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06/09/2023
FasterViT: Fast Vision Transformers with Hierarchical Attention
We design a new family of hybrid CNN-ViT neural networks, named FasterVi...
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11/04/2022
MONAI: An open-source framework for deep learning in healthcare
Artificial Intelligence (AI) is having a tremendous impact across most a...
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08/22/2022
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation
Split learning (SL) has been proposed to train deep learning models in a...
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06/20/2022
Global Context Vision Transformers
We propose global context vision transformer (GC ViT), a novel architect...
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04/01/2022
UNetFormer: A Unified Vision Transformer Model and Pre-Training Framework for 3D Medical Image Segmentation
Vision Transformers (ViT)s have recently become popular due to their out...
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03/28/2022
RAVIR: A Dataset and Methodology for the Semantic Segmentation and Quantitative Analysis of Retinal Arteries and Veins in Infrared Reflectance Imaging
The retinal vasculature provides important clues in the diagnosis and mo...
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03/22/2022
GradViT: Gradient Inversion of Vision Transformers
In this work we demonstrate the vulnerability of vision transformers (Vi...
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03/18/2022
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation
Cross-silo federated learning (FL) has attracted much attention in medic...
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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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02/14/2022
Do Gradient Inversion Attacks Make Federated Learning Unsafe?
Federated learning (FL) allows the collaborative training of AI models w...
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01/04/2022
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images
Semantic segmentation of brain tumors is a fundamental medical image ana...
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12/20/2021
HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet
Semantic segmentation of 3D medical images is a challenging task due to ...
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11/29/2021
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
Vision Transformers (ViT)s have shown great performance in self-supervis...
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10/06/2021
Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports
Localization and characterization of diseases like pneumonia are primary...
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07/12/2021
The Power of Proxy Data and Proxy Networks for Hyper-Parameter Optimization in Medical Image Segmentation
Deep learning models for medical image segmentation are primarily data-d...
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03/18/2021
UNETR: Transformers for 3D Medical Image Segmentation
Fully Convolutional Neural Networks (FCNNs) with contracting and expansi...
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07/22/2020
End-to-End Trainable Deep Active Contour Models for Automated Image Segmentation: Delineating Buildings in Aerial Imagery
The automated segmentation of buildings in remote sensing imagery is a c...
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06/23/2020
Deep Learning of Unified Region, Edge, and Contour Models for Automated Image Segmentation
Image segmentation is a fundamental and challenging problem in computer ...
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02/11/2020
Edge-Gated CNNs for Volumetric Semantic Segmentation of Medical Images
Textures and edges contribute different information to image recognition...
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01/06/2020
Robust Semantic Segmentation of Brain Tumor Regions from 3D MRIs
Multimodal brain tumor segmentation challenge (BraTS) brings together re...
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09/29/2019
End-to-End Deep Convolutional Active Contours for Image Segmentation
The Active Contour Model (ACM) is a standard image analysis technique wh...
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09/14/2019
3D Kidneys and Kidney Tumor Semantic Segmentation using Boundary-Aware Networks
Automated segmentation of kidneys and kidney tumors is an important step...
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08/21/2019
Boundary Aware Networks for Medical Image Segmentation
Fully convolutional neural networks (CNNs) have proven to be effective a...
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08/19/2019
Deep Active Lesion Segmentation
Lesion segmentation is an important problem in computer-assisted diagnos...
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05/28/2019
Deep Dilated Convolutional Nets for the Automatic Segmentation of Retinal Vessels
The reliable segmentation of retinal vasculature can provide the means t...
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02/18/2019