2024
M Kori,
R Buchuk,
O Goldzweig,
YL Weisband,
N Tal,
A Ben-Tov,
N Ledderman,
E Matz,
M Freiman,
I Dotan,
D Turner,
DS Shouval,
Familial Mediterranean Fever In Patients With Inflammatory Bowel Diseases: A Nationwide Study From The Epi-iirn
Rheumatology,
May 2024
O Atia,
R Buchuk,
R Lujan,
S Greenfeld,
R Kariv,
Y Loewenberg Weisband,
N Lederman,
E Matz,
O Ledder,
E Zittan,
H Yanai,
D Shwartz,
M Freiman,
I Dotan,
D Nevo,
D Turner,
Predictors Of Complicated Disease Course In Children Andadults With Ulcerative Colitis: A Nationwide Study From The Epi-iirn
Inflammatory Bowel Diseases,
May 2024
J Fhima,
J Van Eijgen,
M Billen Moulin-Romse,
H Brackenier,
H Kulenovic,
V Debeuf,
M Vangilbergen,
M Freiman,
I Stalmans,
JA Behar,
Lunet: Deep Learning For The Segmentation Of Arterioles And Venules In High Resolution Fundus Images
Physiological Measurement,
May 2024
2023
2022
I Guez,
G Focht,
MC Greer,
R Cytter-Kuint,
L Pratt,
DA Castro,
D Turner,
AM Griffiths,
M Freiman,
Development Of A Multimodal Machine-learning Fusion Model To Non-invasively Assess Ileal Crohns Disease Endoscopic Activity
Computer Methods and Programs in Biomedicine,
December 2022
2021
P Van Diemen,
M Bom,
R Driessen,
S Schumacher,
H Everaars,
R de Winter,
P van de Ven,
M Freiman,
E Langzam,
L Goshen,
D Heijtel,
J Min,
J Leipsic,
P Raijmakers,
A van Rossum,
I Danad,
P Knaapen,
The Prognostic Value Of Pericoronary Adipose Tissue Ct-attenuation Beyond High-risk Plaques, Plaque Volume, And Myocardial Ischemia
Journal of the American College of Cardiology,
May 2021
P Van Diemen,
M Bom,
R Driessen,
H Everaars,
R De Winter,
P Van De Ven,
M Freiman,
L Goshen,
E Langzam,
J Min,
J Leipsic,
P Raijmakers,
A 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 Heart Journal - Cardiovascular Imaging,
January 2021
2020
P Van Diemen,
M Bom,
R Driessen,
H Everaars,
S Schumacher,
R De Winter,
P Van De Ven,
M Freiman,
L Goshen,
D Heitel,
E Langzam,
A Van Rossum,
I Danad,
P Knaapen,
Incremental Prognostic Value Of Pericoronary Adipose Tissue Attenuation On Top Of Comprehensive Ccta Assessment
European Heart Journal,
November 2020
2019
2018
2017
2016 and before
K Hameeteman,
M Zuluaga,
M Freiman,
L Joskowicz,
O Cuisenaire,
LF Valencia,
M Glsn,
K Krissian,
J Mille,
W Wong,
M Orkisz,
H Tek,
MH Hoyos,
F Benmansour,
A Chung,
S Rozie,
M van Gils,
L van den Borne,
J Sosna,
P Berman,
N Cohen,
P Douek,
I Snchez,
M Aissat,
M Schaap,
C Metz,
G Krestin,
A van der Lugt,
W Niessen,
T van Walsum,
Evaluation Framework For Carotid Bifurcation Lumen Segmentation And Stenosis Grading
Medical Image Analysis,
August 2011
K Hameeteman,
M Freiman,
MA Zuluaga,
L Joskowicz,
S Rozie,
MJ Van Gils,
L Van den Borne,
J Sosna,
P Berman,
N Cohen,
P Douek,
I Sanchez,
M Aissat,
A Van der Lugt,
GP Krestin,
WJ Niessen,
T Van Walsum,
Carotid Lumen Segmentation And Stenosis Grading Challenge
The MIDAS Journal,
March 2010
2024
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
2023 ISMRM & ISMRT Annual Meeting,
Toronto, ON, Canada
June 03 - 08, 2023
S Khawaled,
M Freiman,
Npb-rec: Non-parametric Assessment Of Uncertainty In Deep-learning-based Mri Reconstruction From Undersampled Data
2023 ISMRM & ISMRT Annual Meeting,
Toronto, ON, Canada
June 03 - 08, 2023
E Hanania,
L Barkat,
I Cohen,
H Azhari,
M Freiman,
Deep-learning-based Group-wise Motion Correction For Myocardial T1 Mapping
2023 ISMRM & ISMRT Annual Meeting,
Toronto, ON, Canada
June 03 - 08, 2023
M Gilad,
M Freiman,
A Physiologically-decomposed Dwi Machine-learning Model Improves Prediction Of Response To Nac Treatment In Invasive Breast Cancer
