SK-Unet: An Improved U-Net Model with Selective Kernel for the Segmentation of Multi-sequence Cardiac MR. - Xiyue Wang; Sen Yang 006; Mingxuan Tang; Yunpeng Wei; Xiao Han 011; Ling He; Jing Zhang 051 (STACOM@MICCAI, 2019)

Automatic Hypernasality Detection in Cleft Palate Speech Using CNN. - Xiyue Wang; Ming Tang; Sen Yang 006; Heng Yin; Hua Huang; Ling He (Circuits Syst. Signal Process., 2019)

HypernasalityNet: Deep recurrent neural network for automatic hypernasality detection. - Xiyue Wang; Sen Yang 006; Ming Tang; Heng Yin; Hua Huang; Ling He (Int. J. Medical Informatics, 2019)

Automatic Glioma Grading Based on Two-Stage Networks by Integrating Pathology and MRI Images. - Xiyue Wang; Sen Yang 006; Xiyi Wu (BrainLes@MICCAI (2), 2020)

Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution. - Yu Zhao 009; Fan Yang 081; Yuqi Fang; Hailing Liu; Niyun Zhou; Jun Zhang 018; Jiarui Sun; Sen Yang 006; Bjoern H. Menze; Xinjuan Fan; Jianhua Yao 001 (CVPR, 2020)

A Hybrid Network for Automatic Myocardial Infarction Segmentation in Delayed Enhancement-MRI. - Sen Yang 006; Xiyue Wang (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

TransPath: Transformer-Based Self-supervised Learning for Histopathological Image Classification. - Xiyue Wang; Sen Yang 006; Jun Zhang 018; Minghui Wang; Jing Zhang 051; Junzhou Huang; Wei Yang 032; Xiao Han 011 (MICCAI (8), 2021)

Sk-Unet Model with Fourier Domain for Mitosis Detection. - Sen Yang 006; Feng Luo; Jun Zhang 018; Xiyue Wang (MIDOG/MOOD/Learn2Reg@MICCAI, 2021)

PAIP 2019: Liver cancer segmentation challenge. - Yoo Jung Kim; Hyungjoon Jang; Kyoungbun Lee; Seongkeun Park; Sung-Gyu Min; Choyeon Hong; Jeong Hwan Park; Kanggeun Lee; Jisoo Kim; Wonjae Hong; Hyun Jung; Yanling Liu; et al. (Medical Image Anal., 2021)

A hybrid network for automatic hepatocellular carcinoma segmentation in H&E-stained whole slide images. - Xiyue Wang; Yuqi Fang; Sen Yang 006; Delong Zhu; Minghui Wang; Jing Zhang 051; Kai-Yu Tong; Xiao Han 011 (Medical Image Anal., 2021)

Node-aligned Graph Convolutional Network for Whole-slide Image Representation and Classification. - Yonghang Guan; Jun Zhang 018; Kuan Tian; Sen Yang 006; Pei Dong; Jinxi Xiang; Wei Yang 032; Junzhou Huang; Yuyao Zhang; Xiao Han 011 (CVPR, 2022)

SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification. - Xiyue Wang; Jinxi Xiang; Jun Zhang 018; Sen Yang 006; Zhongyi Yang; Ming-Hui Wang; Jing Zhang 051; Wei Yang 032; Junzhou Huang; Xiao Han 011 (NeurIPS, 2022)

Automated segmentation of normal and diseased coronary arteries - The ASOCA challenge. - Ramtin Gharleghi; Dona Adikari; Katy Ellenberger; Sze-Yuan Ooi; Chris Ellis; Chung-Ming Chen; Ruochen Gao; Yuting He; Raabid Hussain; Chia-Yen Lee; Jun Li 103; Jun Ma 016; et al. (Comput. Medical Imaging Graph., 2022)

OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines. - Aaron Babier; Rafid Mahmood; Binghao Zhang; Victor Gabriel Leandro Alves; Ana Maria Barragán-Montero; Joel Beaudry; Carlos E. Cardenas S.; Yankui Chang; Zijie Chen; Jaehee Chun; Kelly Diaz; Harold David Eraso; et al. (CoRR, 2022)

