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08/14/2023
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume
Self-supervised monocular depth estimation methods typically rely on the...
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08/11/2023
Towards Instance-adaptive Inference for Federated Learning
Federated learning (FL) is a distributed learning paradigm that enables ...
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03/28/2023
Learning Federated Visual Prompt in Null Space for MRI Reconstruction
Federated Magnetic Resonance Imaging (MRI) reconstruction enables multip...
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03/23/2023
Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging
Deep learning models have shown promising performance in the field of di...
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03/14/2023
Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment
Medical phrase grounding (MPG) aims to locate the most relevant region i...
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01/30/2023
TrFedDis: Trusted Federated Disentangling Network for Non-IID Domain Feature
Federated learning (FL), as an effective decentralized distributed learn...
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12/01/2022
Reliable Joint Segmentation of Retinal Edema Lesions in OCT Images
Focusing on the complicated pathological features, such as blurred bound...
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03/31/2022
CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow
Optical flow estimation aims to find the 2D motion field by identifying ...
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02/18/2022
REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment
Glaucoma is the second leading cause of blindness and is the leading cau...
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07/10/2021
Few-Shot Domain Adaptation with Polymorphic Transformers
Deep neural networks (DNNs) trained on one set of medical images often e...
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05/20/2021
Medical Image Segmentation using Squeeze-and-Expansion Transformers
Medical image segmentation is important for computer-aided diagnosis. Go...
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07/05/2017
Laplacian-Steered Neural Style Transfer
Neural Style Transfer based on Convolutional Neural Networks (CNN) aims ...
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05/13/2016
