Christopher P. Bridge

43 papers B 1Journal 29Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DBT-DINO: Towards Foundation model based analysis of Digital Breast Tomosynthesis. CoRR Felix J. Dorfner, Manon A. Dorster, Ryan Connolly, Oscar Gentilhomme, Edward Gibbs, Steven Graham, Seth Wander, Thomas Schultz, Manisha Bahl, Dania Daye, Albert E. Kim, Christopher P. Bridge
2025	J	`jnl`	Re-identification of patients from imaging features extracted by foundation models. npj Digit. Medicine Giacomo Nebbia, Sourav Kumar, Stephen McNamara, Christopher P. Bridge, J. Peter Campbell, Michael F. Chiang, Naresh Mandava, Praveer Singh, Jayashree Kalpathy-Cramer
2025	—	`conf`	Towards Early Detection: AI-Based Five-Year Forecasting of Breast Cancer Risk Using Digital Breast Tomosynthesis Imaging. Deep-Breath@MICCAI 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
2025	J	`jnl`	Towards Early Detection: AI-Based Five-Year Forecasting of Breast Cancer Risk Using Digital Breast Tomosynthesis Imaging. CoRR 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
2024	—	`conf`	Addressing Catastrophic Forgetting by Modulating Global Batch Normalization Statistics for Medical Domain Expansion. AIPAD/PILM@MICCAI 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
2024	J	`jnl`	Automatic classification of prostate MR series type using image content and metadata. CoRR Deepa Krishnaswamy, Balint Kovacs, Stefan Denner, Steven D. Pieper, David A. Clunie, Christopher P. Bridge, Tina Kapur, Klaus H. Maier-Hein, Andrey Fedorov
2024	—	`conf`	Cycle-GANs Generated Difference Maps to Interpret Race Prediction from Medical Images. FAIMI/EPIMI@MICCAI 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
2024	J	`jnl`	Deep Learning-based Prediction of Breast Cancer Tumor and Immune Phenotypes from Histopathology. CoRR 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
2024	J	`jnl`	Diffusion tensor transformation for personalizing target volumes in radiation therapy. Medical Image Anal. Gregory Buti, Ali Ajdari, Christopher P. Bridge, Gregory C. Sharp, Thomas Bortfeld
2024	J	`jnl`	Is Open-Source There Yet? A Comparative Study on Commercial and Open-Source LLMs in Their Ability to Label Chest X-Ray Reports. CoRR 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
2024	—	`conf`	Multimodal Deep Learning-Based Prediction of Immune Checkpoint Inhibitor Efficacy in Brain Metastases. CaPTion@MICCAI 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
2024	J	`jnl`	PRECISE Framework: GPT-based Text For Improved Readability, Reliability, and Understandability of Radiology Reports For Patient-Centered Care. CoRR Satvik Tripathi, Liam Mutter, Meghana Muppuri, Suhani Dheer, Emiliano Garza-Frias, Komal Awan, Aakash Jha, Michael Dezube, Azadeh Tabari, Christopher P. Bridge, Dania Daye
2024	J	`jnl`	Scalable Drift Monitoring in Medical Imaging AI. CoRR Jameson Merkow, Felix J. Dorfner, Xiyu Yang, Alexander Ersoy, Giridhar Dasegowda, Mannudeep K. Kalra, Matthew P. Lungren, Christopher P. Bridge, Ivan Tarapov
2023	—	`conf`	A Deep Learning Based Framework for Joint Image Registration and Segmentation of Brain Metastases on Magnetic Resonance Imaging. MLHC 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
2023	J	`jnl`	A generalized framework to predict continuous scores from medical ordinal labels. CoRR 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
2023	—	`conf`	CheXstray: A Real-Time Multi-Modal Monitoring Workflow for Medical Imaging AI. MICCAI (3) 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
2023	J	`jnl`	Enrichment of the NLST and NSCLC-Radiomics computed tomography collections with AI-derived annotations. CoRR Deepa Krishnaswamy, Dennis Bontempi, Vamsi Thiriveedhi, Davide Punzo, David A. Clunie, Christopher P. Bridge, Hugo J. W. L. Aerts, Ron Kikinis, Andrey Fedorov
2022	J	`jnl`	Current State of Community-Driven Radiological AI Deployment in Medical Imaging. CoRR 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
2022	B	`conf`	Do I know this? segmentation uncertainty under domain shift. Image Processing Katharina Hoebel, Christopher P. Bridge, Andréanne Lemay, Ken Chang, Jay B. Patel, Bruce Rosen, Jayashree Kalpathy-Cramer
2022	J	`jnl`	Highdicom: a Python Library for Standardized Encoding of Image Annotations and Machine Learning Model Outputs in Pathology and Radiology. J. Digit. Imaging 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
2022	J	`jnl`	Improving the repeatability of deep learning models with Monte Carlo dropout. CoRR 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
