Christopher P. Bridge

According to our database, Christopher P. Bridge authored at least 37 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

Towards Early Detection: AI-Based Five-Year Forecasting of Breast Cancer Risk Using Digital Breast Tomosynthesis Imaging.

Manon A. Dorster, Felix J. Dorfner, Mason C. Cleveland, Melisa S. Guelen, Jay B. Patel, Dania Daye, Jean-Philippe Thiran, Albert E. Kim, Christopher P. Bridge

Proceedings of the Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 2025

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

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

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, Christopher P. Bridge, Albert E. Kim

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

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

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, Albert E. Kim, Jameson Merkow, Keno K. Bressem, Christopher P. Bridge

CoRR, 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, Stephen McNamara, J. Peter Campbell, Matthew D. Li, Jayashree Kalpathy-Cramer, Praveer Singh

Proceedings of the Ethics and Fairness in Medical Imaging, 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, Jay B. Patel, Charles Lu, Christopher P. Bridge, Daniel L. Rubin, Jayashree Kalpathy-Cramer, Praveer Singh

Proceedings of the Artificial Intelligence in Pancreatic Disease Detection and Diagnosis, and Personalized Incremental Learning in Medicine, 2024

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, Albert E. Kim, Christopher P. Bridge

Proceedings of the Cancer Prevention, Detection, and Intervention - Third MICCAI Workshop, 2024

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

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

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, Ayal Aizer, Wenya Linda Bi, K. Ina Ly, Bruce Rosen, Priscilla K. Brastianos, Raymond Y. Huang, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer

Proceedings of the Machine Learning for Healthcare Conference, 2023

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

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

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

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, Tobias Penzkofer, Andreas Michael Bucher, Ming Melvin Qin, Gigon Bae, M. Jorge Cardoso, Sébastien Ourselin, Eric Kerfoot, Rahul Choudhury, Richard D. White, Tessa Sundaram Cook, David Bericat, Matthew P. Lungren, Risto Haukioja, Haris Shuaib

CoRR, 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, Tracy Batchelor, Bruce R. Rosen, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer

Proceedings of the Medical Imaging 2022: Image Perception, 2022

Do I know this? segmentation uncertainty under domain shift.

Katharina Hoebel, Christopher P. Bridge, Andréanne Lemay, Ken Chang, Jay B. Patel, Bruce Rosen, Jayashree Kalpathy-Cramer

Proceedings of the Medical Imaging 2022: Image Processing, 2022

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

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

Deploying clinical machine learning? Consider the following...

Charles Lu, Ken Chang, Praveer Singh, Stuart R. Pomerantz, Sean Doyle, Sujay Kakarmath, Christopher P. Bridge, Jayashree Kalpathy-Cramer

CoRR, 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, Charles Lu, Christopher P. Bridge, Daniel L. Rubin, Jayashree Kalpathy-Cramer

CoRR, 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

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

Proceedings of the Functional Imaging and Modeling of the Heart, 2021

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

"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, Katherine P. Andriole

CoRR, 2020

2019

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

2018

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, Marisa Welch, Caitlin Zellers, Neil A. Tenenholtz, Mark Michalski, Brian Wolpin, Katherine P. Andriole

Proceedings of the OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, - and - Skin Image Analysis, 2018

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

Automated annotation and quantitative description of ultrasound videos of the fetal heart.

Christopher P. Bridge, Christos Ioannou, J. Alison Noble

Medical Image Anal., 2017

Introduction To The Monogenic Signal.

Christopher P. Bridge

CoRR, 2017

Temporal HeartNet: Towards Human-Level Automatic Analysis of Fetal Cardiac Screening Video.

Weilin Huang, Christopher P. Bridge, J. Alison Noble, Andrew Zisserman

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Localizing Cardiac Structures in Fetal Heart Ultrasound Video.

Christopher P. Bridge, Christos Ioannou, J. Alison Noble

Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Automated characterization of the fetal heart in ultrasound images using fully convolutional neural networks.

Vaanathi Sundaresan, Christopher P. Bridge, Christos Ioannou, J. Alison Noble

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2015

Object localisation in fetal ultrasound images using invariant features.

Christopher P. Bridge, J. Alison Noble

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015