Pan-cancer computational histopathology reveals tumor mutational burden status through weakly-supervised deep learning. - Siteng Chen; Jinxi Xiang; Xiyue Wang; Jun Zhang 018; Sen Yang 006; Junzhou Huang; Wei Yang 032; Junhua Zheng; Xiao Han 011 (CoRR, 2022)

Mitosis domain generalization in histopathology images - The MIDOG challenge. - Marc Aubreville; Nikolas Stathonikos; Christof A. Bertram; Robert Klopfleisch; Natalie D. ter Hoeve; Francesco Ciompi; Frauke Wilm; Christian Marzahl; Taryn A. Donovan; Andreas K. Maier; Jack Breen; Nishant Ravikumar; et al. (CoRR, 2022)

Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. - Alain Lalande; Zhihao Chen 005; Thibaut Pommier; Thomas Decourselle; Abdul Qayyum; Michel Salomon; Dominique Ginhac; Youssef Skandarani; Arnaud Boucher; Khawla Brahim; Marleen de Bruijne; Robin Camarasa; et al. (Medical Image Anal., 2022)

Transformer-based unsupervised contrastive learning for histopathological image classification. - Xiyue Wang; Sen Yang 006; Jun Zhang 018; Minghui Wang; Jing Zhang 051; Wei Yang 032; Junzhou Huang; Xiao Han 011 (Medical Image Anal., 2022)

Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. - Xiahai Zhuang; Jiahang Xu; Xinzhe Luo; Chen Chen 042; Cheng Ouyang; Daniel Rueckert; Víctor M. Campello; Karim Lekadir; Sulaiman Vesal; Nishant Ravikumar; Yashu Liu 003; Gongning Luo; et al. (Medical Image Anal., 2022)

Automatic Segmentation of Pneumothorax in Chest Radiographs Based on a Two-Stage Deep Learning Method. - Xiyue Wang; Sen Yang 006; Jun Lan; Yuqi Fang; Jianhui He; Minghui Wang; Jing Zhang 051; Xiao Han 011 (IEEE Trans. Cogn. Dev. Syst., 2022)

Knowledge-Based Representation Learning for Nucleus Instance Classification From Histopathological Images. - Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Xiyue Wang; Wei Yang 032; Junzhou Huang; Wenping Wang; Xiao Han 011 (IEEE Trans. Medical Imaging, 2022)

DeepNoise: Signal and Noise Disentanglement Based on Classifying Fluorescent Microscopy Images via Deep Learning. - Sen Yang 006; Tao Shen; Yuqi Fang; Xiyue Wang; Jun Zhang 018; Wei Yang 032; Junzhou Huang; Xiao Han 011 (Genom. Proteom. Bioinform., 2022)

Why is the Winner the Best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CVPR, 2023)

Automatic diagnosis and grading of Prostate Cancer with weakly supervised learning on whole slide images. - Jinxi Xiang; Xiyue Wang; Xinran Wang; Jun Zhang 018; Sen Yang 006; Wei Yang 032; Xiao Han 011; Yueping Liu (Comput. Biol. Medicine, 2023)

Federated contrastive learning models for prostate cancer diagnosis and Gleason grading. - Fei Kong; Jinxi Xiang; Xiyue Wang; Xinran Wang; Meng Yue; Jun Zhang 018; Sen Yang 006; Junhan Zhao; Xiao Han 011; Yuhan Dong; Yueping Liu (CoRR, 2023)

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. - Simon Graham; Quoc Dang Vu; Mostafa Jahanifar; Martin Weigert 001; Uwe Schmidt; Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Jinxi Xiang; Xiyue Wang; Josef Lorenz Rumberger; Elias Baumann; et al. (CoRR, 2023)

Mitosis domain generalization in histopathology images - The MIDOG challenge. - Marc Aubreville; Nikolas Stathonikos; Christof A. Bertram; Robert Klopfleisch; Natalie D. ter Hoeve; Francesco Ciompi; Frauke Wilm; Christian Marzahl; Taryn A. Donovan; Andreas K. Maier; Jack Breen; Nishant Ravikumar; et al. (Medical Image Anal., 2023)

RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval. - Xiyue Wang; Yuexi Du; Sen Yang 006; Jun Zhang 018; Minghui Wang; Jing Zhang 051; Wei Yang 032; Junzhou Huang; Xiao Han 011 (Medical Image Anal., 2023)

