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09/15/2023
Large Intestine 3D Shape Refinement Using Point Diffusion Models for Digital Phantom Generation
Accurate 3D modeling of human organs plays a crucial role in building co...
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07/12/2021
Interpretable Mammographic Image Classification using Cased-Based Reasoning and Deep Learning
When we deploy machine learning models in high-stakes medical settings, ...
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03/23/2021
IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography
Interpretability in machine learning models is important in high-stakes ...
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02/05/2021
Multi-Label Annotation of Chest Abdomen Pelvis Computed Tomography Text Reports Using Deep Learning
To develop a high throughput multi-label annotator for body Computed Tom...
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11/13/2020
Detection of masses and architectural distortions in digital breast tomosynthesis: a publicly available dataset of 5,060 patients and a deep learning model
Breast cancer screening is one of the most common radiological tasks wit...
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10/31/2020
Weakly Supervised 3D Classification of Chest CT using Aggregated Multi-Resolution Deep Segmentation Features
Weakly supervised disease classification of CT imaging suffers from poor...
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08/20/2020
iPhantom: a framework for automated creation of individualized computational phantoms and its application to CT organ dosimetry
Objective: This study aims to develop and validate a novel framework, iP...
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08/03/2020
Weakly Supervised Multi-Organ Multi-Disease Classification of Body CT Scans
We designed a multi-organ, multi-label disease classification algorithm ...
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02/12/2020
