2023
2022
I. Guez,
G. Focht,
M.L.C. Greer,
R. Cytter-kuint,
L. Pratt,
D.A. Castro,
D. Turner,
A.M. Griffiths,
M. Freiman,
Development of a multimodal machine-learning fusion model to non-invasively assess ileal Crohn’s disease endoscopic activity
J. of Computer Methods and Programs in Biomedicine,
Vol. 227.
December 2022
2021
P.A. van Diemen,
M.J. Bom,
R.S. Driessen,
S.P. Schumacher,
H. Everaars,
R.W. de Winter,
P.M. van de Ven,
M. Freiman,
L. Goshen,
D. Heijtel,
E. Langzam,
J.K. Min,
J.A. Leipsic,
P.G. Raijmakers,
A.C. van Rossum,
I. Danad,
P. Knaapen,
Prognostic Value of RCA Pericoronary Adipose Tissue CT-Attenuation Beyond High-Risk Plaques, Plaque Volume, and Ischemia
J. American College of Cardiology Imaging (JACC_Img),
.
August 2021
2019
2018
2017
2016 and before
R. Hameeteman,
M.A. Zuluaga,
M. Freiman,
L. Joskowicz,
O. Cuisenaire,
L.F. Valencia,
M.A. Gülsün,
K. Krissian,
J. Mille,
W.C. Wong,
M. Orkisz,
H. Tek,
M. H. Hoyos,
F. Benmansour,
A.C. Chung,
S. Rozie,
M. van Gils,
L. van den Borne,
J. Sosna,
P. Berman,
N. Cohen,
P.C. Douek,
I. Sánchez,
M. Aissat,
M. Schaap,
C.T. Metz,
G.P. Krestin,
A. van der Lugt,
W.J. Niessen T. van Walsum,
Evaluation Framework for Carotid Bifurcation Lumen Segmentation and Stenosis Grading
Medical Image Analysis,
Vol. 15(4) 477-488.
January 2011
2024
S. Nitzan,
M. Gilad,
M. Freiman,
Fully Automated Prediction of Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Using Deep Learning
2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology,
Malta
.
December 7-9 2023
2023
Y. Zaffrani-Reznikov,
O. Afacan,
S. Kurugol,
S. Warfield,
M. Freiman,
qDWI-Morph: Motion-compensated quantitative Diffusion-Weighted MRI analysis for fetal lung maturity assessment
32nd Joint Annual ISMRM & ISMRT Meeting and Exhibition,
Toronto, Canada
.
June 3-8 2023
E. Hanania,
L. Barkat,
I. Cohen,
H. Azhari,
M. Freiman,
Deep-learning-based Group-wise Motion Correction for Myocardial T1 Mapping
32nd Joint Annual ISMRM & ISMRT Meeting and Exhibition,
Toronto, Canada
.
June 3-8 2023
M. Gilad,
M. Freiman,
A Physiologically-Decomposed DWI machine-learning model improves prediction of response to NAC treatment in invasive breast cancer
32nd Joint Annual ISMRM & ISMRT Meeting and Exhibition,
Toronto, Canada
.
June 3-8 2023
H. Ben-Atya,
M. Freiman,
Recovery of T2 distribution from quantitative T2-weighted MRI with physically-driven deep learning
32nd Joint Annual ISMRM & ISMRT Meeting and Exhibition,
Toronto, Canada
.
June 3-8 2023
2022
E. Hanania,
L. Barkat,
I. Cohen,
H. Azhari,
M. Freiman,
StyleReg: Style Transfer as Preprocess Step for Myocardial T1 Mapping
Medical Imaging meets NeurIPS workshop,
New Orleans, USA
.
December 2-8 2022
E. Rotman,
O. Afacan,
S. Kurugol,
S. Warfield,
M. Freiman,
SUPER-IVIM-DC, A supervised deep-learning with data consistency approach for IVIM model parameter estimation from Diffusion-Weighted MRI data
32nd Joint Annual ISMRM & ISMRT Meeting and Exhibition,
London, England, UK
.
May 7-12 2022
2021
S. Nemirovsky-Rotman,
E. Rotman,
O. Afacan,
S. Kurugol,
S. Warfield,
M. Freiman,
MELoDee – Multi-Exponential model Learning based on Deep Neural Networks for Quantitative MRI Bio-Markers Estimation
Medical Imaging meets NeurIPS workshop,
Vancouver, Canada
.