2023 ISMRM & ISMRT Annual Meeting,
Toronto, ON, Canada
June 03 - 08, 2023
H Ben-Atya,
M Freiman,
Recovery Of T2 Distribution From Quantitative T2-weighted Mri With Physically-driven Deep Learning
2023 ISMRM & ISMRT Annual Meeting,
Toronto, ON, Canada
June 03 - 08, 2023
2023
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 07 - 09, 2023
R Benisty,
FHA Shinnawi,
M Porat,
A Illivitzki,
M Freiman,
Terminal-ileum Centerline Extraction From Magnetic Resonance Enterography Data Of Crohns Disease Patients*
2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology,
Malta
December 07 - 09, 2023
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
Joint Annual Meeting ISMRM-ESMRMB ISMRT 31st Annual Meeting,
London, England, UK
May 07 - 12, 2022
MF Levital,
S Khawaled,
Y Chen,
JA Kennedy,
M Freiman,
Uncertainty Assessment In Whole-body Low Dose Pet Reconstruction Using Non-parametric Bayesian Deep Learning Approach
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI),
Cartagena, Colombia
April 18 - 21, 2023
2022
" Fhima,
J Van Eijgen,
M Freiman,
I Stalmans,
J A. Behar",
Lirot.ai: A Novel Platform For Crowd-sourcing Retinal Image Segmentations
2022 Computing in Cardiology Conference,
Y Ziselman,
FH Shinnawi,
M Greer,
G Focht,
D Turner,
M Freiman,
Gadolinium-free Crohns Disease Assessment From Magnetic Resonance Enterography Data
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI),
Kolkata, India
March 28 - 31, 2022
2021
HB Atya,
O Rajchert,
L Goshen,
M Freiman,
Non Parametric Data Augmentations Improve Deep-learning Based Brain Tumor Segmentation
2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS),
Tel Aviv, Israel
November 01 - 03, 2021
D Arava,
M Masarwy,
S Khawaled,
M Freiman,
Deep-learning Based Motion Correction For Myocardial T1 Mapping
2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS),
Tel Aviv, Israel
November 01 - 03, 2021
2016 and before
M Freiman,
Y Lamash,
G Gilboa,
H Nickisch,
S Prevrhal,
H Schmitt,
M Vembar,
L Goshen,
Automatic Coronary Lumen Segmentation With Partial Volume Modeling Improves Lesions' Hemodynamic Significance Assessment
SPIE Medical Imaging,
San Diego, California, United States
V Taimouri,
S Kurugol,
S Clancy,
M Freiman,
SK Warfield,
Structural And Diffusion Weighted Mri Registration For Biomarker Fusion In Crohn's Disease Diagnosis
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015),
Brooklyn, NY, USA
April 16 - 19, 2015
M Freiman,
O Pele,
A Hurvitz,
M Werman,
L Joskowicz,
Spectral-based 2d/3d X-ray To Ct Image Rigid Registration
SPIE Medical Imaging,
Lake Buena Vista, Florida
M Freiman,
SD Voss,
SK Warfield,
Demons Registration With Local Affine Adaptive Regularization: Application To Registration Of Abdominal Structures
2011 8th IEEE International Symposium on Biomedical Imaging (ISBI 2011),
Chicago, IL, USA
March 30 - 02, 2011
M Freiman,
Y Sela,
Y Edrei,
O Pappo,
L Joskowicz,
R Abramovitch,
Multi-class Svm Model For Fmri-based Classification And Grading Of Liver Fibrosis
SPIE Medical Imaging,
San Diego, California, USA
O Cooper,
M Freiman,
L Joskowicz,
D Lischinski,
Affinity-based Constraint Optimization For Nearly-automatic Vessel Segmentation
SPIE Medical Imaging,
San Diego, California, USA
,
2016 and before
MN Safran,
M Freiman,
M Werman,
L Joskowicz,
Curvelet-based Sampling For Accurate And Efficient Multimodal Image Registration
SPIE Medical Imaging,
Lake Buena Vista, FL
M Freiman,
L Joskowicz,
J Sosna,
A Variational Method For Vessels Segmentation: Algorithm And Application To Liver Vessels Visualization
SPIE Medical Imaging,
Lake Buena Vista, FL
M Freiman,
