Christopher P. Bridge - researchr alias

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Viewing Publication 1 - 21 from 21

2024

Multimodal Deep Learning-Based Prediction of Immune Checkpoint Inhibitor Efficacy in Brain MetastasesTobias 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. miccai 2025: 37-47 [doi]

Diffusion tensor transformation for personalizing target volumes in radiation therapyGregory Buti, Ali Ajdari, Christopher P. Bridge, Gregory C. Sharp, Thomas Bortfeld. mia, 97:103271, 2024. [doi]

2023

2022

Highdicom: a Python Library for Standardized Encoding of Image Annotations and Machine Learning Model Outputs in Pathology and RadiologyChristopher P. Bridge, Chris Gorman, Steven D. Pieper, Sean W. Doyle, Jochen K. Lennerz, Jayashree Kalpathy-Cramer, David A. Clunie, Andriy Fedorov, Markus D. Herrmann. jdi, 35(6):1719-1737, 2022. [doi]

Do I know this? segmentation uncertainty under domain shiftKatharina Hoebel, Christopher P. Bridge, Andréanne Lemay, Ken Chang, Jay B. Patel, Bruce Rosen 0001, Jayashree Kalpathy-Cramer. miip 2022: [doi]

Is this good enough? On expert perception of brain tumor segmentation qualityKatharina Hoebel, Christopher P. Bridge, Sara Ahmed, Oluwatosin Akintola, Caroline Chung, Raymond Y. Huang, Jason Johnson, Albert Kim, K. Ina Ly, Ken Chang, Jay B. Patel, Marco Pinho, Tracy Batchelor, Bruce R. Rosen, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer. miipop 2022: [doi]

Improving the repeatability of deep learning models with Monte Carlo dropoutAndréanne Lemay, Katharina Hoebel, Christopher P. Bridge, Brian Befano, Silvia De Sanjosé, Didem Egemen, Ana Cecilia Rodriguez, Mark Schiffman, John Peter Campbell, Jayashree Kalpathy-Cramer. npjdm, 5, 2022. [doi]

2021

2020

Using DICOM Metadata for Radiological Image Series Categorization: a Feasibility Study on Large Clinical Brain MRI DatasetsRomane Gauriau, Christopher P. Bridge, Lina Chen, Felipe Kitamura, Neil A. Tenenholtz, John E. Kirsch, Katherine P. Andriole, Mark H. Michalski, Bernardo C. Bizzo. jdi, 33(3):747-762, 2020. [doi]

2018

2017

Automated annotation and quantitative description of ultrasound videos of the fetal heartChristopher P. Bridge, Christos Ioannou, J. Alison Noble. mia, 36:147-161, 2017. [doi]

Localizing Cardiac Structures in Fetal Heart Ultrasound VideoChristopher P. Bridge, Christos Ioannou, J. Alison Noble. miccai 2017: 247-255 [doi]

Temporal HeartNet: Towards Human-Level Automatic Analysis of Fetal Cardiac Screening VideoWeilin Huang, Christopher P. Bridge, J. Alison Noble, Andrew Zisserman. miccai 2017: 341-349 [doi]

A framework for analysis of linear ultrasound videos to detect fetal presentation and heartbeatMohammad Ali Maraci, Christopher P. Bridge, Raffaele Napolitano, Aris Papageorghiou, J. Alison Noble. mia, 37:22-36, 2017. [doi]

Automated characterization of the fetal heart in ultrasound images using fully convolutional neural networksVaanathi Sundaresan, Christopher P. Bridge, Christos Ioannou, J. Alison Noble. isbi 2017: 671-674 [doi]

2015

Object localisation in fetal ultrasound images using invariant featuresChristopher P. Bridge, J. Alison Noble. isbi 2015: 156-159 [doi]

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