December 13-18 2021
I. Guez,
G. Focht,
M.L. Greer,
R. Cytter-Kuint,
L. Pratt,
D. Castro,
D. Turner,
A.M. Griffiths,
M. Freiman,
on behalf of the ImageKids study group,
Machine-Learning Models Improve Magnetic Resonance Enterography based Assessment of Mucosal Healing in Pediatric Crohn's Disease
RSNA 2021,
Chicago, USA
.
November 28 - December 2 2021
S. Nemirovsky-Rotman,
E. Rotman,
O. Afacan,
S. Kurugol,
S. Warfield,
M. Freiman,
MELoDee – Multi-Exponential model Learning based on Deep Neural Networks for Quantitative MRI Bio-Markers Estimation
Israel Machine Vision Conference (IMVC),
Israel
.
October 26 2021
S. Khawaled,
M. Freiman,
Non-Parametric Bayesian Deep-learning Method for Brain MRI Registration
Israel Machine Vision Conference (IMVC),
Israel
.
October 26 2021
I. Guez,
G. Focht,
M.L. Greer,
R. Cytter-Kuint,
L. Pratt,
D. Castro,
D. Turner,
A.M. Griffiths,
M. Freiman,
on behalf of the ImageKids study group,
Development of a Machine-Learning Model to Impute Terminal Ileum Simple Endoscopic Score of Crohn´s Disease (SESCD) using Magnetic Resonance Enterography (MRE)
6th World Congress of Pediatric Gastroenterology, Hepatology and Nutrition,
Vienna, Austria
.
June 10-13 2021
S. Nemirovsky-Rotman,
E. Rotman,
O. Afacan,
S. Kurugol,
S. Warfield,
M. Freiman,
Physically Motivated Deep-Neural Networks of the Intravoxel Incoherent Motion Signal Decay Model for Quantitative Diffusion-Weighted MRI
29th Joint Annual ISMRM & ISMRT Meeting and Exhibition,
Vienna, Austria
.
May 15-20 2021
S. Khawaled,
M. Freiman,
Assessment of Uncertainty in Brain MRI Deformable Registration
29th Joint Annual ISMRM & ISMRT Meeting and Exhibition,
Vienna, Austria
.
May 15-20 2021
P.A. Van Diemen,
M.J. Bom,
R.S. Driessen,
S. Schumacher,
H. Everaars,
R.W. De Winter,
P.M. Van De Ven,
M. Freiman,
E. Langzam,
L. Goshen,
D. Heijtel,
J.K. Min,
J.A. Leipsic,
P.G. Raijmakers,
A.C. Van Rossum,
I. Danad,
P. Knaapen,
The Prognostic Value of Pericoronary Adipose Tissue CT-Attenuation Beyond High-Risk Plaques, Plaque volume, and Myocardial Ischemia
American College of Cardiology Scientific session (ACC),
Virtual
.
May 2021
2020
S. Khawaled,
M. Freiman,
A Bayesian Unsupervised Deep-Learning Based Approach for Deformable Image Registration
Medical Imaging meets NeurIPS workshop,
Vancouver, Canada
.
December 11 2020
P.A. Van Diemen,
M.J. Bom,
R.S. Driessen,
H. Everaars,
R.W. De Winter,
P.M. Van De Ven,
M. Freiman,
L. Goshen,
E. Langzam,
J.K. Min,
J.A. Leipsic,
P.G. Raijmakers,
A.C. Van Rossum,
I. Danad,
P. Knaapen,
Pericoronary Adipose Tissue Attenuation Leads to Improved Prognostication Beyond Atherosclerotic Burden and High-Risk Plaques in Patients with Suspected Coronary Artery Disease
European Association for Cardiovascular Imaging (EACVI) Congress,
Virtual
.
December 4-5 2020
P.A. Van Diemen,
M.J. Bom,
R.S. Driessen,
H. Everaars,
R.W. De Winter,
P.M. Van De Ven,
M. Freiman,
L. Goshen,
E. Langzam,
D. Heijtel,
J.K. Min,
J.A. Leipsic,
P.G. Raijmakers,
A.C. Van Rossum,
I. Danad,
P. Knaapen,
Incremental Prognostic Value of Pericoronary Adipose Tissue Attenuation on Top of Comprehensive CCTA Assessment
European Society of Cardiology (ESC) Congress,
Virtual
.
August 29 - September 1 2020
2018
Y. Lamash,
S. Kurugol,
M. Freiman,
S.K. Warfield,
Semi-Automatic Method for Generating Multiplanar Reformatting Views of MR Post-Contrast T1-Weighted Images for Visualizing and Assessing Pediatric Crohn's Disease
26th Joint Annual ISMRM & ISMRT Meeting and Exhibition,
Paris, France
.
