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10/11/2022
Distance Map Supervised Landmark Localization for MR-TRUS Registration
In this work, we propose to explicitly use the landmarks of prostate to ...
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03/12/2022
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation
Federated learning (FL) is a distributed machine learning technique that...
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07/09/2021
Cross-modal Attention for MRI and Ultrasound Volume Registration
Prostate cancer biopsy benefits from accurate fusion of transrectal ultr...
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04/20/2021
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation
Federated learning (FL) enables collaborative model training while prese...
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04/07/2021
Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis
Visual explanation methods have an important role in the prognosis of th...
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11/23/2020
Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan
The recent outbreak of COVID-19 has led to urgent needs for reliable dia...
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07/10/2020
Multi-Domain Image Completion for Random Missing Input Data
Multi-domain data are widely leveraged in vision applications taking adv...
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05/11/2020
Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain Adaptation
Abdominal fat quantification is critical since multiple vital organs are...
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06/07/2019
When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation
Recent advances in deep learning for medical image segmentation demonstr...
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02/17/2018
A Collaborative Computer Aided Diagnosis (C-CAD) System with Eye-Tracking, Sparse Attentional Model, and Deep Learning
There are at least two categories of errors in radiology screening that ...
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03/22/2017
Deeply-Supervised CNN for Prostate Segmentation
Prostate segmentation from Magnetic Resonance (MR) images plays an impor...
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08/10/2016