Benjamin Hou

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 52

Top Topics

Ultrasound Images

Arbitrarily Oriented

Reinforcement Learning Agents

Automatic Segmentation

Top Venues

IEEE Trans. Medical Imaging

DATRA/PIPPI@MICCAI

Publications

Benjamin Hou, Tejas Sudharshan Mathai, Jianfei Liu, Christopher Parnell, Ronald M. Summers
Enhanced Muscle and Fat Segmentation for CT-Based Body Composition Analysis: A Comparative Study. CoRR (2024)
Benjamin Hou, Sung-Won Lee, Jung-Min Lee, Christopher Koh, Jing Xiao, Perry J. Pickhardt, Ronald M. Summers
Deep Learning Segmentation of Ascites on Abdominal CT Scans for Automatic Volume Quantification. CoRR (2024)
Qingqing Zhu, Xiuying Chen, Qiao Jin, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Xin Gao, Ronald M. Summers, Zhiyong Lu
Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports. CoRR (2024)
Yan Zhuang, Tejas Sudharshan Mathai, Pritam Mukherjee, Brandon Khoury, Boah Kim, Benjamin Hou, Nusrat Rabbee, Ronald M. Summers
MRISegmentator-Abdomen: A Fully Automated Multi-Organ and Structure Segmentation Tool for T1-weighted Abdominal MRI. CoRR (2024)
Qingqing Zhu, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Qiao Jin, Xiuying Chen, Zhizheng Wang, Ruida Cheng, Ronald M. Summers, Zhiyong Lu
Decomposing Vision-based LLM Predictions for Auto-Evaluation with GPT-4. CoRR (2024)
Benjamin Hou, Qingqing Zhu, Tejas Sudarshan Mathai, Qiao Jin, Zhiyong Lu, Ronald M. Summers
Shadow and Light: Digitally Reconstructed Radiographs for Disease Classification. CoRR (2024)
Yan Zhuang, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Boah Kim, Ronald M. Summers
Semantic Image Synthesis for Abdominal CT. CoRR (2023)
Yan Zhuang, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Boah Kim, Ronald M. Summers
Semantic Image Synthesis for Abdominal CT. DGM4MICCAI (2023)
Liangchen Liu, Benjamin Hou, Manas Kumar Nag, Jianfei Liu, Navid Hasani, Thomas C. Shen, Yingying Zhu, Babak Saboury, Jing Xiao, Ronald M. Summers
Improving Automatic Segmentation of lymphoma with Additional Medical Knowledge Priors. ISBI (2023)
Xuan Zhao, Benjamin Hou
High-Fidelity Image Synthesis from Pulmonary Nodule Lesion Maps using Semantic Diffusion Model. CoRR (2023)
Benjamin Hou
Domain Agnostic Pipeline for Retina Vessel Segmentation. CoRR (2023)
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
Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. Bildverarbeitung für die Medizin (2023)
Manas Kumar Nag, Jianfei Liu, Seung Yeon Shin, Benjamin Hou, Liangchen Liu, Perry J. Pickhardt, Jung-Min Lee, Ronald M. Summers
Improved ascites segmentation with bladder identification using anatomical location residual U-Net. Medical Imaging: Computer-Aided Diagnosis (2023)
Hannah M. Schlüter, Jeremy Tan, Benjamin Hou, Bernhard Kainz
Natural Synthetic Anomalies for Self-supervised Anomaly Detection and Localization. ECCV (31) (2022)
Luca Schmidtke, Benjamin Hou, Athanasios Vlontzos, Bernhard Kainz
Self-Supervised 3D Human Pose Estimation in Static Video Via Neural Rendering. CoRR (2022)
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
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. IEEE Trans. Medical Imaging 41 (10) (2022)
Luca Schmidtke, Benjamin Hou, Athanasios Vlontzos, Bernhard Kainz
Self-supervised 3D Human Pose Estimation in Static Video via Neural Rendering. ECCV Workshops (3) (2022)
Jeremy Tan, Benjamin Hou, Thomas Day, John M. Simpson, Daniel Rueckert, Bernhard Kainz
Detecting Outliers with Poisson Image Interpolation. CoRR (2021)
Jeremy Tan, Benjamin Hou, Thomas Day, John M. Simpson, Daniel Rueckert, Bernhard Kainz
Detecting Outliers with Poisson Image Interpolation. MICCAI (5) (2021)
Jeremy Tan, Turkay Kart, Benjamin Hou, James Batten, Bernhard Kainz
MetaDetector: Detecting Outliers by Learning to Learn from Self-supervision. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Benjamin Hou, Georgios Kaissis, Ronald M. Summers, Bernhard Kainz
RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting. CoRR (2021)
Hadrien Reynaud, Athanasios Vlontzos, Benjamin Hou, Arian Beqiri, Paul Leeson, Bernhard Kainz
Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation. CoRR (2021)
Benjamin Hou, Georgios Kaissis, Ronald M. Summers, Bernhard Kainz
RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting. MICCAI (7) (2021)
Hannah M. Schlüter, Jeremy Tan, Benjamin Hou, Bernhard Kainz
Self-Supervised Out-of-Distribution Detection and Localization with Natural Synthetic Anomalies (NSA). CoRR (2021)
Hadrien Reynaud, Athanasios Vlontzos, Benjamin Hou, Arian Beqiri, Paul Leeson, Bernhard Kainz
Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation. MICCAI (6) (2021)
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
Introduction to Geometric Learning in Python with Geomstats. SciPy (2020)
Athanasios Vlontzos, Samuel Budd, Benjamin Hou, Daniel Rueckert, Bernhard Kainz