June 16-21 2018
2017
S. Kurugol,
M. Freiman,
J. Goldsmith,
R. Didier,
O. Afacan,
J.M. Perez-Rossello,
M.J. Callahan,
A. Bousvaros,
S.K.Warfield,
Evaluation of Motion-Compensated Spatially Constrained IVIM (MC-SCIM) Model of Diffusion-Weighted MRI for Assessment of Fibrosis in Crohn's Disease Using Surgical Histopathology Scores
26th Joint Annual ISMRM & ISMRT Meeting and Exhibition,
Honolulu, HI, USA
.
May 2017
H. Nickisch,
M. Freiman,
S. Prevrhal,
M. Vembar,
P. Donnely,
P. Maurovich-Horvat,
L. Goshen,
H. Schmitt,
Improved On-Site FFR-CT Accuracy by Coronary Tree Standardisation
The 2017 European Congress of Radiology (ECR 2017),
Vienna, Austria
.
March 2017
2023
M. Levital,
S. Khawaled,
M. Freiman,
Uncertainty assessment in Whole-Body Low Dose PET Reconstruction using Non-parametric Bayesian Deep Learning Approach
IEEE International Symposium on Biomedical Imaging (ISBI),
Cartagena de Indias, Colombia
.
April 18-21, 2023
2022
Y. Zaffrani-Reznikov,
O. Afacan,
S. Kurugol,
S. Warfield,
M. Freiman,
qDWI-Morph: Motion-compensated quantitative Diffusion-Weighted MRI analysis for fetal lung maturity assessment
European Conference on Computer Vision-Medical Computer Vision Workshop (ECCV-MCV),
Tel Aviv, Israel
.
October 23-27, 2022
J. Fhima,
JV. Eijgen,
I. Stalmans,
Y. Men,
M. Freiman,
JA. Behar,
PVBM: A Python Vasculature Biomarker Toolbox Based on Retinal Blood Vessel Segmentation
European Conference on Computer Vision-Medical Computer Vision Workshop (ECCV-MCV),
Tel Aviv, Israel
.
October 23-27, 2022
S. Khawaled,
M. Freiman,
NPB-REC: Non-parametric Assessment of Uncertainty in Deep-Learning-Based MRI Reconstruction from Undersampled Data
Medical Image Computing and Computer Assisted Intervention-Machine Learning for MEdical Image Reconstruction 5th International Workshop – MICCAI-MLMIR,
Singapore
Part of the Lecture Notes in Computer Science book series (LNCS), Vol. 13587, pages 14-23..
September 22, 2022
N. Korngut,
E. Rotman,
O. Afacan,
S. Kurugol,
Y. Zaffrani-Reznikov,
S. Nemirovsky-Rotman,
S. Warfield,
M. Freiman,
SUPER-IVIM-DC: Intra-voxel incoherent motion based Fetal lung maturity assessment from limited DWI data using supervised learning coupled with data-consistency
Medical Image Computing and Computer Assisted Intervention – MICCAI,
Singapore
.
September 18-22, 2022
M. Gilad,
M. Freiman,
PD-DWI: Predicting response to neoadjuvant chemotherapy in invasive breast cancer with Physiologically-Decomposed Diffusion-Weighted MRI machine-learning model
Medical Image Computing and Computer Assisted Intervention – MICCAI,
Singapore
.
September 18-22, 2022
Y. Ziselman,
M. Freiman,
F. Haj ali Shinnawi,
M. Louise-Greer,
G. Foch,
D. Turner,
Gadolinium-free Crohn's disease assessment from Magnetic Resonance Enterography data.
IEEE International Symposium on Biomedical Imaging (ISBI),
Kolkata, India
.
March 28-31, 2022
2021
H. Ben-Atya,
O. Rajchert,
L. Goshen,
M. Freiman,
Non-Parametric Data Augmentations Improve Deep-learning based Brain Tumor Segmentation
IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS),
Tel Aviv, Israel
.
November 1-3, 2021
D. Arava,
M. Masarwy,
S. Khawaled,
M. Freiman,
Deep-Learning based Motion Correction for Myocardial T1 Mapping
IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS),
Tel Aviv, Israel
.
November 1-3, 2021
2017
M. Freiman,
H. Nickisch,
H. Schmitt,
M. Vembar,
P. Maurovich-Horvat,
P.M. Donnelly,
L. Goshen,
Learning a Sparse Database for Patch-Based Medical Image Segmentation
MICCAI 2017 Workshop on Patch-based Techniques in Medical Imaging (PATCH-MI 2017),
Quebec City, Quebec, Canada
Lecture Notes in Computer Science, 10530:47-54, Springer.
September 10-14, 2017