2022	J	`jnl`	Improving the repeatability of deep learning models with Monte Carlo dropout. npj Digit. Medicine 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
2022	—	`conf`	Is this good enough? On expert perception of brain tumor segmentation quality. Image Perception, Observer Performance, and Technology Assessment 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
2021	J	`jnl`	Addressing catastrophic forgetting for medical domain expansion. CoRR 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
2021	J	`jnl`	Deploying clinical machine learning? Consider the following... CoRR Charles Lu, Ken Chang, Praveer Singh, Stuart R. Pomerantz, Sean Doyle, Sujay Kakarmath, Christopher P. Bridge, Jayashree Kalpathy-Cramer
2021	J	`jnl`	ECGAug: A novel method of generating augmented annotated electrocardiogram QRST complexes and rhythm strips. Comput. Biol. Medicine Hans Friedrich Stabenau, Christopher P. Bridge, Jonathan W. Waks
2021	J	`jnl`	Highdicom: A Python library for standardized encoding of image annotations and machine learning model outputs in pathology and radiology. CoRR 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
2021	—	`conf`	M-SiSSR: Regional Endocardial Function Using Multilabel Simultaneous Subdivision Surface Registration. FIMH Davis M. Vigneault, Francisco Contijoch, Christopher P. Bridge, Katherine Lowe, Chelsea Jan, Elliot R. McVeigh
2021	J	`jnl`	Monte Carlo dropout increases model repeatability. CoRR Andréanne Lemay, Katharina Hoebel, Christopher P. Bridge, Didem Egemen, Ana Cecilia Rodriguez, Mark Schiffman, John Peter Campbell, Jayashree Kalpathy-Cramer
2021	J	`jnl`	The Trials and Tribulations of Assembling Large Medical Imaging Datasets for Machine Learning Applications. J. Digit. Imaging Kirti Magudia, Christopher P. Bridge, Katherine P. Andriole, Michael H. Rosenthal
2020	J	`jnl`	"Name that manufacturer". Relating image acquisition bias with task complexity when training deep learning models: experiments on head CT. CoRR Giorgio Pietro Biondetti, Romane Gauriau, Christopher P. Bridge, Charles Lu, Katherine P. Andriole
2020	J	`jnl`	Using DICOM Metadata for Radiological Image Series Categorization: a Feasibility Study on Large Clinical Brain MRI Datasets. J. Digit. Imaging Romane Gauriau, Christopher P. Bridge, Lina Chen, Felipe Kitamura, Neil A. Tenenholtz, John E. Kirsch, Katherine P. Andriole, Mark H. Michalski, Bernardo C. Bizzo
2019	J	`jnl`	Semi-Supervised Natural Language Approach for Fine-Grained Classification of Medical Reports. CoRR Neil Deshmukh, Bernardo Bizzo, Selin Gumustop, Romane Gauriau, Varun Buch, Bradley Wright, Christopher P. Bridge, Ram C. Naidu, Katherine P. Andriole
2018	—	`conf`	Fully-Automated Analysis of Body Composition from CT in Cancer Patients Using Convolutional Neural Networks. OR 2.0/CARE/CLIP/ISIC@MICCAI 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
2018	J	`jnl`	Fully-Automated Analysis of Body Composition from CT in Cancer Patients Using Convolutional Neural Networks. CoRR 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
2017	J	`jnl`	A framework for analysis of linear ultrasound videos to detect fetal presentation and heartbeat. Medical Image Anal. Mohammad Ali Maraci, Christopher P. Bridge, Raffaele Napolitano, Aris T. Papageorghiou, J. Alison Noble
2017	J	`jnl`	Automated annotation and quantitative description of ultrasound videos of the fetal heart. Medical Image Anal. Christopher P. Bridge, Christos Ioannou, J. Alison Noble
2017	—	`conf`	Automated characterization of the fetal heart in ultrasound images using fully convolutional neural networks. ISBI Vaanathi Sundaresan, Christopher P. Bridge, Christos Ioannou, J. Alison Noble
2017	J	`jnl`	Introduction To The Monogenic Signal. CoRR Christopher P. Bridge
2017	—	`conf`	Localizing Cardiac Structures in Fetal Heart Ultrasound Video. MLMI@MICCAI Christopher P. Bridge, Christos Ioannou, J. Alison Noble
2017	—	`conf`	Temporal HeartNet: Towards Human-Level Automatic Analysis of Fetal Cardiac Screening Video. MICCAI (2) Weilin Huang, Christopher P. Bridge, J. Alison Noble, Andrew Zisserman
2017	J	`jnl`	Temporal HeartNet: Towards Human-Level Automatic Analysis of Fetal Cardiac Screening Video. CoRR Weilin Huang, Christopher P. Bridge, J. Alison Noble, Andrew Zisserman
2015	—	`conf`	Object localisation in fetal ultrasound images using invariant features. ISBI Christopher P. Bridge, J. Alison Noble