernando E. Boada, Steven H. Baete, Erick Hernandez-Gutierrez, Alonso Ramirez-Manzanares, Ricardo Coronado-Leija, Pablo Stack-Sánchez, Luis Concha, Maxime Descoteaux, Sina Mansour L, Caio Seguin, Andrew Zalesky, Kenji Marshall, Erick Jorge Canales-Rodríguez, Ye Wu, Sahar Ahmad, Pew-Thian Yap, Antoine Théberge, Florence Gagnon, Frédéric Massi, Elda Fischi Gomez, Remy Gardier, Juan Luis Villarreal-Haro, Marco Pizzolato, Emmanuel Caruyer, Jean-Philippe Thiran:
Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge. NeuroImage 277: 120231 (2023) - [j99]Yunzhi Huang, Sahar Ahmad, Luyi Han, Shuai Wang, Zhengwang Wu, Weili Lin, Gang Li, Li Wang, Pew-Thian Yap:
Longitudinal prediction of postnatal brain magnetic resonance images via a metamorphic generative adversarial network. Pattern Recognit. 143: 109715 (2023) - [j98]Zhanlong Yang, Linzhi Yang, Geng Chen, Pew-Thian Yap:
Improved polar complex exponential transform for robust local image description. Pattern Recognit. 143: 109786 (2023) - [j97]Hao Guan, Ling Yue, Pew-Thian Yap, Shifu Xiao, Andrea Bozoki, Mingxia Liu:
Attention-Guided Autoencoder for Automated Progression Prediction of Subjective Cognitive Decline With Structural MRI. IEEE J. Biomed. Health Informatics 27(6): 2980-2989 (2023) - [j96]Huazhu Fu, Yitian Zhao, Pew-Thian Yap, Carola-Bibiane Schönlieb, Alejandro F. Frangi:
Guest Editorial Special Issue on Geometric Deep Learning in Medical Imaging. IEEE Trans. Medical Imaging 42(2): 332-335 (2023) - [j95]Lei Ma, Deqiang Xiao, Daeseung Kim, Chunfeng Lian, Tianshu Kuang, Qin Liu, Hannah H. Deng, Erkun Yang, Michael A. K. Liebschner, Jaime Gateno, James J. Xia, Pew-Thian Yap:
Simulation of Postoperative Facial Appearances via Geometric Deep Learning for Efficient Orthognathic Surgical Planning. IEEE Trans. Medical Imaging 42(2): 336-345 (2023) - [j94]Feng Cheng, Yilin Liu, Yong Chen, Pew-Thian Yap:
High-Resolution 3D Magnetic Resonance Fingerprinting With a Graph Convolutional Network. IEEE Trans. Medical Imaging 42(3): 674-683 (2023) - [j93]Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjölund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich:
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans. Medical Imaging 42(3): 697-712 (2023) - [c141]Yilin Liu, Jiang Li, Yunkui Pang, Dong Nie, Pew-Thian Yap:
The Devil is in the Upsampling: Architectural Decisions Made Simpler for Denoising with Deep Image Prior. ICCV 2023: 12374-12383 - [c140]Junjie Zhao, Siyuan Liu, Sahar Ahmad, Pew-Thian Yap:
MeshDeform: Surface Reconstruction of Subcortical Structures via Human Brain MRI. IPMI 2023: 536-547 - [c139]Junqing Yang, Haotian Jiang, Tewodros Tassew, Peng Sun, Jiquan Ma, Yong Xia, Pew-Thian Yap, Geng Chen:
Towards Accurate Microstructure Estimation via 3D Hybrid Graph Transformer. MICCAI (8) 2023: 25-34 - [c138]Khoi Minh Huynh, Ye Wu, Sahar Ahmad, Pew-Thian Yap:
Microstructure Fingerprinting for Heterogeneously Oriented Tissue Microenvironments. MICCAI (8) 2023: 131-141 - [c137]Ye Wu, Xiaoming Liu, Xinyuan Zhang, Khoi Minh Huynh, Sahar Ahmad, Pew-Thian Yap:
Relaxation-Diffusion Spectrum Imaging for Probing Tissue Microarchitecture. MICCAI (8) 2023: 152-162 - [c136]Hoyt Patrick Taylor, Pew-Thian Yap:
