Jintao Ren

According to our database, Jintao Ren authored at least 12 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Caitlyn Heqi Yin, Pohsun Feng, Yizhu Wen, Tianyang Wang, Ming Li, Jintao Ren, Qian Niu, Silin Chen, Ming Liu

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, Caitlyn Heqi Yin, Pohsun Feng, Yizhu Wen, Tianyang Wang, Ming Li, Jintao Ren, Qian Niu, Ming Liu

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, Caitlyn Heqi Yin, Pohsun Feng, Yizhu Wen, Tianyang Wang, Silin Chen, Ming Li, Jiawei Xu, Ming Liu

CoRR, 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

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

Sine Wave Normalization for Deep Learning-Based Tumor Segmentation in CT/PET Imaging.

Jintao Ren, Muheng Li, Stine Sofia Korreman

CoRR, 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

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

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021

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

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021

2019

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

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

2011

Multi-class learning with specific features for pairwise classes.

Jianjun Yan, Qingwei Shen, Chiheng Zhou, Jintao Ren, Rui Guo

Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

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, Haixia Yan

Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011