Object localisation in fetal ultrasound images using invariant features. - Christopher P. Bridge; J. Alison Noble (ISBI, 2015)

Automated characterization of the fetal heart in ultrasound images using fully convolutional neural networks. - Vaanathi Sundaresan; Christopher P. Bridge; Christos Ioannou; J. Alison Noble (ISBI, 2017)

Localizing Cardiac Structures in Fetal Heart Ultrasound Video. - Christopher P. Bridge; Christos Ioannou; J. Alison Noble (MLMI@MICCAI, 2017)

Temporal HeartNet: Towards Human-Level Automatic Analysis of Fetal Cardiac Screening Video. - Weilin Huang; Christopher P. Bridge; J. Alison Noble; Andrew Zisserman (MICCAI (2), 2017)

Introduction To The Monogenic Signal. - Christopher P. Bridge (CoRR, 2017)

Automated annotation and quantitative description of ultrasound videos of the fetal heart. - Christopher P. Bridge; Christos Ioannou; J. Alison Noble (Medical Image Anal., 2017)

A framework for analysis of linear ultrasound videos to detect fetal presentation and heartbeat. - Mohammad Ali Maraci; Christopher P. Bridge; Raffaele Napolitano; Aris T. Papageorghiou; J. Alison Noble (Medical Image Anal., 2017)

Fully-Automated Analysis of Body Composition from CT in Cancer Patients Using Convolutional Neural Networks. - Christopher P. Bridge; Michael H. Rosenthal; Bradley Wright; Gopal Kotecha; Florian J. Fintelmann; Fabian M. Troschel; Nityanand Miskin; Khanant Desai; William Wrobel; Ana Babic; Natalia Khalaf; Lauren Brais; et al. (OR 2.0/CARE/CLIP/ISIC@MICCAI, 2018)

Semi-Supervised Natural Language Approach for Fine-Grained Classification of Medical Reports. - Neil Deshmukh; Bernardo Bizzo; Selin Gumustop; Romane Gauriau; Varun Buch; Bradley Wright; Christopher P. Bridge; Ram C. Naidu; Katherine P. Andriole (CoRR, 2019)

"Name that manufacturer". Relating image acquisition bias with task complexity when training deep learning models: experiments on head CT. - Giorgio Pietro Biondetti; Romane Gauriau; Christopher P. Bridge; Charles Lu 001; Katherine P. Andriole (CoRR, 2020)

Using DICOM Metadata for Radiological Image Series Categorization: a Feasibility Study on Large Clinical Brain MRI Datasets. - Romane Gauriau; Christopher P. Bridge; Lina Chen; Felipe Kitamura; Neil A. Tenenholtz; John E. Kirsch; Katherine P. Andriole; Mark H. Michalski; Bernardo C. Bizzo (J. Digit. Imaging, 2020)

M-SiSSR: Regional Endocardial Function Using Multilabel Simultaneous Subdivision Surface Registration. - Davis M. Vigneault; Francisco Contijoch; Christopher P. Bridge; Katherine Lowe; Chelsea Jan; Elliot R. McVeigh (FIMH, 2021)

ECGAug: A novel method of generating augmented annotated electrocardiogram QRST complexes and rhythm strips. - Hans Friedrich Stabenau; Christopher P. Bridge; Jonathan W. Waks (Comput. Biol. Medicine, 2021)

Addressing catastrophic forgetting for medical domain expansion. - Sharut Gupta; Praveer Singh; Ken Chang; Liangqiong Qu; Mehak Aggarwal; Nishanth Thumbavanam Arun; Ashwin Vaswani; Shruti Raghavan; Vibha Agarwal; Mishka Gidwani; Katharina Hoebel; Jay B. Patel; et al. (CoRR, 2021)

Deploying clinical machine learning? Consider the following... - Charles Lu 001; Ken Chang; Praveer Singh; Stuart R. Pomerantz; Sean Doyle; Sujay Kakarmath; Christopher P. Bridge; Jayashree Kalpathy-Cramer (CoRR, 2021)

