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2020 – today
- 2024
[i11]Jintao Ren, Mathis Rasmussen, Jasper Nijkamp, Jesper Grau Eriksen, Stine Sofia Korreman
:
Segment anything model for head and neck tumor segmentation with CT, PET and MRI multi-modality images. CoRR abs/2402.17454 (2024)- [i10]Jintao Ren, Muheng Li, Stine Sofia Korreman:
Sine Wave Normalization for Deep Learning-Based Tumor Segmentation in CT/PET Imaging. CoRR abs/2409.13410 (2024) - [i9]Jintao Ren, Kim Hochreuter, Jesper Folsted Kallehauge, Stine Sofia Korreman:
UMambaAdj: Advancing GTV Segmentation for Head and Neck Cancer in MRI-Guided RT with UMamba and nnU-Net ResEnc Planner. CoRR abs/2410.12940 (2024) - [i8]Jintao Ren, Kim Hochreuter, Mathis Rasmussen, Jesper Folsted Kallehauge, Stine Sofia Korreman:
Gradient Map-Assisted Head and Neck Tumor Segmentation: A Pre-RT to Mid-RT Approach in MRI-Guided Radiotherapy. CoRR abs/2410.12941 (2024) - [i7]Jintao Ren, Ziqian Bi, Qian Niu, Junyu Liu, Benji Peng, Sen Zhang, Xuanhe Pan, Jinlang Wang, Keyu Chen, Caitlyn Heqi Yin, Pohsun Feng, Yizhu Wen, Tianyang Wang, Silin Chen, Ming Li, Jiawei Xu, Ming Liu:
Deep Learning and Machine Learning - Object Detection and Semantic Segmentation: From Theory to Applications. CoRR abs/2410.15584 (2024) - [i6]Silin Chen, Ziqian Bi, Junyu Liu, Benji Peng, Sen Zhang, Xuanhe Pan, Jiawei Xu, Jinlang Wang, Keyu Chen, Caitlyn Heqi Yin, Pohsun Feng, Yizhu Wen, Tianyang Wang, Ming Li, Jintao Ren, Qian Niu, Ming Liu:
Deep Learning and Machine Learning - Python Data Structures and Mathematics Fundamental: From Theory to Practice. CoRR abs/2410.19849 (2024) - [i5]Weiche Hsieh, Ziqian Bi, Junyu Liu, Benji Peng, Sen Zhang, Xuanhe Pan, Jiawei Xu, Jinlang Wang, Keyu Chen, Caitlyn Heqi Yin, Pohsun Feng, Yizhu Wen, Tianyang Wang, Ming Li, Jintao Ren, Qian Niu, Silin Chen, Ming Liu:
Deep Learning, Machine Learning - Digital Signal and Image Processing: From Theory to Application. CoRR abs/2410.20304 (2024) - [i4]Keyu Chen, Cheng Fei, Ziqian Bi, Junyu Liu, Benji Peng, Sen Zhang, Xuanhe Pan, Jiawei Xu, Jinlang Wang, Caitlyn Heqi Yin, Yichao Zhang, Pohsun Feng, Yizhu Wen, Tianyang Wang, Ming Li, Jintao Ren, Qian Niu, Silin Chen, Weiche Hsieh, Lawrence KQ Yan, Chia Xin Liang, Han Xu, Hong-Ming Tseng, Xinyuan Song, Ming Liu:
Deep Learning and Machine Learning - Natural Language Processing: From Theory to Application. CoRR abs/2411.05026 (2024) - [i3]Weiche Hsieh, Ziqian Bi, Chuanqi Jiang, Junyu Liu, Benji Peng, Sen Zhang, Xuanhe Pan, Jiawei Xu, Jinlang Wang, Keyu Chen, Pohsun Feng, Yizhu Wen, Xinyuan Song, Tianyang Wang, Ming Liu, Junjie Yang, Ming Li, Bowen Jing, Jintao Ren, Junhao Song, Hong-Ming Tseng, Yichao Zhang, Lawrence KQ Yan, Qian Niu, Silin Chen, Yunze Wang, Chia Xin Liang:
A Comprehensive Guide to Explainable AI: From Classical Models to LLMs. CoRR abs/2412.00800 (2024) - [i2]Weiche Hsieh, Ziqian Bi, Keyu Chen, Benji Peng, Sen Zhang, Jiawei Xu, Jinlang Wang, Caitlyn Heqi Yin, Yichao Zhang, Pohsun Feng, Yizhu Wen, Tianyang Wang, Ming Li, Chia Xin Liang, Jintao Ren, Qian Niu, Silin Chen, Lawrence KQ Yan, Han Xu, Hong-Ming Tseng, Xinyuan Song, Bowen Jing, Junjie Yang, Junhao Song, Junyu Liu, Ming Liu:
Deep Learning, Machine Learning, Advancing Big Data Analytics and Management. CoRR abs/2412.02187 (2024) - [i1]Tianyang Wang, Ziqian Bi, Yichao Zhang, Ming Liu, Weiche Hsieh, Pohsun Feng, Lawrence KQ Yan, Yizhu Wen, Benji Peng, Junyu Liu, Keyu Chen, Sen Zhang, Ming Li, Chuanqi Jiang, Xinyuan Song, Junjie Yang, Bowen Jing, Jintao Ren, Junhao Song, Hong-Ming Tseng, Silin Chen, Yunze Wang, Chia Xin Liang, Jiawei Xu, Xuanhe Pan, Jinlang Wang, Qian Niu:
Deep Learning Model Security: Threats and Defenses. CoRR abs/2412.08969 (2024) - 2021
- [c5]Jintao Ren, Bao-Ngoc Huynh, Aurora Rosvoll Groendahl, Oliver Tomic, Cecilia Marie Futsaether, Stine Sofia Korreman:
PET Normalizations to Improve Deep Learning Auto-Segmentation of Head and Neck Tumors in 3D PET/CT. HECKTOR@MICCAI 2021: 83-91 - [c4]Bao-Ngoc Huynh, Jintao Ren, Aurora Rosvoll Groendahl, Oliver Tomic, Stine Sofia Korreman, Cecilia Marie Futsaether:
Comparing Deep Learning and Conventional Machine Learning for Outcome Prediction of Head and Neck Cancer in PET/CT. HECKTOR@MICCAI 2021: 318-326
2010 – 2019
- 2019
- [c3]Jintao Ren, Arash Moaddel H., Ellen M. Hauge, Kresten K. Keller, Rasmus K. Jensen, François Lauze:
Automatic detection and localization of bone erosion in hand HR-pQCT. Computer-Aided Diagnosis 2019: 1095022 - 2011
- [c2]Jianjun Yan, Qingwei Shen, Jintao Ren, Yiqin Wang, Chunfeng Chen, Rui Guo, Haixia Yan:
A multi-instance multi-label learning approach to objective auscultation analysis of traditional Chinese medicine. BMEI 2011: 1626-1630 - [c1]Jianjun Yan, Qingwei Shen, Chiheng Zhou, Jintao Ren, Rui Guo:
Multi-class learning with specific features for pairwise classes. BMEI 2011: 2054-2057
Coauthor Index
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