A generalizable and robust deep learning algorithm for mitosis detection in multicenter breast histopathological images. - Xiyue Wang; Jun Zhang 018; Sen Yang 006; Jingxi Xiang; Feng Luo; Minghui Wang; Jing Zhang 051; Wei Yang 032; Junzhou Huang; Xiao Han 011 (Medical Image Anal., 2023)

Merging nucleus datasets by correlation-based cross-training. - Wenhua Zhang; Jun Zhang 018; Xiyue Wang; Sen Yang 006; Junzhou Huang; Wei Yang 032; Wenping Wang; Xiao Han 011 (Medical Image Anal., 2023)

CLC-Net: Contextual and local collaborative network for lesion segmentation in diabetic retinopathy images. - Xiyue Wang; Yuqi Fang; Sen Yang 006; Delong Zhu; Minghui Wang; Jing Zhang 051; Jun Zhang 018; Jun Cheng 003; Kai-Yu Tong; Xiao Han 011 (Neurocomputing, 2023)

PAIP 2020: Microsatellite instability prediction in colorectal cancer. - Kyungmo Kim; Kyoungbun Lee; Sungduk Cho; Dong Un Kang; Seongkeun Park; Yunsook Kang; Hyunjeong Kim; Gheeyoung Choe; Kyung Chul Moon; Kyu Sang Lee; Jeong Hwan Park; Choyeon Hong; et al. (Medical Image Anal., 2023)

Mesoscopic structure graphs for interpreting uncertainty in non-linear embeddings. - Junhan Zhao; Xiang Liu 016; Hongping Tang; Xiyue Wang; Sen Yang 006; Donfang Liu; Yijiang Chen; Yingjie Victor Chen (Comput. Biol. Medicine, 2024)

Artificial Intelligence-Enhanced Couinaud Segmentation for Precision Liver Cancer Therapy. - Liang Qiu; Wenhao Chi; Xiaohan Xing; Praveenbalaji Rajendran; Mingjie Li; Yuming Jiang 006; Oscar Pastor-Serrano; Sen Yang 006; Xiyue Wang; Yuanfeng Ji; Qiang Wen (CoRR, 2024)

Domain generalization across tumor types, laboratories, and species - Insights from the 2022 edition of the Mitosis Domain Generalization Challenge. - Marc Aubreville; Nikolas Stathonikos; Taryn A. Donovan; Robert Klopfleisch; Jonas Ammeling; Jonathan Ganz; Frauke Wilm; Mitko Veta; Samir Jabari; Markus Eckstein; Jonas Annuscheit; Christian Krumnow; et al. (Medical Image Anal., 2024)

CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting. - Simon Graham; Quoc Dang Vu; Mostafa Jahanifar; Martin Weigert 001; Uwe Schmidt; Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Jinxi Xiang; Xiyue Wang; Josef Lorenz Rumberger; Elias Baumann; et al. (Medical Image Anal., 2024)

SAC-Net: Enhancing Spatiotemporal Aggregation in Cervical Histological Image Classification via Label-Efficient Weakly Supervised Learning. - Xiyue Wang; De Cai; Sen Yang 006; Yiming Cui 002; Junyou Zhu; Kanran Wang; Junhan Zhao (IEEE Trans. Circuits Syst. Video Technol., 2024)

HiCervix: An Extensive Hierarchical Dataset and Benchmark for Cervical Cytology Classification. - De Cai; Jie Chen; Junhan Zhao; Yuan Xue 002; Sen Yang 006; Wei Yuan 015; Min Feng; Haiyan Weng; Shuguang Liu; Yulong Peng; Junyou Zhu; Kanran Wang; et al. (IEEE Trans. Medical Imaging, 2024)

Counterfactual Bidirectional Co-Attention Transformer for Integrative Histology-Genomic Cancer Risk Stratification. - Zheyi Ji; Yongxin Ge; Chijioke Chukwudi; Kaicheng U; Sophia Meixuan Zhang; Yulong Peng; Junyou Zhu; Hossam Zaki; Xueling Zhang; Sen Yang 006; Xiyue Wang; Yijiang Chen; et al. (IEEE J. Biomed. Health Informatics, 2025)