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09/11/2023
LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images
The retina is the only part of the human body in which blood vessels can...
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08/22/2023
PCMC-T1: Free-breathing myocardial T1 mapping with Physically-Constrained Motion Correction
T1 mapping is a quantitative magnetic resonance imaging (qMRI) technique...
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03/26/2023
Biologically-primed deep neural network improves colorectal Cancer Molecular subtypes prediction from H E stained images
Colorectal cancer (CRC) molecular subtypes play a crucial role in determ...
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12/08/2022
P2T2: a Physically-primed deep-neural-network approach for robust T_2 distribution estimation from quantitative T_2-weighted MRI
Estimation of the T2 distribution from multi-echo T2-Weighted MRI (T2W) ...
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08/31/2022
Physically-primed deep-neural-networks for generalized undersampled MRI reconstruction
A plethora of deep-neural-networks (DNN) based methods were proposed ove...
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08/22/2022
Patient-level Microsatellite Stability Assessment from Whole Slide Images By Combining Momentum Contrast Learning and Group Patch Embeddings
Assessing microsatellite stability status of a patient's colorectal canc...
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08/22/2022
Lirot.ai: A Novel Platform for Crowd-Sourcing Retinal Image Segmentations
Introduction: For supervised deep learning (DL) tasks, researchers need ...
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08/21/2022
qDWI-Morph: Motion-compensated quantitative Diffusion-Weighted MRI analysis for fetal lung maturity assessment
Quantitative analysis of fetal lung Diffusion-Weighted MRI (DWI) data sh...
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08/08/2022
NPB-REC: Non-parametric Assessment of Uncertainty in Deep-learning-based MRI Reconstruction from Undersampled Data
Uncertainty quantification in deep-learning (DL) based image reconstruct...
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07/31/2022
PVBM: A Python Vasculature Biomarker Toolbox Based On Retinal Blood Vessel Segmentation
Introduction: Blood vessels can be non-invasively visualized from a digi...
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06/12/2022
PD-DWI: Predicting response to neoadjuvant chemotherapy in invasive breast cancer with Physiologically-Decomposed Diffusion-Weighted MRI machine-learning model
Early prediction of pathological complete response (pCR) following neoad...
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06/08/2022
SUPER-IVIM-DC: Intra-voxel incoherent motion based Fetal lung maturity assessment from limited DWI data using supervised learning coupled with data-consistency
Intra-voxel incoherent motion (IVIM) analysis of fetal lungs Diffusion-W...
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02/16/2022
Image translation of Ultrasound to Pseudo Anatomical Display Using Artificial Intelligence
Ultrasound is the second most used modality in medical imaging. It is co...
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11/25/2021
Non Parametric Data Augmentations Improve Deep-Learning based Brain Tumor Segmentation
Automatic brain tumor segmentation from Magnetic Resonance Imaging (MRI)...
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08/15/2021
NPBDREG: A Non-parametric Bayesian Deep-Learning Based Approach for Diffeomorphic Brain MRI Registration
Quantification of uncertainty in deep-neural-networks (DNN) based image ...
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08/10/2020
Unsupervised Deep-Learning Based Deformable Image Registration: A Bayesian Framework
Unsupervised deep-learning (DL) models were recently proposed for deform...
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06/25/2019
Learning a sparse database for patch-based medical image segmentation
We introduce a functional for the learning of an optimal database for pa...
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06/24/2019
Improving CCTA based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation
Purpose: The goal of this study was to assess the potential added benefi...
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02/28/2019