Benjamin Hou

63 papers Journal 39Unranked 23
YearRankTypeTitle / Venue / Authors
2026 J jnl
CT-Bench: A Benchmark for Multimodal Lesion Understanding in Computed Tomography.
CoRR
Qingqing Zhu, Qiao Jin, Tejas Sudharshan Mathai, Yin Fang, Zhizheng Wang, Yifan Yang, Maame Sarfo-Gyamfi, Benjamin Hou, Ran Gu, Praveen Thoppey Srinivasan Balamuralikrishna, Kenneth C. Wang, Ronald M. Summers, Zhiyong Lu
2026 — ed.
Learning with Longitudinal Medical Images and Data - First International Workshop, LMID 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings
LMID@MICCAI
Benjamin Hou, Tejas Sudharshan Mathai
2025 J jnl
Efficient 2D CT Foundation Model for Contrast Phase Classification.
CoRR
Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Xinya Wang, Ronald M. Summers, Zhiyong Lu
2025 J jnl
How well do multimodal LLMs interpret CT scans? An auto-evaluation framework for analyses.
J. Biomed. Informatics
Qingqing Zhu, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Qiao Jin, Xiuying Chen, Zhizheng Wang, Ruida Cheng, Ronald M. Summers, Zhiyong Lu
2025 J jnl
Longitudinal Assessment of Lung Lesion Burden in CT.
CoRR
Tejas Sudharshan Mathai, Benjamin Hou, Ronald M. Summers
2025 J jnl
Text Embedded Swin-UMamba for DeepLesion Segmentation.
CoRR
Ruida Cheng, Tejas Sudharshan Mathai, Pritam Mukherjee, Benjamin Hou, Qingqing Zhu, Zhiyong Lu, Matthew J. McAuliffe, Ronald M. Summers
2024 J jnl
Beyond Multiple-Choice Accuracy: Real-World Challenges of Implementing Large Language Models in Healthcare.
CoRR
Yifan Yang, Qiao Jin, Qingqing Zhu, Zhizheng Wang, Francisco Erramuspe Álvarez, Nicholas Wan, Benjamin Hou, Zhiyong Lu
2024 J jnl
Decomposing Vision-based LLM Predictions for Auto-Evaluation with GPT-4.
CoRR
Qingqing Zhu, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Qiao Jin, Xiuying Chen, Zhizheng Wang, Ruida Cheng, Ronald M. Summers, Zhiyong Lu
2024 J jnl
Deep Learning Segmentation of Ascites on Abdominal CT Scans for Automatic Volume Quantification.
CoRR
Benjamin Hou, Sung-Won Lee, Jung-Min Lee, Christopher Koh, Jing Xiao, Perry J. Pickhardt, Ronald M. Summers
2024 J jnl
Demystifying Large Language Models for Medicine: A Primer.
CoRR
Qiao Jin, Nicholas Wan, Robert Leaman, Shubo Tian, Zhizheng Wang, Yifan Yang, Zifeng Wang, Guangzhi Xiong, Po-Ting Lai, Qingqing Zhu, Benjamin Hou, Maame Sarfo-Gyamfi, Gongbo Zhang, Aidan Gilson, Balu Bhasuran, Zhe He, Aidong Zhang, Jimeng Sun, Chunhua Weng, Ronald M. Summers, Qingyu Chen, Yifan Peng, Zhiyong Lu
2024 J jnl
Enhanced Muscle and Fat Segmentation for CT-Based Body Composition Analysis: A Comparative Study.
CoRR
Benjamin Hou, Tejas Sudharshan Mathai, Jianfei Liu, Christopher Parnell, Ronald M. Summers
2024 J jnl
Enhanced muscle and fat segmentation for CT-based body composition analysis: a comparative study.
Int. J. Comput. Assist. Radiol. Surg.
Benjamin Hou, Tejas Sudharshan Mathai, Jianfei Liu, Christopher Parnell, Ronald M. Summers
2024 — conf
Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for AI-generated Radiology Reports.
ICHI
Qingqing Zhu, Xiuying Chen, Qiao Jin, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Xin Gao, Ronald M. Summers, Zhiyong Lu
2024 J jnl
Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports.
CoRR
Qingqing Zhu, Xiuying Chen, Qiao Jin, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Xin Gao, Ronald M. Summers, Zhiyong Lu
2024 J jnl
MRISegmentator-Abdomen: A Fully Automated Multi-Organ and Structure Segmentation Tool for T1-weighted Abdominal MRI.