Monte Carlo dropout increases model repeatability. - Andréanne Lemay; Katharina Hoebel; Christopher P. Bridge; Didem Egemen; Ana Cecilia Rodriguez; Mark Schiffman; John Peter Campbell; Jayashree Kalpathy-Cramer (CoRR, 2021)

The Trials and Tribulations of Assembling Large Medical Imaging Datasets for Machine Learning Applications. - Kirti Magudia; Christopher P. Bridge; Katherine P. Andriole; Michael H. Rosenthal (J. Digit. Imaging, 2021)

Do I know this? segmentation uncertainty under domain shift. - Katharina Hoebel; Christopher P. Bridge; Andréanne Lemay; Ken Chang; Jay B. Patel; Bruce Rosen 001; Jayashree Kalpathy-Cramer (Image Processing, 2022)

Is this good enough? On expert perception of brain tumor segmentation quality. - Katharina Hoebel; Christopher P. Bridge; Sara Ahmed; Oluwatosin Akintola; Caroline Chung; Raymond Y. Huang; Jason Johnson; Albert E. Kim; K. Ina Ly; Ken Chang; Jay B. Patel; Marco Pinho; et al. (Image Perception, Observer Performance, and Technology Assessment, 2022)

Current State of Community-Driven Radiological AI Deployment in Medical Imaging. - Vikash Gupta; Barbaros Selnur Erdal; Carolina Ramirez; Ralf Floca; Laurence Jackson; Brad W. Genereaux; Sidney Bryson; Christopher P. Bridge; Jens Kleesiek; Felix Nensa; Rickmer Braren; Khaled Younis; et al. (CoRR, 2022)

Highdicom: a Python Library for Standardized Encoding of Image Annotations and Machine Learning Model Outputs in Pathology and Radiology. - Christopher P. Bridge; Chris Gorman; Steven D. Pieper; Sean W. Doyle; Jochen K. Lennerz; Jayashree Kalpathy-Cramer; David A. Clunie; Andriy Fedorov; Markus D. Herrmann (J. Digit. Imaging, 2022)

Improving the repeatability of deep learning models with Monte Carlo dropout. - Andréanne Lemay; Katharina Hoebel; Christopher P. Bridge; Brian Befano; Silvia De Sanjosé; Didem Egemen; Ana Cecilia Rodriguez; Mark Schiffman; John Peter Campbell; Jayashree Kalpathy-Cramer (npj Digit. Medicine, 2022)

CheXstray: A Real-Time Multi-Modal Monitoring Workflow for Medical Imaging AI. - Jameson Merkow; Arjun Soin; Jin Long; Joseph Paul Cohen; Smitha Saligrama; Christopher P. Bridge; Xiyu Yang; Stephen Kaiser; Steven Borg; Ivan Tarapov; Matthew P. Lungren (MICCAI (3), 2023)

A Deep Learning Based Framework for Joint Image Registration and Segmentation of Brain Metastases on Magnetic Resonance Imaging. - Jay B. Patel; Syed Rakin Ahmed; Ken Chang; Praveer Singh; Mishka Gidwani; Katharina Hoebel; Albert E. Kim; Christopher P. Bridge; Chung-Jen Teng; Xiaomei Li; Gongwen Xu; Megan McDonald; et al. (MLHC, 2023)

A generalized framework to predict continuous scores from medical ordinal labels. - Katharina Viktoria Hoebel; Andréanne Lemay; John Peter Campbell; Susan Ostmo; Michael F. Chiang; Christopher P. Bridge; Matthew D. Li; Praveer Singh; Aaron S. Coyner; Jayashree Kalpathy-Cramer (CoRR, 2023)

Enrichment of the NLST and NSCLC-Radiomics computed tomography collections with AI-derived annotations. - Deepa Krishnaswamy; Dennis Bontempi; Vamsi Thiriveedhi; Davide Punzo; David A. Clunie; Christopher P. Bridge; Hugo J. W. L. Aerts; Ron Kikinis; Andrey Fedorov (CoRR, 2023)

