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2020 – today
- 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
- [j12]Yunzhi Huang, Luyi Han, Haoran Dou, Sahar Ahmad, Pew-Thian Yap:
Symmetric deformable registration of multimodal brain magnetic resonance images via appearance residuals. Comput. Methods Programs Biomed. 261: 108578 (2025) - [j11]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) - [j10]Yunzhi Huang, Luyi Han, Haoran Dou:
Generative feature style augmentation for domain generalization in medical image segmentation. Pattern Recognit. 162: 111416 (2025) - [j9]Zhuoneng Zhang, Luyi Han, Tianyu Zhang, Zehui Lin, Qinquan Gao, Tong Tong, Yue Sun, Tao Tan:
UniMRISegNet: Universal 3D Network for Various Organs and Cancers Segmentation on Multi-Sequence MRI. IEEE J. Biomed. Health Informatics 29(12): 8988-9000 (2025) - [j8]Yuan Gao, Tao Tan, Xin Wang, Regina Beets-Tan, Tianyu Zhang, Luyi Han, Antonio Portaluri, Chunyao Lu, Xinglong Liang, Jonas Teuwen, Hong-Yu Zhou, Ritse Mann:
Multi-Modal Longitudinal Representation Learning for Predicting Neoadjuvant Therapy Response in Breast Cancer Treatment. IEEE J. Biomed. Health Informatics 29(12): 9041-9050 (2025) - [c17]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 - [c16]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 - [c15]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 - [c14]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 - [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] - [i21]Navodini Wijethilake, Reuben Dorent, Marina Ivory, Aaron Kujawa, Stefan Cornelissen, Patrick Langenhuizen, Mohamed Okasha, Anna Oviedova, Hexin Dong, Bogyeong Kang, Guillaume Sallé, Luyi Han, Ziyuan Zhao, Han Liu, Tao Yang, Shahad Hardan, Hussain Alasmawi, Santosh Sanjeev, Yuzhou Zhuang, Satoshi Kondo, Maria G. Baldeon Calisto, Shaikh Muhammad Uzair Noman, Cancan Chen, Ipek Oguz, Rongguo Zhang, Mina Rezaei, Susana K. Lai-Yuen, Satoshi Kasai, Chih-Cheng Hung, Mohammad Yaqub, Lisheng Wang, Benoit M. Dawant, Cuntai Guan, Ritse Mann, Vincent Jaouen, Ji-Wung Han, Li Zhang, Jonathan Shapey, Tom Vercauteren:
crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023. CoRR abs/2506.12006 (2025) - [i20]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) - [i19]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) - [i18]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) - [i17]Zehui Lin, Luyi Han, Xin Wang, Ying Zhou, Yanning Zhang, Tianyu Zhang, Lingyun Bao, Shandong Wu, Dong Xu, Tao Tan, UUSIC25 Challenge Consortium:
Diagnostic Performance of Universal-Learning Ultrasound AI Across Multiple Organs and Tasks: the UUSIC25 Challenge. CoRR abs/2512.17279 (2025) - 2024
- [j7]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) - [j6]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) - [c13]Jarek van Dijk, Luyi Han, Luuk Balkenende, Nika Rasoolzadeh, Karine R. Morche, Tianyu Zhang, Ritse M. Mann:
One for All: UNET Training on Single-Sequence Masks for Multi-sequence Breast MRI Segmentation. Deep-Breath@MICCAI 2024: 32-41 - [c12]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 - [c11]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 - [c10]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 - [i16]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) - [i15]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) - [i14]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) - 2023
- [j5]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) - [j4]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) - [j3]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) - [c9]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 - [c8]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 - [c7]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 - [c6]Luyi Han, Tao Tan, Ritse Mann:
Fine-Grained Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation. BraTS/CrossMoDA@MICCAI 2023: 364-371 - [c5]Haoran Dou, Ning Bi, Luyi Han, Yuhao Huang, Ritse Mann, Xin Yang, Dong Ni, Nishant Ravikumar, Alejandro F. Frangi, Yunzhi Huang:
GSMorph: Gradient Surgery for Cine-MRI Cardiac Deformable Registration. MICCAI (10) 2023: 613-622 - [i13]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) - [i12]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) - [i11]Haoran Dou, Ning Bi, Luyi Han, Yuhao Huang, Ritse Mann, Xin Yang, Dong Ni, Nishant Ravikumar, Alejandro F. Frangi, Yunzhi Huang:
GSMorph: Gradient Surgery for cine-MRI Cardiac Deformable Registration. CoRR abs/2306.14687 (2023) - [i10]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) - [i9]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) - [i8]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) - [i7]Luyi Han, Tao Tan, Ritse Mann:
Fine-Grained Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation. CoRR abs/2311.15090 (2023) - 2022
- [j2]Luyi Han, Yuanyuan Lyu, Cheng Peng, S. Kevin Zhou:
GAN-based disentanglement learning for chest X-ray rib suppression. Medical Image Anal. 77: 102369 (2022) - [c4]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 - [c3]Marco Caballo, Wendelien B. G. Sanderink, Luyi Han, Yuan Gao, Alexandra Athanasiou, Ritse M. Mann:
4D radiomics in dynamic contrast-enhanced MRI: prediction of pathological complete response and systemic recurrence in triple-negative breast cancer. Computer-Aided Diagnosis 2022 - [c2]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 - [i6]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) - [i5]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) - [i4]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
- [c1]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 - [i3]Luyi Han, Yuanyuan Lyu, Cheng Peng, S. Kevin Zhou:
GAN-based disentanglement learning for chest X-ray rib suppression. CoRR abs/2110.09134 (2021) - [i2]Luyi Han, Haoran Dou, Yunzhi Huang, Pew-Thian Yap:
Deformable Registration of Brain MR Images via a Hybrid Loss. CoRR abs/2110.15027 (2021) - [i1]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, 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, Huaqi Qiu, Zeju Li, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, 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. CoRR abs/2112.04489 (2021) - 2020
- [j1]Luyi Han, Yunzhi Huang, Haoran Dou, Shuai Wang, Sahar Ahamad, Honghao Luo, Qi Liu, Jingfan Fan, Jiang Zhang:
Semi-supervised segmentation of lesion from breast ultrasound images with attentional generative adversarial network. Comput. Methods Programs Biomed. 189: 105275 (2020)
Coauthor Index
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