Injection moulded microneedle sensor for real-time wireless pH monitoring. - Khalid B. Mirza; Claudio Zuliani; Benjamin Hou; Fu Siong Ng; Nicholas S. Peters; Christofer Toumazou (EMBC, 2017)

Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion. - Benjamin Hou; Amir Alansary; Steven McDonagh 001; Alice Davidson; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert; Ben Glocker; Bernhard Kainz (MICCAI (2), 2017)

Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging. - Steven McDonagh 001; Benjamin Hou; Amir Alansary; Ozan Oktay; Konstantinos Kamnitsas; Mary A. Rutherford; Joseph V. Hajnal; Bernhard Kainz (CMMI/RAMBO/SWITCH@MICCAI, 2017)

Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion. - Benjamin Hou; Amir Alansary; Steven G. McDonagh 001; Daniel Rueckert; Ben Glocker; Bernhard Kainz (CoRR, 2017)

3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images. - Benjamin Hou; Bishesh Khanal; Amir Alansary; Steven G. McDonagh 001; Alice Davidson; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert; Ben Glocker; Bernhard Kainz (CoRR, 2017)

Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents. - Amir Alansary; Loïc Le Folgoc; Ghislain Vaillant; Ozan Oktay; Yuanwei Li; Wenjia Bai; Jonathan Passerat-Palmbach; Ricardo Guerrero; Konstantinos Kamnitsas; Benjamin Hou; Steven McDonagh 001; Ben Glocker; et al. (MICCAI (1), 2018)

Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry. - Benjamin Hou; Nina Miolane; Bishesh Khanal; Matthew C. H. Lee; Amir Alansary; Steven McDonagh 001; Joseph V. Hajnal; Daniel Rueckert; Ben Glocker; Bernhard Kainz (MICCAI (1), 2018)

EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging Without External Trackers. - Bishesh Khanal; Alberto Gómez 002; Nicolas Toussaint; Steven McDonagh 001; Veronika A. M. Zimmer; Emily Skelton; Jacqueline Matthew; Daniel Grzech; Robert Wright; Chandni Gupta; Benjamin Hou; Daniel Rueckert; et al. (DATRA/PIPPI@MICCAI, 2018)

Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network. - Yuanwei Li; Bishesh Khanal; Benjamin Hou; Amir Alansary; Juan J. Cerrolaza; Matthew Sinclair; Jacqueline Matthew; Chandni Gupta; Caroline L. Knight; Bernhard Kainz; Daniel Rueckert (MICCAI (1), 2018)

Automatic Shadow Detection in 2D Ultrasound Images. - Qingjie Meng; Christian F. Baumgartner; Matthew Sinclair; James Housden; Martin Rajchl; Alberto Gómez 002; Benjamin Hou; Nicolas Toussaint; Veronika A. M. Zimmer; Jeremy Tan; Jacqueline Matthew; Daniel Rueckert; et al. (DATRA/PIPPI@MICCAI, 2018)

Weakly Supervised Estimation of Shadow Confidence Maps in Ultrasound Imaging. - Qingjie Meng; Matthew Sinclair; Veronika A. M. Zimmer; Benjamin Hou; Martin Rajchl; Nicolas Toussaint; Alberto Gómez 002; James Housden; Jacqueline Matthew; Daniel Rueckert; Julia A. Schnabel; Bernhard Kainz (CoRR, 2018)

3-D Reconstruction in Canonical Co-Ordinate Space From Arbitrarily Oriented 2-D Images. - Benjamin Hou; Bishesh Khanal; Amir Alansary; Steven McDonagh 001; Alice Davidson; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert; Ben Glocker; Bernhard Kainz (IEEE Trans. Medical Imaging, 2018)

Flexible Conditional Image Generation of Missing Data with Learned Mental Maps. - Benjamin Hou; Athanasios Vlontzos; Amir Alansary; Daniel Rueckert; Bernhard Kainz (MLMIR@MICCAI, 2019)

Deep Learning for Cardiac Motion Estimation: Supervised vs. Unsupervised Training. - Huaqi Qiu; Chen Qin; Loïc Le Folgoc; Benjamin Hou; Jo Schlemper; Daniel Rueckert (STACOM@MICCAI, 2019)