Dynamic Functional Connectome Harmonics. MICCAI (8) 2023: 268-276 - [c135]Xiaoyang Chen, Junjie Zhao, Siyuan Liu, Sahar Ahmad, Pew-Thian Yap:
SurfFlow: A Flow-Based Approach for Rapid and Accurate Cortical Surface Reconstruction from Infant Brain MRI. MICCAI (8) 2023: 380-388 - [c134]Mengqi Wu, Lintao Zhang, Pew-Thian Yap, Weili Lin, Hongtu Zhu, Mingxia Liu:
Structural MRI Harmonization via Disentangled Latent Energy-Based Style Translation. MLMI@MICCAI (1) 2023: 1-11 - [c133]Cheng Che Tsai, Xiaoyang Chen, Sahar Ahmad, Pew-Thian Yap:
Robust Unsupervised Super-Resolution of Infant MRI via Dual-Modal Deep Image Prior. MLMI@MICCAI (1) 2023: 42-51 - [i27]Yuqi Fang, Pew-Thian Yap, Weili Lin, Hongtu Zhu, Mingxia Liu:
Source-Free Unsupervised Domain Adaptation: A Survey. CoRR abs/2301.00265 (2023) - [i26]Xiaoyang Chen, Jinjian Wu, Wenjiao Lyu, Yicheng Zou, Kim-Han Thung, Siyuan Liu, Ye Wu, Sahar Ahmad, Pew-Thian Yap:
Brain Tissue Segmentation Across the Human Lifespan via Supervised Contrastive Learning. CoRR abs/2301.01369 (2023) - [i25]Yilin Liu, Jiang Li, Yunkui Pang, Dong Nie, Pew-Thian Yap:
The Devil is in the Upsampling: Architectural Decisions Made Simpler for Denoising with Deep Image Prior. CoRR abs/2304.11409 (2023) - [i24]Qianqian Wang, Wei Wang, Yuqi Fang, Pew-Thian Yap, Hongtu Zhu, Hong-Jun Li, Lishan Qiao, Mingxia Liu:
Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI. CoRR abs/2306.14080 (2023) - [i23]Xiaoyang Chen, Junjie Zhao, Siyuan Liu, Sahar Ahmad, Pew-Thian Yap:
Reconstruction of Cortical Surfaces with Spherical Topology from Infant Brain MRI via Recurrent Deformation Learning. CoRR abs/2312.05986 (2023) - [i22]Yilin Liu, Yunkui Pang, Jiang Li, Yong Chen, Pew-Thian Yap:
Towards Architecture-Insensitive Untrained Network Priors for Accelerated MRI Reconstruction. CoRR abs/2312.09988 (2023) - 2022
- [j92]Tiantian Xu, Ye Wu, Yoonmi Hong, Sahar Ahmad, Khoi Minh Huynh, Zhixing Wang, Weili Lin, Wei-Tang Chang, Pew-Thian Yap:
Rapid Diffusion Magnetic Resonance Imaging Using Slice-Interleaved Encoding. Medical Image Anal. 81: 102548 (2022) - [j91]Chiara Maffei, Gabriel Girard, Kurt G. Schilling, Dogu Baran Aydogan, Nagesh Adluru, Andrey Zhylka, Ye Wu, Matteo Mancini, Andac Hamamci, Alessia Sarica, Achille Teillac, Steven H. Baete, Davood Karimi, Fang-Cheng Yeh, Mert E. Yildiz, Ali Gholipour, Yann Bihan-Poudec, Bassem Hiba, Andrea Quattrone, Aldo Quattrone, Tommy Boshkovski, Nikola Stikov, Pew-Thian Yap, Alberto De Luca, Josien P. W. Pluim, Alexander Leemans, Vivek Prabhakaran, Barbara B. Bendlin, Andrew L. Alexander, Bennett A. Landman, Erick Jorge Canales-Rodríguez, Muhamed Barakovic, Jonathan Rafael-Patino, Thomas Yu, Gaëtan Rensonnet, Simona Schiavi, Alessandro Daducci, Marco Pizzolato, Elda Fischi Gomez, Jean-Philippe Thiran, George Dai, Giorgia Grisot, Nikola Lazovski, Santi Puch, Marc Ramos, Paulo Rodrigues, Vesna Prckovska, Robert Jones, Julia Lehman, Suzanne N. Haber, Anastasia Yendiki:
Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI. NeuroImage 257: 119327 (2022) - [j90]Maryam Ghanbari, Zhen Zhou, Li-Ming Hsu, Ying Han, Yu Sun, Pew-Thian Yap, Han Zhang, Dinggang Shen:
Altered Connectedness of the Brain Chronnectome During the Progression to Alzheimer's Disease. Neuroinformatics 20(2): 391-403 (2022) - [j89]Jie Wei, Zhengwang Wu, Li Wang, Toan Duc Bui, Liangqiong Qu, Pew-Thian Yap, Yong Xia, Gang Li, Dinggang Shen:
