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Benjamin Hou

Showing results (11-20 of 30) with videos related to

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Arxiv|October 1, 2025
Beyond Multiple-Choice Accuracy: Real-World Challenges of Implementing Large Language Models in HealthcareYifan Yang, Qiao Jin, Qingqing Zhu, et al.
Arxiv|October 14, 2024
Deep Learning Segmentation of Ascites on Abdominal CT Scans for Automatic Volume QuantificationBenjamin Hou, Sung-Won Lee, Jung-Min Lee, et al.
Arxiv|October 1, 2025
Text Embedded Swin-UMamba for DeepLesion SegmentationRuida Cheng, Tejas Sudharshan Mathai, Pritam Mukherjee, et al.
Arxiv|July 2, 2026
Toward Multimodal Conversational AI for Age-Related Macular DegenerationRan Gu, Benjamin Hou, Mélanie Hébert, et al.
Radiology|April 22, 2025
MRISegmenter: A Fully Accurate and Robust Automated Multiorgan and Structure Segmentation Tool for T1-weighted Abdominal MRIYan Zhuang, Tejas Sudharshan Mathai, Pritam Mukherjee, et al.
Arxiv|June 21, 2024
MRISegmentator-Abdomen: A Fully Automated Multi-Organ and Structure Segmentation Tool for T1-weighted Abdominal MRIYan Zhuang, Tejas Sudharshan Mathai, Pritam Mukherjee, et al.
Proceedings. IEEE International Conference on Healthcare Informatics|December 18, 2024
Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for AI-generated Radiology ReportsQingqing Zhu, Xiuying Chen, Qiao Jin, et al.
Arxiv|June 21, 2024
Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology ReportsQingqing Zhu, Xiuying Chen, Qiao Jin, et al.
IEEE Transactions on Medical Imaging|July 12, 2018
3-D Reconstruction in Canonical Co-Ordinate Space From Arbitrarily Oriented 2-D ImagesBenjamin Hou, Bishesh Khanal, Amir Alansary, et al.
Journal of Biomedical Informatics|June 27, 2025
How well do multimodal LLMs interpret CT scans? An auto-evaluation framework for analysesQingqing Zhu, Benjamin Hou, Tejas Sudarshan Mathai, et al.
Pageof 3

Showing results (11-20 of 30) with videos related to

Sort By:
Pageof 3
Arxiv|October 1, 2025
Beyond Multiple-Choice Accuracy: Real-World Challenges of Implementing Large Language Models in HealthcareYifan Yang, Qiao Jin, Qingqing Zhu, et al.
Arxiv|October 14, 2024
Deep Learning Segmentation of Ascites on Abdominal CT Scans for Automatic Volume QuantificationBenjamin Hou, Sung-Won Lee, Jung-Min Lee, et al.
Arxiv|October 1, 2025
Text Embedded Swin-UMamba for DeepLesion SegmentationRuida Cheng, Tejas Sudharshan Mathai, Pritam Mukherjee, et al.
Arxiv|July 2, 2026
Toward Multimodal Conversational AI for Age-Related Macular DegenerationRan Gu, Benjamin Hou, Mélanie Hébert, et al.
Radiology|April 22, 2025
MRISegmenter: A Fully Accurate and Robust Automated Multiorgan and Structure Segmentation Tool for T1-weighted Abdominal MRIYan Zhuang, Tejas Sudharshan Mathai, Pritam Mukherjee, et al.
Arxiv|June 21, 2024
MRISegmentator-Abdomen: A Fully Automated Multi-Organ and Structure Segmentation Tool for T1-weighted Abdominal MRIYan Zhuang, Tejas Sudharshan Mathai, Pritam Mukherjee, et al.
Proceedings. IEEE International Conference on Healthcare Informatics|December 18, 2024
Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for AI-generated Radiology ReportsQingqing Zhu, Xiuying Chen, Qiao Jin, et al.
Arxiv|June 21, 2024
Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology ReportsQingqing Zhu, Xiuying Chen, Qiao Jin, et al.
IEEE Transactions on Medical Imaging|July 12, 2018
3-D Reconstruction in Canonical Co-Ordinate Space From Arbitrarily Oriented 2-D ImagesBenjamin Hou, Bishesh Khanal, Amir Alansary, et al.
Journal of Biomedical Informatics|June 27, 2025
How well do multimodal LLMs interpret CT scans? An auto-evaluation framework for analysesQingqing Zhu, Benjamin Hou, Tejas Sudarshan Mathai, et al.
Pageof 3