CoRR
Yan Zhuang, Tejas Sudharshan Mathai, Pritam Mukherjee, Brandon Khoury, Boah Kim, Benjamin Hou, Nusrat Rabbee, Ronald M. Summers
2024 J jnl
Shadow and Light: Digitally Reconstructed Radiographs for Disease Classification.
CoRR
Benjamin Hou, Qingqing Zhu, Tejas Sudharshan Mathai, Qiao Jin, Zhiyong Lu, Ronald M. Summers
2024 J jnl
Towards Accountable AI-Assisted Eye Disease Diagnosis: Workflow Design, External Validation, and Continual Learning.
CoRR
Qingyu Chen, Tiarnan D. L. Keenan, Elvira Agrón, Alexis Allot, Emily Guan, Bryant Duong, Amr S. Elsawy, Benjamin Hou, Cancan Xue, Sanjeeb Bhandari, Geoff Broadhead, Chantal Cousineau-Krieger, Ellen Davis, William G. Gensheimer, David Grasic, Seema Gupta, Luis Haddock, Eleni Konstantinou, Tania Lamba, Michele Maiberger, Dimosthenis Mantopoulos, Mitul C. Mehta, Ayman G. Nahri, Mutaz AL-Nawaflh, Arnold Oshinsky, Brittany E. Powell, Boonkit Purt, Soo Shin, Hillary Stiefel, Alisa T. Thavikulwat, Keith Wroblewski, Tham Yih Chung, Chui Ming Gemmy Cheung, Ching-Yu Cheng, Emily Y. Chew, Michelle R. Hribar, Michael F. Chiang, Zhiyong Lu
2023 — conf
Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images.
Bildverarbeitung für die Medizin
David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein
2023 J jnl
Domain Agnostic Pipeline for Retina Vessel Segmentation.
CoRR
Benjamin Hou
2023 J jnl
High-Fidelity Image Synthesis from Pulmonary Nodule Lesion Maps using Semantic Diffusion Model.
CoRR
Xuan Zhao, Benjamin Hou
2023 — conf
Improved ascites segmentation with bladder identification using anatomical location residual U-Net.
Computer-Aided Diagnosis
Manas Kumar Nag, Jianfei Liu, Seung Yeon Shin, Benjamin Hou, Liangchen Liu, Perry J. Pickhardt, Jung-Min Lee, Ronald M. Summers
2023 — conf
Improving Automatic Segmentation of lymphoma with Additional Medical Knowledge Priors.
ISBI
Liangchen Liu, Benjamin Hou, Manas Kumar Nag, Jianfei Liu, Navid Hasani, Thomas C. Shen, Yingying Zhu, Babak Saboury, Jing Xiao, Ronald M. Summers
2023 — conf
Semantic Image Synthesis for Abdominal CT.
DGM4MICCAI
Yan Zhuang, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Boah Kim, Ronald M. Summers
2023 J jnl
Semantic Image Synthesis for Abdominal CT.
CoRR
Yan Zhuang, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Boah Kim, Ronald M. Summers
2022 J jnl
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images.
IEEE Trans. Medical Imaging
David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein
2022 — conf
Natural Synthetic Anomalies for Self-supervised Anomaly Detection and Localization.
ECCV (31)
Hannah M. Schlüter, Jeremy Tan, Benjamin Hou, Bernhard Kainz
2022 J jnl
Self-Supervised 3D Human Pose Estimation in Static Video Via Neural Rendering.
CoRR
Luca Schmidtke, Benjamin Hou, Athanasios Vlontzos, Bernhard Kainz
2022 — conf
Self-supervised 3D Human Pose Estimation in Static Video via Neural Rendering.
ECCV Workshops (3)
Luca Schmidtke, Benjamin Hou, Athanasios Vlontzos, Bernhard Kainz
2021 — conf
Detecting Outliers with Poisson Image Interpolation.
MICCAI (5)
Jeremy Tan, Benjamin Hou, Thomas G. Day, John M. Simpson, Daniel Rueckert, Bernhard Kainz
2021 J jnl
Detecting Outliers with Poisson Image Interpolation.
CoRR
Jeremy Tan, Benjamin Hou, Thomas G. Day, John M. Simpson, Daniel Rueckert, Bernhard Kainz
2021 — conf
MetaDetector: Detecting Outliers by Learning to Learn from Self-supervision.
MIDOG/MOOD/Learn2Reg@MICCAI
Jeremy Tan, Turkay Kart, Benjamin Hou, James Batten, Bernhard Kainz
2021 — conf
RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting.
