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Moti Freiman

Multi-Cohort Framework with Cohort-Aware Attention and Adversarial Mutual-Information Minimization for Whole Slide Image Classification

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Sep 17, 2024
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SIMPLE: Simultaneous Multi-Plane Self-Supervised Learning for Isotropic MRI Restoration from Anisotropic Data

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Aug 23, 2024
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MBSS-T1: Model-Based Self-Supervised Motion Correction for Robust Cardiac T1 Mapping

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Aug 21, 2024
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Leveraging Prompt-Learning for Structured Information Extraction from Crohn's Disease Radiology Reports in a Low-Resource Language

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May 02, 2024
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Automated Prediction of Breast Cancer Response to Neoadjuvant Chemotherapy from DWI Data

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Apr 07, 2024
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NPB-REC: A Non-parametric Bayesian Deep-learning Approach for Undersampled MRI Reconstruction with Uncertainty Estimation

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Apr 06, 2024
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A self-attention model for robust rigid slice-to-volume registration of functional MRI

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Apr 06, 2024
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CIMIL-CRC: a clinically-informed multiple instance learning framework for patient-level colorectal cancer molecular subtypes classification from H\&E stained images

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Jan 29, 2024
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IVIM-Morph: Motion-compensated quantitative Intra-voxel Incoherent Motion (IVIM) analysis for functional fetal lung maturity assessment from diffusion-weighted MRI data

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Jan 17, 2024
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LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images

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Sep 11, 2023
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