A cascaded nested network for 3T brain MR image segmentation guided by 7T labeling. Pattern Recognit. 124: 108420 (2022) - [j88]Dongming Wei, Sahar Ahmad, Yuyu Guo, Liyun Chen, Yunzhi Huang, Lei Ma, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Pew-Thian Yap, Dinggang Shen, Qian Wang:
Recurrent Tissue-Aware Network for Deformable Registration of Infant Brain MR Images. IEEE Trans. Medical Imaging 41(5): 1219-1229 (2022) - [j87]Yankun Lang, Chunfeng Lian, Deqiang Xiao, Han Deng, Kim-Han Thung, Peng Yuan, Jaime Gateno, Tianshu Kuang, David M. Alfi, Li Wang, Dinggang Shen, James J. Xia, Pew-Thian Yap:
Localization of Craniomaxillofacial Landmarks on CBCT Images Using 3D Mask R-CNN and Local Dependency Learning. IEEE Trans. Medical Imaging 41(10): 2856-2866 (2022) - [j86]Xu Chen, Tianshu Kuang, Hannah H. Deng, Steve H. Fung, Jaime Gateno, James J. Xia, Pew-Thian Yap:
Dual Adversarial Attention Mechanism for Unsupervised Domain Adaptive Medical Image Segmentation. IEEE Trans. Medical Imaging 41(11): 3445-3453 (2022) - [c132]Geng Chen, Haotian Jiang, Jiannan Liu, Jiquan Ma, Hui Cui, Yong Xia, Pew-Thian Yap:
Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data. MICCAI (1) 2022: 113-122 - [c131]Hao Guan, Siyuan Liu, Weili Lin, Pew-Thian Yap, Mingxia Liu:
Fast Image-Level MRI Harmonization via Spectrum Analysis. MLMI@MICCAI 2022: 201-209 - [c130]Sahar Ahmad, Fang Nan, Ye Wu, Zhengwang Wu, Weili Lin, Li Wang, Gang Li, Di Wu, Pew-Thian Yap:
Harmonization of Multi-site Cortical Data Across the Human Lifespan. MLMI@MICCAI 2022: 220-229 - [c129]Haoran Dou, Luyi Han, Yushuang He, Jun Xu, Nishant Ravikumar, Ritse Mann, Alejandro F. Frangi, Pew-Thian Yap, Yunzhi Huang:
Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework. MICCAI (4) 2022: 258-267 - [c128]Yankun Lang, Xiaoyang Chen, Hannah H. Deng, Tianshu Kuang, Joshua C. Barber, Jaime Gateno, Pew-Thian Yap, James J. Xia:
DentalPointNet: Landmark Localization on High-Resolution 3D Digital Dental Models. MICCAI (2) 2022: 444-452 - [c127]Yunkui Pang, Xu Chen, Yunzhi Huang, Pew-Thian Yap, Jun Lian:
Weakly Supervised MR-TRUS Image Synthesis for Brachytherapy of Prostate Cancer. MICCAI (6) 2022: 485-494 - [d6]Sahar Ahmad, Pew-Thian Yap:
Surface-Volume Atlases of the Infant Brain. Zenodo, 2022
- [i21]Hao Guan, Ling Yue, Pew-Thian Yap, Andrea Bozoki, Mingxia Liu:
Attention-Guided Autoencoder for Automated Progression Prediction of Subjective Cognitive Decline with Structural MRI. CoRR abs/2206.12480 (2022) - [i20]Haoran Dou, Luyi Han, Yushuang He, Jun Xu, Nishant Ravikumar, Ritse Mann, Alejandro F. Frangi, Pew-Thian Yap, Yunzhi Huang:
Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework. CoRR abs/2206.15254 (2022) - [i19]Yunzhi Huang, Sahar Ahmad, Luyi Han, Shuai Wang, Zhengwang Wu, Weili Lin, Gang Li, Li Wang, Pew-Thian Yap:
Longitudinal Prediction of Postnatal Brain Magnetic Resonance Images via a Metamorphic Generative Adversarial Network. CoRR abs/2208.04825 (2022) - 2021
- [j85]Gregory Szalkowski, Dong Nie, Tong Zhu, Pew-Thian Yap, Jun Lian:
Synthetic digital reconstructed radiographs for MR-only robotic stereotactic radiation therapy: A proof of concept. Comput. Biol. Medicine 138: 104917 (2021) - [j84]Yunzhi Huang, Sahar Ahmad, Jingfan Fan, Dinggang Shen, Pew-Thian Yap:
Difficulty-aware hierarchical convolutional neural networks for deformable registration of brain MR images. Medical Image Anal. 67: 101817 (2021) - [j83]Feihong Liu, Jun Feng, Geng Chen, Dinggang Shen, Pew-Thian Yap:
Gaussianization of Diffusion MRI Data Using Spatially Adaptive Filtering. Medical Image Anal. 68: 101828 (2021) - [j82]Yue Zhou, Houjin Chen, Yanfeng Li, Qin Liu, Xuanang Xu, Shu Wang, Pew-Thian Yap, Dinggang Shen:
Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images. Medical Image Anal. 70: 101918 (2021) - [j81]Xu Chen, Chunfeng Lian, Li Wang, Hannah H. Deng, Tianshu Kuang, Steve H. Fung, Jaime Gateno, Dinggang Shen, James J. Xia, Pew-Thian Yap:
Diverse data augmentation for learning image segmentation with cross-modality annotations. Medical Image Anal. 71: 102060 (2021) - [j80]Hao Guan, Yunbi Liu, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu:
Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification. Medical Image Anal. 71: 102076 (2021) - [j79]Xuanang Xu, Chunfeng Lian, Shuai Wang, Tong Zhu, Ronald C. Chen, Andrew Z. Wang, Trevor J. Royce, Pew-Thian Yap, Dinggang Shen, Jun Lian:
Asymmetric multi-task attention network for prostate bed segmentation in computed tomography images. Medical Image Anal. 72: 102116 (2021) - [j78]Siyuan Liu, Kim-Han Thung, Liangqiong Qu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Learning MRI artefact removal with unpaired data. Nat. Mach. Intell. 3(1): 60-67 (2021) - [j77]Siyuan Liu, Kim-Han Thung, Liangqiong Qu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Publisher Correction: Learning MRI artefact removal with unpaired data. Nat. Mach. Intell. 3(2): 181 (2021) - [j76]Deqiang Xiao, Chunfeng Lian, Li Wang, Hannah H. Deng, Hung-Ying Lin, Kim-Han Thung, Jihua Zhu, Peng Yuan, Leonel Perez Jr., Jaime Gateno, Steve Guo-Fang Shen, Pew-Thian Yap, James J. Xia, Dinggang Shen:
Estimating Reference Shape Model for Personalized Surgical Reconstruction of Craniomaxillofacial Defects. IEEE Trans. Biomed. Eng. 68(2): 362-373 (2021) - [j75]Deqiang Xiao, Chunfeng Lian, Han Deng, Tianshu Kuang, Qin Liu, Lei Ma, Daeseung Kim, Yankun Lang, Xu Chen, Jaime Gateno, Steve Guo-Fang Shen, James J. Xia, Pew-Thian Yap:
Estimating Reference Bony Shape Models for Orthognathic Surgical Planning Using 3D Point-Cloud Deep Learning. IEEE J. Biomed. Health Informatics 25(8): 2958-2966 (2021) - [j74]Xu Chen, Chunfeng Lian, Li Wang, Hannah H. Deng, Tianshu Kuang, Steve H. Fung, Jaime Gateno, Pew-Thian Yap, James J. Xia, Dinggang Shen:
Anatomy-Regularized Representation Learning for Cross-Modality Medical Image Segmentation. IEEE Trans. Medical Imaging 40(1): 274-285 (2021) - [j73]Erkun Yang, Mingxia Liu, Dongren Yao, Bing Cao, Chunfeng Lian, Pew-Thian Yap, Dinggang Shen:
Deep Bayesian Hashing With Center Prior for Multi-Modal Neuroimage Retrieval. IEEE Trans. Medical Imaging 40(2): 503-513 (2021) - [j72]Dongren Yao, Jing Sui, Mingliang Wang, Erkun Yang, Yeerfan Jiaerken, Na Luo, Pew-Thian Yap, Mingxia Liu, Dinggang Shen:
A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity. IEEE Trans. Medical Imaging 40(4): 1279-1289 (2021) - [j71]Xiaoyang Chen, Chunfeng Lian, Hannah H. Deng, Tianshu Kuang, Hung-Ying Lin, Deqiang Xiao, Jaime Gateno, Dinggang Shen, James J. Xia, Pew-Thian Yap:
Fast and Accurate Craniomaxillofacial Landmark Detection via 3D Faster R-CNN. IEEE Trans. Medical Imaging 40(12): 3867-3878 (2021) - [c126]Luyi Han, Haoran Dou, Yunzhi Huang, Pew-Thian Yap:
Deformable Registration of Brain MR Images via a Hybrid Loss. MIDOG/MOOD/Learn2Reg@MICCAI 2021: 141-146 - [c125]Yilin Liu, Yong Chen, Pew-Thian Yap:
Real-Time Mapping of Tissue Properties for Magnetic Resonance Fingerprinting. MICCAI (6) 2021: 161-170 - [c124]Khoi Minh Huynh, Wei-Tang Chang, Sang Hun Chung, Yong Chen, Yueh Lee, Pew-Thian Yap:
Noise Mapping and Removal in Complex-Valued Multi-Channel MRI via Optimal Shrinkage of Singular Values. MICCAI (6) 2021: 191-200 - [c123]Siyuan Liu, Kim-Han Thung, Weili Lin, Pew-Thian Yap:
Multi-site Incremental Image Quality Assessment of Structural MRI via Consensus Adversarial Representation Adaptation. MICCAI (7) 2021: 381-389 - [c122]Sahar Ahmad, Ye Wu, Pew-Thian Yap:
Surface-Guided Image Fusion for Preserving Cortical Details in Human Brain Templates. MICCAI (7) 2021: 390-399 - [c121]Lei Ma, Daeseung Kim, Chunfeng Lian, Deqiang Xiao, Tianshu Kuang, Qin Liu, Yankun Lang, Hannah H. Deng, Jaime Gateno, Ye Wu, Erkun Yang, Michael A. K. Liebschner, James J. Xia, Pew-Thian Yap:
Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning. MICCAI (4) 2021: 459-468 - [c120]Ye Wu, Yoonmi Hong, Sahar Ahmad, Pew-Thian Yap:
Active Cortex Tractography. MICCAI (7) 2021: 467-476 - [c119]Deqiang Xiao, Hannah H. Deng, Tianshu Kuang, Lei Ma, Qin Liu, Xu Chen, Chunfeng Lian, Yankun Lang, Daeseung Kim, Jaime Gateno, Steve Guo-Fang Shen, Dinggang Shen, Pew-Thian Yap, James J. Xia:
A Self-supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning. MICCAI (4) 2021: 469-477 - [c118]Ye Wu, Sahar Ahmad, Pew-Thian Yap:
Highly Reproducible Whole Brain Parcellation in Individuals via Voxel Annotation with Fiber Clusters. MICCAI (7) 2021: 477-486 - [c117]Yankun Lang, Hannah H. Deng, Deqiang Xiao, Chunfeng Lian, Tianshu Kuang, Jaime Gateno, Pew-Thian Yap, James J. Xia:
DLLNet: An Attention-Based Deep Learning Method for Dental Landmark Localization on High-Resolution 3D Digital Dental Models. MICCAI (4) 2021: 478-487 - [c116]Qin Liu, Han Deng, Chunfeng Lian, Xiaoyang Chen, Deqiang Xiao, Lei Ma, Xu Chen, Tianshu Kuang, Jaime Gateno, Pew-Thian Yap, James J. Xia:
SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection. MLMI@MICCAI 2021: 606-614 - [c115]Qin Liu, Chunfeng Lian, Deqiang Xiao, Lei Ma, Hannah H. Deng, Xu Chen, Dinggang Shen, Pew-Thian Yap, James J. Xia:
Skull Segmentation from CBCT Images via Voxel-Based Rendering. MLMI@MICCAI 2021: 615-623 - [c114]Yoonmi Hong, Sahar Ahmad, Ye Wu, Siyuan Liu, Pew-Thian Yap:
Vox2Surf: Implicit Surface Reconstruction from Volumetric Data. MLMI@MICCAI 2021: 644-653 - [i18]Yilin Liu, Yong Chen, Pew-Thian Yap:
Real-Time Mapping of Tissue Properties for Magnetic Resonance Fingerprinting. CoRR abs/2107.08120 (2021) - [i17]Deqiang Xiao, Hannah H. Deng, Tianshu Kuang, Lei Ma, Qin Liu, Xu Chen, Chunfeng Lian, Yankun Lang, Daeseung Kim, Jaime Gateno, Steve Guo-Fang Shen, Dinggang Shen, Pew-Thian Yap, James J. Xia:
A Self-Supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning. CoRR abs/2109.05191 (2021) - [i16]Siyuan Liu, Pew-Thian Yap:
Learning Multi-Site Harmonization of Magnetic Resonance Images Without Traveling Human Phantoms. CoRR abs/2110.00041 (2021) - [i15]Qin Liu, Han Deng, Chunfeng Lian, Xiaoyang Chen, Deqiang Xiao, Lei Ma, Xu Chen, Tianshu Kuang, Jaime Gateno, Pew-Thian Yap, James J. Xia:
SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection. CoRR abs/2110.03828 (2021) - [i14]Siyuan Liu, Kim-Han Thung, Liangqiong Qu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Learning MRI Artifact Removal With Unpaired Data. CoRR abs/2110.04604 (2021) - [i13]Shuai Wang, Theodore Yanagihara, Bhishamjit Chera, Colette Shen, Pew-Thian Yap, Jun Lian:
Dual Shape Guided Segmentation Network for Organs-at-Risk in Head and Neck CT Images. CoRR abs/2110.12192 (2021) - [i12]Luyi Han, Haoran Dou, Yunzhi Huang, Pew-Thian Yap:
Deformable Registration of Brain MR Images via a Hybrid Loss. CoRR abs/2110.15027 (2021) - 2020
- [j70]Ye Wu, Yoonmi Hong, Yuanjing Feng, Dinggang Shen, Pew-Thian Yap:
Mitigating gyral bias in cortical tractography via asymmetric fiber orientation distributions. Medical Image Anal. 59 (2020) - [j69]Liangqiong Qu, Yongqin Zhang, Shuai Wang, Pew-Thian Yap, Dinggang Shen:
Synthesized 7T MRI from 3T MRI via deep learning in spatial and wavelet domains. Medical Image Anal. 62: 101663 (2020) - [j68]Dongming Wei, Sahar Ahmad, Jiayu Huo, Pu Huang, Pew-Thian Yap, Zhong Xue, Jianqi Sun, Wentao Li, Dinggang Shen, Qian Wang:
SLIR: Synthesis, localization, inpainting, and registration for image-guided thermal ablation of liver tumors. Medical Image Anal. 65: 101763 (2020) - [j67]Yang Li, Jingyu Liu, Zi-Wen Peng, Can Sheng, Minjeong Kim, Pew-Thian Yap, Chong-Yaw Wee, Dinggang Shen:
Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification. Neuroinformatics 18(1): 1-24 (2020) - [j66]Zhenyu Tang, Xianli Liu, Yang Li, Pew-Thian Yap, Dinggang Shen:
Multi-Atlas Brain Parcellation Using Squeeze-and-Excitation Fully Convolutional Networks. IEEE Trans. Image Process. 29: 6864-6872 (2020) - [j65]Siyuan Liu, Kim-Han Thung, Weili Lin, Pew-Thian Yap, Dinggang Shen:
Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks. IEEE Trans. Image Process. 29: 7697-7706 (2020) - [j64]Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu:
Identifying Autism Spectrum Disorder With Multi-Site fMRI via Low-Rank Domain Adaptation. IEEE Trans. Medical Imaging 39(3): 644-655 (2020) - [j63]Xu Chen, James J. Xia, Dinggang Shen, Chunfeng Lian, Li Wang, Hannah H. Deng, Steve H. Fung, Dong Nie, Kim-Han Thung, Pew-Thian Yap, Jaime Gateno:
One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures. IEEE Trans. Medical Imaging 39(3): 787-796 (2020) - [j62]Chunfeng Lian, Li Wang, Tai-Hsien Wu, Fan Wang, Pew-Thian Yap, Ching-Chang Ko, Dinggang Shen:
Deep Multi-Scale Mesh Feature Learning for Automated Labeling of Raw Dental Surfaces From 3D Intraoral Scanners. IEEE Trans. Medical Imaging 39(7): 2440-2450 (2020) - [j61]Khoi Minh Huynh, Tiantian Xu, Ye Wu, Xifeng Wang, Geng Chen, Haiyong Wu, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Probing Tissue Microarchitecture of the Baby Brain via Spherical Mean Spectrum Imaging. IEEE Trans. Medical Imaging 39(11): 3607-3618 (2020) - [j60]