MICCAI (7)
Benjamin Hou, Georgios Kaissis, Ronald M. Summers, Bernhard Kainz
2021 J jnl
RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting.
CoRR
Benjamin Hou, Georgios Kaissis, Ronald M. Summers, Bernhard Kainz
2021 J jnl
Self-Supervised Out-of-Distribution Detection and Localization with Natural Synthetic Anomalies (NSA).
CoRR
Hannah M. Schlüter, Jeremy Tan, Benjamin Hou, Bernhard Kainz
2021 — conf
Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation.
MICCAI (6)
Hadrien Reynaud, Athanasios Vlontzos, Benjamin Hou, Arian Beqiri, Paul Leeson, Bernhard Kainz
2021 J jnl
Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation.
CoRR
Hadrien Reynaud, Athanasios Vlontzos, Benjamin Hou, Arian Beqiri, Paul Leeson, Bernhard Kainz
2020 — conf
3D Probabilistic Segmentation and Volumetry from 2D Projection Images.
TIA@MICCAI
Athanasios Vlontzos, Samuel Budd, Benjamin Hou, Daniel Rueckert, Bernhard Kainz
2020 J jnl
3D Probabilistic Segmentation and Volumetry from 2D projection images.
CoRR
Athanasios Vlontzos, Samuel Budd, Benjamin Hou, Daniel Rueckert, Bernhard Kainz
2020 J jnl
Detecting Outliers with Foreign Patch Interpolation.
CoRR
Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz
2020 J jnl
Geomstats: A Python Package for Riemannian Geometry in Machine Learning.
CoRR
Nina Miolane, Alice Le Brigant, Johan Mathe, Benjamin Hou, Nicolas Guigui, Yann Thanwerdas, Stefan Heyder, Olivier Peltre, Niklas Koep, Hadi Zaatiti, Hatem Hajri, Yann Cabanes, Thomas Gerald, Paul Chauchat, Christian Shewmake, Bernhard Kainz, Claire Donnat, Susan P. Holmes, Xavier Pennec
2020 — conf
Introduction to Geometric Learning in Python with Geomstats.
SciPy
Nina Miolane, Nicolas Guigui, Hadi Zaatiti, Christian Shewmake, Hatem Hajri, Daniel Brooks, Alice Le Brigant, Johan Mathe, Benjamin Hou, Yann Thanwerdas, Stefan Heyder, Olivier Peltre, Niklas Koep, Yann Cabanes, Thomas Gerald, Paul Chauchat, Bernhard Kainz, Claire Donnat, Susan P. Holmes, Xavier Pennec
2019 — conf
Deep Learning for Cardiac Motion Estimation: Supervised vs. Unsupervised Training.
STACOM@MICCAI
Huaqi Qiu, Chen Qin, Loïc Le Folgoc, Benjamin Hou, Jo Schlemper, Daniel Rueckert
2019 J jnl
Evaluating reinforcement learning agents for anatomical landmark detection.
Medical Image Anal.
Amir Alansary, Ozan Oktay, Yuanwei Li, Loïc Le Folgoc, Benjamin Hou, Ghislain Vaillant, Konstantinos Kamnitsas, Athanasios Vlontzos, Ben Glocker, Bernhard Kainz, Daniel Rueckert
2019 — conf
Flexible Conditional Image Generation of Missing Data with Learned Mental Maps.
MLMIR@MICCAI
Benjamin Hou, Athanasios Vlontzos, Amir Alansary, Daniel Rueckert, Bernhard Kainz
2019 J jnl
Flexible Conditional Image Generation of Missing Data with Learned Mental Maps.
CoRR
Benjamin Hou, Athanasios Vlontzos, Amir Alansary, Daniel Rueckert, Bernhard Kainz
2019 J jnl
Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging.
IEEE Trans. Medical Imaging
Qingjie Meng, James Housden, Jacqueline Matthew, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz, Matthew Sinclair, Veronika A. Zimmer, Benjamin Hou, Martin Rajchl, Nicolas Toussaint, Ozan Oktay, Jo Schlemper, Alberto Gómez
2018 J jnl
3-D Reconstruction in Canonical Co-Ordinate Space From Arbitrarily Oriented 2-D Images.
IEEE Trans. Medical Imaging
Benjamin Hou, Bishesh Khanal, Amir Alansary, Steven McDonagh, Alice Davidson, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz
2018 — conf
Automatic Shadow Detection in 2D Ultrasound Images.
