Moti Freiman
Orcid: 0000-0003-1083-1548
According to our database1,
Moti Freiman
authored at least 62 papers
between 2005 and 2024.
Collaborative distances:
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Bibliography
2024
CIMIL-CRC: a clinically-informed multiple instance learning framework for patient-level colorectal cancer molecular subtypes classification from H\&E stained images.
CoRR, 2024
IVIM-Morph: Motion-compensated quantitative Intra-voxel Incoherent Motion (IVIM) analysis for functional fetal lung maturity assessment from diffusion-weighted MRI data.
CoRR, 2024
2023
LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images.
CoRR, 2023
Biologically-primed deep neural network improves colorectal Cancer Molecular subtypes prediction from H&E stained images.
CoRR, 2023
P2T2: A physically-primed deep-neural-network approach for robust T2 distribution estimation from quantitative T2-weighted MRI.
Comput. Medical Imaging Graph., 2023
PCMC-T1: Free-Breathing Myocardial T1 Mapping with Physically-Constrained Motion Correction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Uncertainty Assessment in Whole-Body Low Dose Pet Reconstruction Using Non-Parametric Bayesian Deep Learning Approach.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
An Efficient and Accurate Neural Network Tool for Finding Correlation Between Gene Expression and Histological Images.
Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023
Deep Learning-Based Fast MRI Reconstruction: Improving Generalization for Clinical Translation.
Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023
2022
P2T2: a Physically-primed deep-neural-network approach for robust T<sub>2</sub> distribution estimation from quantitative T<sub>2</sub>-weighted MRI.
CoRR, 2022
Physically-primed deep-neural-networks for generalized undersampled MRI reconstruction.
CoRR, 2022
Image translation of Ultrasound to Pseudo Anatomical Display Using Artificial Intelligence.
CoRR, 2022
Development of a multimodal machine-learning fusion model to non-invasively assess ileal Crohn's disease endoscopic activity.
Comput. Methods Programs Biomed., 2022
NPBDREG: Uncertainty assessment in diffeomorphic brain MRI registration using a non-parametric Bayesian deep-learning based approach.
Comput. Medical Imaging Graph., 2022
SUPER-IVIM-DC: Intra-voxel Incoherent Motion Based Fetal Lung Maturity Assessment from Limited DWI Data Using Supervised Learning Coupled with Data-Consistency.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
NPB-REC: Non-parametric Assessment of Uncertainty in Deep-Learning-Based MRI Reconstruction from Undersampled Data.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2022
PD-DWI: Predicting Response to Neoadjuvant Chemotherapy in Invasive Breast Cancer with Physiologically-Decomposed Diffusion-Weighted MRI Machine-Learning Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Gadolinium-Free Crohn's Disease Assessment from Magnetic Resonance Enterography Data.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
qDWI-Morph: Motion-Compensated Quantitative Diffusion-Weighted MRI Analysis for Fetal Lung Maturity Assessment.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
Patient-Level Microsatellite Stability Assessment from Whole Slide Images by Combining Momentum Contrast Learning and Group Patch Embeddings.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
PVBM: A Python Vasculature Biomarker Toolbox Based on Retinal Blood Vessel Segmentation.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
Proceedings of the Computing in Cardiology, 2022
2021
Non Parametric Data Augmentations Improve Deep-Learning based Brain Tumor Segmentation.
CoRR, 2021
NPBDREG: A Non-parametric Bayesian Deep-Learning Based Approach for Diffeomorphic Brain MRI Registration.
CoRR, 2021
2020
Unsupervised Deep-Learning Based Deformable Image Registration: A Bayesian Framework.
CoRR, 2020
2019
Improving CCTA based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation.
CoRR, 2019
Unsupervised Abnormality Detection through Mixed Structure Regularization (MSR) in Deep Sparse Autoencoders.
CoRR, 2019
2017
Motion-robust parameter estimation in abdominal diffusion-weighted MRI by simultaneous image registration and model estimation.
