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07/11/2023
Rad-ReStruct: A Novel VQA Benchmark and Method for Structured Radiology Reporting
Radiology reporting is a crucial part of the communication between radio...
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03/24/2023
Prior-RadGraphFormer: A Prior-Knowledge-Enhanced Transformer for Generating Radiology Graphs from X-Rays
The extraction of structured clinical information from free-text radiolo...
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03/23/2023
Xplainer: From X-Ray Observations to Explainable Zero-Shot Diagnosis
Automated diagnosis prediction from medical images is a valuable resourc...
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03/21/2023
Semantic Latent Space Regression of Diffusion Autoencoders for Vertebral Fracture Grading
Vertebral fractures are a consequence of osteoporosis, with significant ...
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07/15/2022
CheXplaining in Style: Counterfactual Explanations for Chest X-rays using StyleGAN
Deep learning models used in medical image analysis are prone to raising...
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06/16/2022
U-PET: MRI-based Dementia Detection with Joint Generation of Synthetic FDG-PET Images
Alzheimer's disease (AD) is the most common cause of dementia. An early ...
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03/30/2022
Interpretable Vertebral Fracture Diagnosis
Do black-box neural network models learn clinically relevant features fo...
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03/29/2022
Few-shot Structured Radiology Report Generation Using Natural Language Prompts
Chest radiograph reporting is time-consuming, and numerous solutions to ...
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03/21/2022
Longitudinal Self-Supervision for COVID-19 Pathology Quantification
Quantifying COVID-19 infection over time is an important task to manage ...
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07/29/2021
U-GAT: Multimodal Graph Attention Network for COVID-19 Outcome Prediction
During the first wave of COVID-19, hospitals were overwhelmed with the h...
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03/19/2021
GLOWin: A Flow-based Invertible Generative Framework for Learning Disentangled Feature Representations in Medical Images
Disentangled representations can be useful in many downstream tasks, hel...
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03/12/2021
Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs
Chest computed tomography (CT) has played an essential diagnostic role i...
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08/12/2020
Continual Class Incremental Learning for CT Thoracic Segmentation
Deep learning organ segmentation approaches require large amounts of ann...
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05/02/2020