Y Edrei,
E Gross,
L Joskowicz,
R Abramovitch,
Liver Metastasis Early Detection Using Fmri Based Statistical Model
2008 5th IEEE International Symposium on Biomedical Imaging (ISBI 2008),
Paris, France
May 14 - 17, 2008
2023
D Shats,
H Hezi,
G Shani,
YE Maruvka,
M Freiman,
Patient-level Microsatellite Stability Assessment Fromwhole Slide Images Bycombining Momentum Contrast Learning Andgroup Patch Embeddings
Lecture Notes in Computer Science,
G Shani,
M Freiman,
YE Maruvka,
An Efficient Andaccurate Neural Network Tool Forfinding Correlation Between Gene Expression Andhistological Images
Lecture Notes in Computer Science,
E Hanania,
I Volovik,
L Barkat,
I Cohen,
M Freiman,
Pcmc-t1: Free-breathing Myocardial T1 Mapping Withphysically-constrained Motion Correction
Lecture Notes in Computer Science,
J Fhima,
JV Eijgen,
I Stalmans,
Y Men,
M Freiman,
JA Behar,
Pvbm: A Python Vasculature Biomarker Toolbox Based Onretinal Blood Vessel Segmentation
Lecture Notes in Computer Science,
N Avidan,
M Freiman,
Deep Learning-based Fast Mri Reconstruction: Improving Generalization Forclinical Translation
Lecture Notes in Computer Science,
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
Lecture Notes in Computer Science,
M Gilad,
M Freiman,
Pd-dwi: Predicting Response Toneoadjuvant Chemotherapy Ininvasive Breast Cancer Withphysiologically-decomposed Diffusion-weighted Mri Machine-learning Model
Lecture Notes in Computer Science,
2017
M Freiman,
H Nickisch,
H Schmitt,
P Maurovich-Horvat,
P Donnelly,
M Vembar,
L Goshen,
Learning A Sparse Database For Patch-based Medical Image Segmentation
Lecture Notes in Computer Science,
2016 and before
H Nickisch,
Y Lamash,
S Prevrhal,
M Freiman,
M Vembar,
L Goshen,
H Schmitt,
Learning Patient-specific Lumped Models For Interactive Coronary Blood Flow Simulations
Lecture Notes in Computer Science,
Y Lamash,
M Freiman,
L Goshen,
Simultaneous Multi-phase Coronary Ct Angiography Analysis For Coronary Artery Disease Evaluation
Lecture Notes in Computer Science,
V Taimouri,
M Freiman,
O Afacan,
SK Warfield,
Spatially Constrained Incoherent Motion (scim) Model Improves Quantitative Diffusion-weighted Mri Analysis Of Crohns Disease Patients
Lecture Notes in Computer Science,
M Freiman,
O Afacan,
RV Mulkern,
SK Warfield,
Improved Multi B-value Diffusion-weighted Mri Of The Body By Simultaneous Model Estimation And Image Reconstruction (smeir)
Lecture Notes in Computer Science,
M Freiman,
SD Voss,
SK Warfield,
Abdominal Images Non-rigid Registration Using Local-affine Diffeomorphic Demons
Lecture Notes in Computer Science,
M Freiman,
SD Voss,
RV Mulkern,
JM Perez-Rossello,
SK Warfield,
Quantitative Body Dw-mri Biomarkers Uncertainty Estimation Using Unscented Wild-bootstrap
Lecture Notes in Computer Science,
M Freiman,
A Kronman,
SJ Esses,
L Joskowicz,
J Sosna,
Non-parametric Iterative Model Constraint Graph Min-cut For Automatic Kidney Segmentation
Lecture Notes in Computer Science,
M Freiman,
N Broide,
M Natanzon,
E Nammer,
O Shilon,
L Weizman,
L Joskowicz,
J Sosna,
Vessels-cut: A Graph Based Approach To Patient-specific Carotid Arteries Modeling
Lecture Notes in Computer Science,
M Freiman,
Y Edrei,
Y Sela,
Y Shmidmayer,
E Gross,
L Joskowicz,
R Abramovitch,
Classification Of Suspected Liver Metastases Using Fmri Images: A Machine Learning Approach
Lecture Notes in Computer Science,
R Shamir,
M Freiman,
L Joskowicz,
M Shoham,
E Zehavi,
Y Shoshan,
Robot-assisted Image-guided Targeting For Minimally Invasive Neurosurgery: Planning, Registration, And In-vitro Experiment
Lecture Notes in Computer Science,