Medical Image Anal., 2017
Proceedings of the Patch-Based Techniques in Medical Imaging, 2017
2016
Spatially-constrained probability distribution model of incoherent motion (SPIM) for abdominal diffusion-weighted MRI.
Medical Image Anal., 2016
Automatic coronary lumen segmentation with partial volume modeling improves lesions' hemodynamic significance assessment.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
2015
Learning Patient-Specific Lumped Models for Interactive Coronary Blood Flow Simulations.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Motion Compensated Abdominal Diffusion Weighted MRI by Simultaneous Image Registration and Model Estimation (SIR-ME).
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Structural and diffusion weighted MRI registration for biomarker fusion in Crohn's disease diagnosis.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2014
Simultaneous Multi-phase Coronary CT Angiography Analysis for Coronary Artery Disease Evaluation.
Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2014
Spatially-Constrained Probability Distribution Model of Incoherent Motion (SPIM) in Diffusion Weighted MRI Signals of Crohn's Disease.
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2014
2013
Reliable estimation of incoherent motion parametric maps from diffusion-weighted MRI using fusion bootstrap moves.
Medical Image Anal., 2013
Spatially Constrained Incoherent Motion (SCIM) Model Improves Quantitative Diffusion-Weighted MRI Analysis of Crohn's Disease Patients.
Proceedings of the Abdominal Imaging. Computation and Clinical Applications, 2013
Improved Multi B-Value Diffusion-Weighted MRI of the Body by Simultaneous Model Estimation and Image Reconstruction (SMEIR).
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
2012
Carotid vasculature modeling from patient CT angiography studies for interventional procedures simulation.
Int. J. Comput. Assist. Radiol. Surg., 2012
Reliable Assessment of Perfusivity and Diffusivity from Diffusion Imaging of the Body.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
2011
fMRI-Based Hierarchical SVM Model for the Classification and Grading of Liver Fibrosis.
IEEE Trans. Biomed. Eng., 2011
Evaluation framework for carotid bifurcation lumen segmentation and stenosis grading.
Medical Image Anal., 2011
A curvelet-based patient-specific prior for accurate multi-modal brain image rigid registration.
Medical Image Anal., 2011
Liver tumors segmentation from CTA images using voxels classification and affinity constraint propagation.
Int. J. Comput. Assist. Radiol. Surg., 2011
Proceedings of the Medical Imaging 2011: Visualization, 2011
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2011
Quantitative Body DW-MRI Biomarkers Uncertainty Estimation Using Unscented Wild-Bootstrap.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Demons registration with local affine adaptive regularization: application to registration of abdominal structures.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
2010
Shape constraint optimization for medical image segmentation and registration (עם תקציר בעברית ושער נוסף: שילוב מידע גיאומטרי בתהליכי אופטימיזציה לצורך סגמנטציה ורגיסטרציה של תמונות רפואיות.).
PhD thesis, 2010
Proceedings of the Medical Imaging 2010: Image Processing, 2010
Non-parametric Iterative Model Constraint Graph min-cut for Automatic Kidney Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010
An iterative model-constrained graph-cut algorithm for abdominal aortic aneurysm thrombus segmentation.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
2009
Proceedings of the Medical Imaging 2009: Image Processing, 2009
A variational method for vessels segmentation: algorithm and application to liver vessels visualization.
Proceedings of the Medical Imaging 2009: Visualization, 2009
Proceedings of the Modelling the Physiological Human, 3D Physiological Human Workshop, 2009
2008
An iterative Bayesian approach for nearly automatic liver segmentation: algorithm and validation.
Int. J. Comput. Assist. Radiol. Surg., 2008
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
Classification of Suspected Liver Metastases Using fMRI Images: A Machine Learning Approach.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
2005
Robot-Assisted Image-Guided Targeting for Minimally Invasive Neurosurgery: Planning, Registration, and In-vitro Experiment.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005