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06/01/2023
Contrastive Learning MRI Reconstruction
Purpose: We propose a novel contrastive learning latent space representa...
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02/28/2023
PixCUE – Joint Uncertainty Estimation and Image Reconstruction in MRI using Deep Pixel Classification
Deep learning (DL) models are capable of successfully exploiting latent ...
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09/16/2022
Hybrid Window Attention Based Transformer Architecture for Brain Tumor Segmentation
As intensities of MRI volumes are inconsistent across institutes, it is ...
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07/18/2022
Multi-head Cascaded Swin Transformers with Attention to k-space Sampling Pattern for Accelerated MRI Reconstruction
Global correlations are widely seen in human anatomical structures due t...
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01/11/2022
Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task
This paper proposes an adversarial learning based training approach for ...
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11/26/2021
A Volumetric Transformer for Accurate 3D Tumor Segmentation
This paper presents a Transformer architecture for volumetric medical im...
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08/25/2021
Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segmentation
Segmentation of images is a long-standing challenge in medical AI. This ...
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07/21/2021
Towards Lower-Dose PET using Physics-Based Uncertainty-Aware Multimodal Learning with Robustness to Out-of-Distribution Data
Radiation exposure in positron emission tomography (PET) imaging limits ...
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07/29/2018