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ORCIDChristopher P. Bridge
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- Christopher P. Bridges
![[0000-0003-0250-7529]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-0250-7529")
(aka: Christopher Paul Bridges) - Christopher R. Bridges
- Christopher Bridges 0001 (aka: Chris Bridges 0001) — Trillium Technologies Inc., Frontier Development Lab, TX, USA (and 1 more)
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2020 – today
- 2024
[j8]Gregory Buti, Ali Ajdari, Christopher P. Bridge, Gregory C. Sharp, Thomas Bortfeld:
Diffusion tensor transformation for personalizing target volumes in radiation therapy. Medical Image Anal. 97: 103271 (2024)- [c13]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:
Multimodal Deep Learning-Based Prediction of Immune Checkpoint Inhibitor Efficacy in Brain Metastases. CaPTion@MICCAI 2024: 37-47 - [c12]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:
Addressing Catastrophic Forgetting by Modulating Global Batch Normalization Statistics for Medical Domain Expansion. AIPAD/PILM@MICCAI 2024: 57-72 - [c11]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:
Cycle-GANs Generated Difference Maps to Interpret Race Prediction from Medical Images. FAIMI/EPIMI@MICCAI 2024: 129-139 - [i18]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:
Is Open-Source There Yet? A Comparative Study on Commercial and Open-Source LLMs in Their Ability to Label Chest X-Ray Reports. CoRR abs/2402.12298 (2024) - [i17]Satvik Tripathi, Liam Mutter, Meghana Muppuri, Suhani Dheer, Emiliano Garza-Frias, Komal Awan, Aakash Jha, Michael Dezube, Azadeh Tabari, Christopher P. Bridge, Dania Daye:
PRECISE Framework: GPT-based Text For Improved Readability, Reliability, and Understandability of Radiology Reports For Patient-Centered Care. CoRR abs/2403.00788 (2024) - [i16]Deepa Krishnaswamy, Balint Kovacs, Stefan Denner, Steven D. Pieper, David A. Clunie, Christopher P. Bridge, Tina Kapur, Klaus H. Maier-Hein, Andrey Fedorov:
Automatic classification of prostate MR series type using image content and metadata. CoRR abs/2404.10892 (2024) - [i15]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:
Deep Learning-based Prediction of Breast Cancer Tumor and Immune Phenotypes from Histopathology. CoRR abs/2404.16397 (2024) - [i14]Jameson Merkow, Felix J. Dorfner, Xiyu Yang, Alexander Ersoy, Giridhar Dasegowda, Mannudeep K. Kalra, Matthew P. Lungren, Christopher P. Bridge, Ivan Tarapov:
Scalable Drift Monitoring in Medical Imaging AI. CoRR abs/2410.13174 (2024) - 2023
- [c10]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:
CheXstray: A Real-Time Multi-Modal Monitoring Workflow for Medical Imaging AI. MICCAI (3) 2023: 326-336 - [c9]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:
A Deep Learning Based Framework for Joint Image Registration and Segmentation of Brain Metastases on Magnetic Resonance Imaging. MLHC 2023: 565-587 - [i13]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:
A generalized framework to predict continuous scores from medical ordinal labels. CoRR abs/2305.19097 (2023) - [i12]Deepa Krishnaswamy, Dennis Bontempi, Vamsi Thiriveedhi, Davide Punzo, David A. Clunie, Christopher P. Bridge, Hugo J. W. L. Aerts, Ron Kikinis, Andrey Fedorov:
Enrichment of the NLST and NSCLC-Radiomics computed tomography collections with AI-derived annotations. CoRR abs/2306.00150 (2023) - 2022
- [j7]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:
Highdicom: a Python Library for Standardized Encoding of Image Annotations and Machine Learning Model Outputs in Pathology and Radiology. J. Digit. Imaging 35(6): 1719-1737 (2022) - [j6]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:
Improving the repeatability of deep learning models with Monte Carlo dropout. npj Digit. Medicine 5 (2022) - [c8]Katharina Hoebel, Christopher P. Bridge, Andréanne Lemay, Ken Chang, Jay B. Patel, Bruce Rosen, Jayashree Kalpathy-Cramer:
Do I know this? segmentation uncertainty under domain shift. Image Processing 2022 - [c7]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:
Is this good enough? On expert perception of brain tumor segmentation quality. Image Perception, Observer Performance, and Technology Assessment 2022 - [i11]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:
Improving the repeatability of deep learning models with Monte Carlo dropout. CoRR abs/2202.07562 (2022) - [i10]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:
Current State of Community-Driven Radiological AI Deployment in Medical Imaging. CoRR abs/2212.14177 (2022) - 2021
- [j5]Hans Friedrich Stabenau, Christopher P. Bridge, Jonathan W. Waks:
ECGAug: A novel method of generating augmented annotated electrocardiogram QRST complexes and rhythm strips. Comput. Biol. Medicine 134: 104408 (2021) - [j4]Kirti Magudia, Christopher P. Bridge, Katherine P. Andriole, Michael H. Rosenthal:
The Trials and Tribulations of Assembling Large Medical Imaging Datasets for Machine Learning Applications. J. Digit. Imaging 34(6): 1424-1429 (2021) - [c6]Davis M. Vigneault, Francisco Contijoch, Christopher P. Bridge, Katherine Lowe, Chelsea Jan, Elliot R. McVeigh:
M-SiSSR: Regional Endocardial Function Using Multilabel Simultaneous Subdivision Surface Registration. FIMH 2021: 242-252 - [i9]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:
Addressing catastrophic forgetting for medical domain expansion. CoRR abs/2103.13511 (2021) - [i8]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:
Highdicom: A Python library for standardized encoding of image annotations and machine learning model outputs in pathology and radiology. CoRR abs/2106.07806 (2021) - [i7]Charles Lu, Ken Chang, Praveer Singh, Stuart R. Pomerantz, Sean Doyle, Sujay Kakarmath, Christopher P. Bridge, Jayashree Kalpathy-Cramer:
Deploying clinical machine learning? Consider the following... CoRR abs/2109.06919 (2021) - [i6]Andréanne Lemay, Katharina Hoebel, Christopher P. Bridge, Didem Egemen, Ana Cecilia Rodriguez, Mark Schiffman, John Peter Campbell, Jayashree Kalpathy-Cramer:
Monte Carlo dropout increases model repeatability. CoRR abs/2111.06754 (2021) - 2020
- [j3]Romane Gauriau, Christopher P. Bridge, Lina Chen, Felipe Kitamura, Neil A. Tenenholtz, John E. Kirsch, Katherine P. Andriole, Mark H. Michalski, Bernardo C. Bizzo:
Using DICOM Metadata for Radiological Image Series Categorization: a Feasibility Study on Large Clinical Brain MRI Datasets. J. Digit. Imaging 33(3): 747-762 (2020) - [i5]Giorgio Pietro Biondetti, Romane Gauriau, Christopher P. Bridge, Charles Lu, Katherine P. Andriole:
"Name that manufacturer". Relating image acquisition bias with task complexity when training deep learning models: experiments on head CT. CoRR abs/2008.08525 (2020)
2010 – 2019
- 2019
- [i4]Neil Deshmukh, Bernardo Bizzo, Selin Gumustop, Romane Gauriau, Varun Buch, Bradley Wright, Christopher P. Bridge, Ram C. Naidu, Katherine P. Andriole:
Semi-Supervised Natural Language Approach for Fine-Grained Classification of Medical Reports. CoRR abs/1910.13573 (2019) - 2018
- [c5]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:
Fully-Automated Analysis of Body Composition from CT in Cancer Patients Using Convolutional Neural Networks. OR 2.0/CARE/CLIP/ISIC@MICCAI 2018: 204-213 - [i3]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:
Fully-Automated Analysis of Body Composition from CT in Cancer Patients Using Convolutional Neural Networks. CoRR abs/1808.03844 (2018) - 2017
- [j2]Christopher P. Bridge, Christos Ioannou, J. Alison Noble:
Automated annotation and quantitative description of ultrasound videos of the fetal heart. Medical Image Anal. 36: 147-161 (2017) - [j1]Mohammad Ali Maraci, Christopher P. Bridge, Raffaele Napolitano, Aris T. Papageorghiou, J. Alison Noble:
A framework for analysis of linear ultrasound videos to detect fetal presentation and heartbeat. Medical Image Anal. 37: 22-36 (2017) - [c4]Vaanathi Sundaresan, Christopher P. Bridge, Christos Ioannou, J. Alison Noble:
Automated characterization of the fetal heart in ultrasound images using fully convolutional neural networks. ISBI 2017: 671-674 - [c3]Christopher P. Bridge, Christos Ioannou, J. Alison Noble:
Localizing Cardiac Structures in Fetal Heart Ultrasound Video. MLMI@MICCAI 2017: 247-255 - [c2]Weilin Huang, Christopher P. Bridge, J. Alison Noble, Andrew Zisserman:
Temporal HeartNet: Towards Human-Level Automatic Analysis of Fetal Cardiac Screening Video. MICCAI (2) 2017: 341-349 - [i2]Christopher P. Bridge:
Introduction To The Monogenic Signal. CoRR abs/1703.09199 (2017) - [i1]Weilin Huang, Christopher P. Bridge, J. Alison Noble, Andrew Zisserman:
Temporal HeartNet: Towards Human-Level Automatic Analysis of Fetal Cardiac Screening Video. CoRR abs/1707.00665 (2017) - 2015
- [c1]Christopher P. Bridge, J. Alison Noble:
Object localisation in fetal ultrasound images using invariant features. ISBI 2015: 156-159
Coauthor Index
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