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05/15/2023
Learning Better Contrastive View from Radiologist's Gaze
Recent self-supervised contrastive learning methods greatly benefit from...
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04/20/2023
Domain Generalization for Mammographic Image Analysis via Contrastive Learning
Mammographic image analysis is a fundamental problem in the computer-aid...
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02/14/2023
ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language Models
Large language models (LLMs) have recently demonstrated their potential ...
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07/19/2022
Image Synthesis with Disentangled Attributes for Chest X-Ray Nodule Augmentation and Detection
Lung nodule detection in chest X-ray (CXR) images is common to early scr...
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04/06/2022
Follow My Eye: Using Gaze to Supervise Computer-Aided Diagnosis
When deep neural network (DNN) was first introduced to the medical image...
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01/12/2022
Knee Cartilage Defect Assessment by Graph Representation and Surface Convolution
Knee osteoarthritis (OA) is the most common osteoarthritis and a leading...
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12/23/2021
Learning Hierarchical Attention for Weakly-supervised Chest X-Ray Abnormality Localization and Diagnosis
We consider the problem of abnormality localization for clinical applica...
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11/21/2021
Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning
Lesion detection is a fundamental problem in the computer-aided diagnosi...
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05/25/2020
mr2NST: Multi-Resolution and Multi-Reference Neural Style Transfer for Mammography
Computer-aided diagnosis with deep learning techniques has been shown to...
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05/19/2020
A Self-ensembling Framework for Semi-supervised Knee Osteoarthritis Localization and Classification with Dual-Consistency
Knee osteoarthritis (OA) is one of the most common musculoskeletal disor...
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05/06/2020
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia
The coronavirus disease (COVID-19) is rapidly spreading all over the wor...
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04/05/2018
Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond
State-of-the-art pedestrian detection models have achieved great success...
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11/07/2017