DATRA/PIPPI@MICCAI
Qingjie Meng, Christian F. Baumgartner, Matthew Sinclair, James Housden, Martin Rajchl, Alberto Gómez, Benjamin Hou, Nicolas Toussaint, Veronika A. M. Zimmer, Jeremy Tan, Jacqueline Matthew, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz
2018 — conf
Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents.
MICCAI (1)
Amir Alansary, Loïc Le Folgoc, Ghislain Vaillant, Ozan Oktay, Yuanwei Li, Wenjia Bai, Jonathan Passerat-Palmbach, Ricardo Guerrero, Konstantinos Kamnitsas, Benjamin Hou, Steven McDonagh, Ben Glocker, Bernhard Kainz, Daniel Rueckert
2018 J jnl
Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents.
CoRR
Amir Alansary, Loïc Le Folgoc, Ghislain Vaillant, Ozan Oktay, Yuanwei Li, Wenjia Bai, Jonathan Passerat-Palmbach, Ricardo Guerrero, Konstantinos Kamnitsas, Benjamin Hou, Steven G. McDonagh, Ben Glocker, Bernhard Kainz, Daniel Rueckert
2018 — conf
Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry.
MICCAI (1)
Benjamin Hou, Nina Miolane, Bishesh Khanal, Matthew C. H. Lee, Amir Alansary, Steven McDonagh, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz
2018 J jnl
Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry.
CoRR
Benjamin Hou, Nina Miolane, Bishesh Khanal, Matthew C. H. Lee, Amir Alansary, Steven G. McDonagh, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz
2018 — conf
EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging Without External Trackers.
DATRA/PIPPI@MICCAI
Bishesh Khanal, Alberto Gómez, Nicolas Toussaint, Steven McDonagh, Veronika A. M. Zimmer, Emily Skelton, Jacqueline Matthew, Daniel Grzech, Robert Wright, Chandni Gupta, Benjamin Hou, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz
2018 J jnl
EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging without External Trackers.
CoRR
Bishesh Khanal, Alberto Gómez, Nicolas Toussaint, Steven G. McDonagh, Veronika A. Zimmer, Emily Skelton, Jacqueline Matthew, Daniel Grzech, Robert Wright, Chandni Gupta, Benjamin Hou, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz
2018 — conf
Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network.
MICCAI (1)
Yuanwei Li, Bishesh Khanal, Benjamin Hou, Amir Alansary, Juan J. Cerrolaza, Matthew Sinclair, Jacqueline Matthew, Chandni Gupta, Caroline L. Knight, Bernhard Kainz, Daniel Rueckert
2018 J jnl
Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network.
CoRR
Yuanwei Li, Bishesh Khanal, Benjamin Hou, Amir Alansary, Juan J. Cerrolaza, Matthew Sinclair, Jacqueline Matthew, Chandni Gupta, Caroline L. Knight, Bernhard Kainz, Daniel Rueckert
2018 J jnl
Weakly Supervised Estimation of Shadow Confidence Maps in Ultrasound Imaging.
CoRR
Qingjie Meng, Matthew Sinclair, Veronika A. M. Zimmer, Benjamin Hou, Martin Rajchl, Nicolas Toussaint, Alberto Gómez, James Housden, Jacqueline Matthew, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz
2017 J jnl
3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images.
CoRR
Benjamin Hou, Bishesh Khanal, Amir Alansary, Steven G. McDonagh, Alice Davidson, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz
2017 — conf
Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging.
CMMI/RAMBO/SWITCH@MICCAI
Steven McDonagh, Benjamin Hou, Amir Alansary, Ozan Oktay, Konstantinos Kamnitsas, Mary A. Rutherford, Joseph V. Hajnal, Bernhard Kainz
2017 J jnl
Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging.
CoRR
Steven G. McDonagh, Benjamin Hou, Konstantinos Kamnitsas, Ozan Oktay, Amir Alansary, Mary A. Rutherford, Joseph V. Hajnal, Bernhard Kainz
2017 — conf
Injection moulded microneedle sensor for real-time wireless pH monitoring.
EMBC
Khalid B. Mirza, Claudio Zuliani, Benjamin Hou, Fu Siong Ng, Nicholas S. Peters, Christofer Toumazou
2017 — conf
Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion.
MICCAI (2)
Benjamin Hou, Amir Alansary, Steven McDonagh, Alice Davidson, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz
2017 J jnl
Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion.
CoRR
Benjamin Hou, Amir Alansary, Steven G. McDonagh, Daniel Rueckert, Ben Glocker, Bernhard Kainz