Christopher P. Bridge
Orcid: 0000-0002-2242-351X
According to our database1,
Christopher P. Bridge
authored at least 35 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Diffusion tensor transformation for personalizing target volumes in radiation therapy.
Medical Image Anal., 2024
Deep Learning-based Prediction of Breast Cancer Tumor and Immune Phenotypes from Histopathology.
CoRR, 2024
Automatic classification of prostate MR series type using image content and metadata.
CoRR, 2024
PRECISE Framework: GPT-based Text For Improved Readability, Reliability, and Understandability of Radiology Reports For Patient-Centered Care.
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.
CoRR, 2024
Cycle-GANs Generated Difference Maps to Interpret Race Prediction from Medical Images.
Proceedings of the Ethics and Fairness in Medical Imaging, 2024
Addressing Catastrophic Forgetting by Modulating Global Batch Normalization Statistics for Medical Domain Expansion.
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.
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.
CoRR, 2023
CoRR, 2023
A Deep Learning Based Framework for Joint Image Registration and Segmentation of Brain Metastases on Magnetic Resonance Imaging.
Proceedings of the Machine Learning for Healthcare Conference, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
npj Digit. Medicine, 2022
Highdicom: a Python Library for Standardized Encoding of Image Annotations and Machine Learning Model Outputs in Pathology and Radiology.
J. Digit. Imaging, 2022
CoRR, 2022
Proceedings of the Medical Imaging 2022: Image Perception, 2022
Proceedings of the Medical Imaging 2022: Image Processing, 2022
2021
The Trials and Tribulations of Assembling Large Medical Imaging Datasets for Machine Learning Applications.
J. Digit. Imaging, 2021
ECGAug: A novel method of generating augmented annotated electrocardiogram QRST complexes and rhythm strips.
Comput. Biol. Medicine, 2021
M-SiSSR: Regional Endocardial Function Using Multilabel Simultaneous Subdivision Surface Registration.
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.
J. Digit. Imaging, 2020
"Name that manufacturer". Relating image acquisition bias with task complexity when training deep learning models: experiments on head CT.
CoRR, 2020
2019
Semi-Supervised Natural Language Approach for Fine-Grained Classification of Medical Reports.
CoRR, 2019
2018
Fully-Automated Analysis of Body Composition from CT in Cancer Patients Using Convolutional Neural Networks.
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.
Medical Image Anal., 2017
Automated annotation and quantitative description of ultrasound videos of the fetal heart.
Medical Image Anal., 2017
Temporal HeartNet: Towards Human-Level Automatic Analysis of Fetal Cardiac Screening Video.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
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.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015