3D Probabilistic Segmentation and Volumetry from 2D projection images. CoRR (2020)
Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz
Detecting Outliers with Foreign Patch Interpolation. CoRR (2020)
Athanasios Vlontzos, Samuel Budd, Benjamin Hou, Daniel Rueckert, Bernhard Kainz
3D Probabilistic Segmentation and Volumetry from 2D Projection Images. TIA@MICCAI (2020)
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
Geomstats: A Python Package for Riemannian Geometry in Machine Learning. CoRR (2020)
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
Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging. IEEE Trans. Medical Imaging 38 (12) (2019)
Benjamin Hou, Athanasios Vlontzos, Amir Alansary, Daniel Rueckert, Bernhard Kainz
Flexible Conditional Image Generation of Missing Data with Learned Mental Maps. MLMIR@MICCAI (2019)
Benjamin Hou, Athanasios Vlontzos, Amir Alansary, Daniel Rueckert, Bernhard Kainz
Flexible Conditional Image Generation of Missing Data with Learned Mental Maps. CoRR (2019)
Huaqi Qiu, Chen Qin, Loïc Le Folgoc, Benjamin Hou, Jo Schlemper, Daniel Rueckert
Deep Learning for Cardiac Motion Estimation: Supervised vs. Unsupervised Training. STACOM@MICCAI (2019)
Amir Alansary, Ozan Oktay, Yuanwei Li, Loïc Le Folgoc, Benjamin Hou, Ghislain Vaillant, Konstantinos Kamnitsas, Athanasios Vlontzos, Ben Glocker, Bernhard Kainz, Daniel Rueckert
Evaluating reinforcement learning agents for anatomical landmark detection. Medical Image Anal. 53 (2019)
Bishesh Khanal, Alberto Gómez, Nicolas Toussaint, Steven G. McDonagh, Veronika A. M. Zimmer, Emily Skelton, Jacqueline Matthew, Daniel Grzech, Robert Wright, Chandni Gupta, Benjamin Hou, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz
EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging Without External Trackers. DATRA/PIPPI@MICCAI (2018)
Yuanwei Li, Bishesh Khanal, Benjamin Hou, Amir Alansary, Juan J. Cerrolaza, Matthew Sinclair, Jacqueline Matthew, Chandni Gupta, Caroline L. Knight, Bernhard Kainz, Daniel Rueckert
Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network. CoRR (2018)
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
EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging without External Trackers. CoRR (2018)
Yuanwei Li, Bishesh Khanal, Benjamin Hou, Amir Alansary, Juan J. Cerrolaza, Matthew Sinclair, Jacqueline Matthew, Chandni Gupta, Caroline L. Knight, Bernhard Kainz, Daniel Rueckert
Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network. MICCAI (1) (2018)
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
Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents. CoRR (2018)
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
Automatic Shadow Detection in 2D Ultrasound Images. DATRA/PIPPI@MICCAI (2018)
Benjamin Hou, Nina Miolane, Bishesh Khanal, Matthew C. H. Lee, Amir Alansary, Steven G. McDonagh, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz
Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry. CoRR (2018)
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
Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents. MICCAI (1) (2018)
Benjamin Hou, Nina Miolane, Bishesh Khanal, Matthew C. H. Lee, Amir Alansary, Steven G. McDonagh, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz
Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry. MICCAI (1) (2018)
Benjamin Hou, Bishesh Khanal, Amir Alansary, Steven G. McDonagh, Alice Davidson, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz
3-D Reconstruction in Canonical Co-Ordinate Space From Arbitrarily Oriented 2-D Images. IEEE Trans. Medical Imaging 37 (8) (2018)
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
Weakly Supervised Estimation of Shadow Confidence Maps in Ultrasound Imaging. CoRR (2018)
Steven G. McDonagh, Benjamin Hou, Amir Alansary, Ozan Oktay, Konstantinos Kamnitsas, Mary A. Rutherford, Joseph V. Hajnal, Bernhard Kainz
Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging. CMMI/RAMBO/SWITCH@MICCAI (2017)
Benjamin Hou, Amir Alansary, Steven G. McDonagh, Daniel Rueckert, Ben Glocker, Bernhard Kainz
Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion. CoRR (2017)
Khalid B. Mirza, Claudio Zuliani, Benjamin Hou, Fu Siong Ng, Nicholas S. Peters, Christofer Toumazou
Injection moulded microneedle sensor for real-time wireless pH monitoring. EMBC (2017)
Benjamin Hou, Amir Alansary, Steven G. McDonagh, Alice Davidson, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz
Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion. MICCAI (2) (2017)
Steven G. McDonagh, Benjamin Hou, Konstantinos Kamnitsas, Ozan Oktay, Amir Alansary, Mary A. Rutherford, Joseph V. Hajnal, Bernhard Kainz
Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging. CoRR (2017)
Benjamin Hou, Bishesh Khanal, Amir Alansary, Steven G. McDonagh, Alice Davidson, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz
3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images. CoRR (2017)