Multimodal Deep Learning-Based Prediction of Immune Checkpoint Inhibitor Efficacy in Brain Metastases. - Tobias R. Bodenmann; Nelson Gil; Felix J. Dorfner; Mason C. Cleveland; Jay B. Patel; Shreyas Bhat Brahmavar; Melisa S. Guelen; Dagoberto Pulido-Arias; Jayashree Kalpathy-Cramer; Jean-Philippe Thiran; Bruce R. Rosen; Elizabeth R. Gerstner; et al. (CaPTion@MICCAI, 2024)

Addressing Catastrophic Forgetting by Modulating Global Batch Normalization Statistics for Medical Domain Expansion. - Sharut Gupta; Ken Chang; Liangqiong Qu; Aakanksha Rana; Syed Rakin Ahmed; Mehak Aggarwal; Nishanth Thumbavanam Arun; Ashwin Vaswani; Shruti Raghavan; Vibha Agarwal; Mishka Gidwani; Katharina Hoebel; et al. (AIPAD/PILM@MICCAI, 2024)

Cycle-GANs Generated Difference Maps to Interpret Race Prediction from Medical Images. - Lakshika Rathi; Giacomo Nebbia; Ken Chang; Sourav Kumar; Aarushi Gupta; Syed Rakin Ahmed; Jay B. Patel; Christopher Clark; Yoga Advaith Veturi; Aaron S. Coyner; Aakanksha Rana; Christopher P. Bridge; et al. (FAIMI/EPIMI@MICCAI, 2024)

Is Open-Source There Yet? A Comparative Study on Commercial and Open-Source LLMs in Their Ability to Label Chest X-Ray Reports. - Felix J. Dorfner; Liv Jürgensen; Leonhard Donle; Fares Al Mohamad; Tobias R. Bodenmann; Mason C. Cleveland; Felix Busch; Lisa C. Adams; James Sato; Thomas Schultz 002; Albert E. Kim; Jameson Merkow; et al. (CoRR, 2024)

PRECISE Framework: GPT-based Text For Improved Readability, Reliability, and Understandability of Radiology Reports For Patient-Centered Care. - Satvik Tripathi; Liam Mutter; Meghana Muppuri; Suhani Dheer; Emiliano Garza-Frias; Komal Awan; Aakash Jha; Michael Dezube; Azadeh Tabari; Christopher P. Bridge; Dania Daye (CoRR, 2024)

Automatic classification of prostate MR series type using image content and metadata. - Deepa Krishnaswamy; Balint Kovacs; Stefan Denner; Steven D. Pieper; David A. Clunie; Christopher P. Bridge; Tina Kapur; Klaus H. Maier-Hein; Andrey Fedorov (CoRR, 2024)

Deep Learning-based Prediction of Breast Cancer Tumor and Immune Phenotypes from Histopathology. - Tiago Gonçalves; Dagoberto Pulido-Arias; Julian Willett; Katharina Viktoria Hoebel; Mason C. Cleveland; Syed Rakin Ahmed; Elizabeth R. Gerstner; Jayashree Kalpathy-Cramer; Jaime S. Cardoso 001; Christopher P. Bridge; Albert E. Kim (CoRR, 2024)

Scalable Drift Monitoring in Medical Imaging AI. - Jameson Merkow; Felix J. Dorfner; Xiyu Yang; Alexander Ersoy; Giridhar Dasegowda; Mannudeep K. Kalra; Matthew P. Lungren; Christopher P. Bridge; Ivan Tarapov (CoRR, 2024)

Diffusion tensor transformation for personalizing target volumes in radiation therapy. - Gregory Buti; Ali Ajdari; Christopher P. Bridge; Gregory C. Sharp; Thomas Bortfeld (Medical Image Anal., 2024)

Re-identification of patients from imaging features extracted by foundation models. - Giacomo Nebbia; Sourav Kumar; Stephen McNamara; Christopher P. Bridge; J. Peter Campbell; Michael F. Chiang; Naresh Mandava; Praveer Singh; Jayashree Kalpathy-Cramer (npj Digit. Medicine, 2025)