Evaluating reinforcement learning agents for anatomical landmark detection. - Amir Alansary; Ozan Oktay; Yuanwei Li; Loïc Le Folgoc; Benjamin Hou; Ghislain Vaillant; Konstantinos Kamnitsas; Athanasios Vlontzos; Ben Glocker; Bernhard Kainz; Daniel Rueckert (Medical Image Anal., 2019)

Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound 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; et al. (IEEE Trans. Medical Imaging, 2019)

3D Probabilistic Segmentation and Volumetry from 2D Projection Images. - Athanasios Vlontzos; Samuel Budd; Benjamin Hou; Daniel Rueckert; Bernhard Kainz (TIA@MICCAI, 2020)

Introduction to Geometric Learning in Python with Geomstats. - 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; et al. (SciPy, 2020)

Geomstats: A Python Package for Riemannian Geometry in Machine Learning. - 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; et al. (CoRR, 2020)

Detecting Outliers with Foreign Patch Interpolation. - Jeremy Tan; Benjamin Hou; James Batten; Huaqi Qiu; Bernhard Kainz (CoRR, 2020)

RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting. - Benjamin Hou; Georgios Kaissis; Ronald M. Summers; Bernhard Kainz (MICCAI (7), 2021)

Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation. - Hadrien Reynaud; Athanasios Vlontzos; Benjamin Hou; Arian Beqiri; Paul Leeson; Bernhard Kainz (MICCAI (6), 2021)

Detecting Outliers with Poisson Image Interpolation. - Jeremy Tan; Benjamin Hou; Thomas G. Day; John M. Simpson; Daniel Rueckert; Bernhard Kainz (MICCAI (5), 2021)

MetaDetector: Detecting Outliers by Learning to Learn from Self-supervision. - Jeremy Tan; Turkay Kart; Benjamin Hou; James Batten; Bernhard Kainz (MIDOG/MOOD/Learn2Reg@MICCAI, 2021)

Self-Supervised Out-of-Distribution Detection and Localization with Natural Synthetic Anomalies (NSA). - Hannah M. Schlüter; Jeremy Tan; Benjamin Hou; Bernhard Kainz (CoRR, 2021)

Natural Synthetic Anomalies for Self-supervised Anomaly Detection and Localization. - Hannah M. Schlüter; Jeremy Tan; Benjamin Hou; Bernhard Kainz (ECCV (31), 2022)

Self-supervised 3D Human Pose Estimation in Static Video via Neural Rendering. - Luca Schmidtke; Benjamin Hou; Athanasios Vlontzos; Bernhard Kainz (ECCV Workshops (3), 2022)

MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. - David Zimmerer; Peter M. Full; Fabian Isensee; Paul Jäger 002; Tim Adler; Jens Petersen; Gregor Köhler; Tobias Roß; Annika Reinke; Antanas Kascenas; Bjørn Sand Jensen; Alison Q. O'Neil; et al. (IEEE Trans. Medical Imaging, 2022)

Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. - David Zimmerer; Peter M. Full; Fabian Isensee; Paul Jäger 002; Tim Adler; Jens Petersen; Gregor Köhler; Tobias Roß; Annika Reinke; Antanas Kascenas; Bjørn Sand Jensen; Alison Q. O'Neil; et al. (Bildverarbeitung für die Medizin, 2023)

Improving Automatic Segmentation of lymphoma with Additional Medical Knowledge Priors. - Liangchen Liu; Benjamin Hou; Manas Kumar Nag; Jianfei Liu; Navid Hasani; Thomas C. Shen; Yingying Zhu 003; Babak Saboury; Jing Xiao 006; Ronald M. Summers (ISBI, 2023)

Improved ascites segmentation with bladder identification using anatomical location residual U-Net. - Manas Kumar Nag; Jianfei Liu; Seung Yeon Shin; Benjamin Hou; Liangchen Liu; Perry J. Pickhardt; Jung-Min Lee; Ronald M. Summers (Computer-Aided Diagnosis, 2023)

Semantic Image Synthesis for Abdominal CT. - Yan Zhuang; Benjamin Hou; Tejas Sudharshan Mathai; Pritam Mukherjee; Boah Kim; Ronald M. Summers (DGM4MICCAI, 2023)

Domain Agnostic Pipeline for Retina Vessel Segmentation. - Benjamin Hou (CoRR, 2023)

High-Fidelity Image Synthesis from Pulmonary Nodule Lesion Maps using Semantic Diffusion Model. - Xuan Zhao; Benjamin Hou (CoRR, 2023)

Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for AI-generated Radiology Reports. - Qingqing Zhu; Xiuying Chen; Qiao Jin 001; Benjamin Hou; Tejas Sudharshan Mathai; Pritam Mukherjee; Xin Gao 001; Ronald M. Summers; Zhiyong Lu (ICHI, 2024)

Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports. - Qingqing Zhu; Xiuying Chen; Qiao Jin 001; Benjamin Hou; Tejas Sudharshan Mathai; Pritam Mukherjee; Xin Gao 001; Ronald M. Summers; Zhiyong Lu (CoRR, 2024)

Decomposing Vision-based LLM Predictions for Auto-Evaluation with GPT-4. - Qingqing Zhu; Benjamin Hou; Tejas Sudharshan Mathai; Pritam Mukherjee; Qiao Jin 001; Xiuying Chen; Zhizheng Wang; Ruida Cheng; Ronald M. Summers; Zhiyong Lu (CoRR, 2024)

MRISegmentator-Abdomen: A Fully Automated Multi-Organ and Structure Segmentation Tool for T1-weighted Abdominal MRI. - Yan Zhuang; Tejas Sudharshan Mathai; Pritam Mukherjee; Brandon Khoury; Boah Kim; Benjamin Hou; Nusrat Rabbee; Ronald M. Summers (CoRR, 2024)

Shadow and Light: Digitally Reconstructed Radiographs for Disease Classification. - Benjamin Hou; Qingqing Zhu; Tejas Sudharshan Mathai; Qiao Jin 001; Zhiyong Lu; Ronald M. Summers (CoRR, 2024)

Deep Learning Segmentation of Ascites on Abdominal CT Scans for Automatic Volume Quantification. - Benjamin Hou; Sung-Won Lee 003; Jung-Min Lee; Christopher Koh; Jing Xiao 006; Perry J. Pickhardt; Ronald M. Summers (CoRR, 2024)

Towards Accountable AI-Assisted Eye Disease Diagnosis: Workflow Design, External Validation, and Continual Learning. - Qingyu Chen 001; 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; et al. (CoRR, 2024)

Beyond Multiple-Choice Accuracy: Real-World Challenges of Implementing Large Language Models in Healthcare. - Yifan Yang 006; Qiao Jin 001; Qingqing Zhu; Zhizheng Wang; Francisco Erramuspe Álvarez; Nicholas Wan; Benjamin Hou; Zhiyong Lu (CoRR, 2024)

Demystifying Large Language Models for Medicine: A Primer. - Qiao Jin 001; Nicholas Wan; Robert Leaman; Shubo Tian; Zhizheng Wang; Yifan Yang 006; Zifeng Wang 008; Guangzhi Xiong; Po-Ting Lai; Qingqing Zhu; Benjamin Hou; Maame Sarfo-Gyamfi; et al. (CoRR, 2024)

Enhanced muscle and fat segmentation for CT-based body composition analysis: a comparative study. - Benjamin Hou; Tejas Sudharshan Mathai; Jianfei Liu; Christopher Parnell; Ronald M. Summers (Int. J. Comput. Assist. Radiol. Surg., 2024)

How well do multimodal LLMs interpret CT scans? An auto-evaluation framework for analyses. - Qingqing Zhu; Benjamin Hou; Tejas Sudharshan Mathai; Pritam Mukherjee; Qiao Jin 001; Xiuying Chen; Zhizheng Wang; Ruida Cheng; Ronald M. Summers; Zhiyong Lu (J. Biomed. Informatics, 2025)

Efficient 2D CT Foundation Model for Contrast Phase Classification. - Benjamin Hou; Tejas Sudharshan Mathai; Pritam Mukherjee; Xinya Wang; Ronald M. Summers; Zhiyong Lu (CoRR, 2025)

Longitudinal Assessment of Lung Lesion Burden in CT. - Tejas Sudharshan Mathai; Benjamin Hou; Ronald M. Summers (CoRR, 2025)

Text Embedded Swin-UMamba for DeepLesion Segmentation. - Ruida Cheng; Tejas Sudharshan Mathai; Pritam Mukherjee; Benjamin Hou; Qingqing Zhu; Zhiyong Lu; Matthew J. McAuliffe; Ronald M. Summers (CoRR, 2025)