A multi-instance multi-label learning approach to objective auscultation analysis of traditional Chinese medicine. - Jianjun Yan; Qingwei Shen; Jintao Ren; Yiqin Wang; Chunfeng Chen; Rui Guo 001; Haixia Yan (BMEI, 2011)

Multi-class learning with specific features for pairwise classes. - Jianjun Yan; Qingwei Shen; Chiheng Zhou; Jintao Ren; Rui Guo 001 (BMEI, 2011)

Automatic detection and localization of bone erosion in hand HR-pQCT. - Jintao Ren; Arash Moaddel H.; Ellen M. Hauge; Kresten K. Keller; Rasmus K. Jensen; François Lauze (Computer-Aided Diagnosis, 2019)

Comparing Deep Learning and Conventional Machine Learning for Outcome Prediction of Head and Neck Cancer in PET/CT. - Bao-Ngoc Huynh; Jintao Ren; Aurora Rosvoll Groendahl; Oliver Tomic; Stine Sofia Korreman; Cecilia Marie Futsaether (HECKTOR@MICCAI, 2021)

PET Normalizations to Improve Deep Learning Auto-Segmentation of Head and Neck Tumors in 3D PET/CT. - Jintao Ren; Bao-Ngoc Huynh; Aurora Rosvoll Groendahl; Oliver Tomic; Cecilia Marie Futsaether; Stine Sofia Korreman (HECKTOR@MICCAI, 2021)

UMamba Adjustment: Advancing GTV Segmentation for Head and Neck Cancer in MRI-Guided RT with UMamba and NnU-Net ResEnc Planner. - Jintao Ren; Kim Hochreuter; Jesper Folsted Kallehauge; Stine Sofia Korreman (HNTS-MRG@MICCAI, 2024)

Gradient Map-Assisted Head and Neck Tumor Segmentation: A Pre-RT to Mid-RT Approach in MRI-Guided Radiotherapy. - Jintao Ren; Kim Hochreuter; Mathis Rasmussen; Jesper Folsted Kallehauge; Stine Sofia Korreman (HNTS-MRG@MICCAI, 2024)

Segment anything model for head and neck tumor segmentation with CT, PET and MRI multi-modality images. - Jintao Ren; Mathis Rasmussen; Jasper Nijkamp; Jesper Grau Eriksen; Stine Sofia Korreman (CoRR, 2024)

Sine Wave Normalization for Deep Learning-Based Tumor Segmentation in CT/PET Imaging. - Jintao Ren; Muheng Li; Stine Sofia Korreman (CoRR, 2024)

UMambaAdj: Advancing GTV Segmentation for Head and Neck Cancer in MRI-Guided RT with UMamba and nnU-Net ResEnc Planner. - Jintao Ren; Kim Hochreuter; Jesper Folsted Kallehauge; Stine Sofia Korreman (CoRR, 2024)

Deep Learning and Machine Learning - Object Detection and Semantic Segmentation: From Theory to Applications. - Jintao Ren; Ziqian Bi; Qian Niu; Junyu Liu; Benji Peng; Sen Zhang; Xuanhe Pan; Jinlang Wang; Keyu Chen 002; Caitlyn Heqi Yin; Pohsun Feng; Yizhu Wen; et al. (CoRR, 2024)

Deep Learning and Machine Learning - Python Data Structures and Mathematics Fundamental: From Theory to Practice. - Silin Chen; Ziqian Bi; Junyu Liu; Benji Peng; Sen Zhang; Xuanhe Pan; Jiawei Xu; Jinlang Wang; Keyu Chen 002; Caitlyn Heqi Yin; Pohsun Feng; Yizhu Wen; et al. (CoRR, 2024)

Deep Learning, Machine Learning - Digital Signal and Image Processing: From Theory to Application. - Weiche Hsieh; Ziqian Bi; Junyu Liu; Benji Peng; Sen Zhang; Xuanhe Pan; Jiawei Xu; Jinlang Wang; Keyu Chen 002; Caitlyn Heqi Yin; Pohsun Feng; Yizhu Wen; et al. (CoRR, 2024)

Deep Learning and Machine Learning - Natural Language Processing: From Theory to Application. - Keyu Chen 002; Cheng Fei; Ziqian Bi; Junyu Liu; Benji Peng; Sen Zhang; Xuanhe Pan; Jiawei Xu; Jinlang Wang; Caitlyn Heqi Yin; Yichao Zhang 002; Pohsun Feng; et al. (CoRR, 2024)

A Comprehensive Guide to Explainable AI: From Classical Models to LLMs. - Weiche Hsieh; Ziqian Bi; Chuanqi Jiang; Junyu Liu; Benji Peng; Sen Zhang; Xuanhe Pan; Jiawei Xu; Jinlang Wang; Keyu Chen 002; Pohsun Feng; Yizhu Wen; et al. (CoRR, 2024)

Deep Learning, Machine Learning, Advancing Big Data Analytics and Management. - Weiche Hsieh; Ziqian Bi; Keyu Chen 002; Benji Peng; Sen Zhang; Jiawei Xu; Jinlang Wang; Caitlyn Heqi Yin; Yichao Zhang 002; Pohsun Feng; Yizhu Wen; Tianyang Wang; et al. (CoRR, 2024)

Deep Learning Model Security: Threats and Defenses. - Tianyang Wang; Ziqian Bi; Yichao Zhang 002; Ming Liu; Weiche Hsieh; Pohsun Feng; Lawrence KQ Yan; Yizhu Wen; Benji Peng; Junyu Liu; Keyu Chen 002; Sen Zhang; et al. (CoRR, 2024)

Generative Adversarial Networks Bridging Art and Machine Intelligence. - Junhao Song; Yichao Zhang 002; Ziqian Bi; Tianyang Wang; Keyu Chen 002; Ming Li 075; Qian Niu; Junyu Liu; Benji Peng; Sen Zhang; Ming Liu; Jiawei Xu; et al. (CoRR, 2025)

Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge. - Muhammad Imran 013; Jonathan R. Krebs; Vishal Balaji Sivaraman; Teng Zhang; Amarjeet Kumar; Walker R. Ueland; Michael J. Fassler; Jinlong Huang; Xiao Sun; Lisheng Wang; Pengcheng Shi; Maximilian Rokuss; et al. (CoRR, 2025)