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08/22/2023
ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data
Vision-language models (VLMs), such as CLIP and ALIGN, are generally tra...
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04/02/2023
The Effect of Counterfactuals on Reading Chest X-rays
This study evaluates the effect of counterfactual explanations on the in...
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02/06/2023
DDM^2: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models
Magnetic resonance imaging (MRI) is a common and life-saving medical ima...
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01/30/2023
Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays
Image augmentations are quintessential for effective visual representati...
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11/23/2022
RoentGen: Vision-Language Foundation Model for Chest X-ray Generation
Multimodal models trained on large natural image-text pair datasets have...
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10/09/2022
Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domains
Multi-modal foundation models are typically trained on millions of pairs...
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10/31/2021
TorchXRayVision: A library of chest X-ray datasets and models
TorchXRayVision is an open source software library for working with ches...
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08/03/2021
OncoNet: Weakly Supervised Siamese Network to automate cancer treatment response assessment between longitudinal FDG PET/CT examinations
FDG PET/CT imaging is a resource intensive examination critical for mana...
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02/18/2021
Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Progressive Exaggeration on Chest X-rays
Motivation: Traditional image attribution methods struggle to satisfacto...
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12/22/2020
Open source software for automatic subregional assessment of knee cartilage degradation using quantitative T2 relaxometry and deep learning
Objective: We evaluate a fully-automated femoral cartilage segmentation ...
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08/07/2018
