2025
A Zehavi-Lenz,
E Hanania,
I Volovik,
M Freiman,
MBSS-T1: An AI-Based Motion Correction Technique for Robust Cardiac T1 Mapping in Breath-Hold and Free-Breathing Conditions - Test-Retest Repeatability Assessment
the 111th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA), Chicago IL, USA, November 2025,
N Gavrielov,
M Gawie-Rotman,
AR Zeina,
R Shreter,
E Maor-Sagie,
R Gabbay-Benziv,
M Freiman,
Physically-Primed AI-Enhanced IVIM Analysis of Placental Diffusion-Weighted MRI Reveals Functional Differences in LGA Pregnancies Associated With Maternal Diabetes
the 111th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA), Chicago IL, USA, November 2025,
H Ben Atya,
Z Badash,
N Gavrielov,
G Focht,
R Cytter-Kuint,
T Hagopian,
D Turner,
M Freiman,
Agent-Based Uncertainty Awareness Improves Automated Radiology Report Labeling With an Open-Source Large Language Model
the 111th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA), Chicago IL, USA, November 2025,
,
2025
N Kertes,
M Freiman,
SMC-DTI: Simultaneous Motion Correction And DTI Parameter Estimation Via Unsupervised Deep Learning Framework
the 2025 ISMRM Annual Meeting, May 2025. Hawaii,
R Benisty,
Y Shteynman,
M Porat,
A Illivitzki,
M Freiman,
Isotropic Abdominal MRI Restoration From Anisotropic Data Using Generative Multi-Plane Deep Learning
the 2025 ISMRM Annual Meeting, May 2025. Hawaii,
Z Badash,
N Gavrielov,
T Hagopian,
R Cytter Kuint,
I Dotan,
Y Loewenberg Weisband,
A Ben-Tov,
G Zacay,
E Matz,
G Focht,
D Turner,
M Freiman,
Machine Learning-Based Interpretation of Unstructured Radiology Reports for Objective Scoring of Inflammation and Stenosis in IBD: A Nationwide Study From the epi-IIRN
the 2025 ECCO-IBD Annual Congress, February 2025. Berlin, Germany,
N Gavrielov,
M Gawie-Rotman,
AR Zeina,
R Shreter,
E Maor-Sagie,
R Gabbay-Benziv,
M Freiman,
Physically-Informed Deep Learning for Robust IVIM Quantification in Placental Diffusion MRI: Detecting Functional Alterations in Maternal Diabetes
the 2025 ESMRMB Annual Meeting, Oct. 2025. Marseille, France (Oral presentation),
2024
N Kertes,
M Freiman,
Manifold-Aware Swin UNET Transformer for High-Fidelity Diffusion Tensor Imaging from Six Directions
the 2024 ISMRM Annual Meeting, May 2024. Singapore,
E Hannania,
I Volovik,
I Cohen,
M Freiman,
Physically and Anatomically Constrained Self-Supervised Motion Correction for Free-Breathing Cardiac T1 Mapping
the 2024 ISMRM Annual Meeting, May 2024. Singapore (Oral presentation, ISMRM MERIT AWARD Summa Cum Laude),
L Brock,
H Ben-Atya,
G Saar,
L Folle,
A Maier,
K Vandoorne,
M Freiman,
T2 Distribution Analysis of Inflamed Bone Marrow Compartments in MR Images with Quantitative T2-mapping
the 2024 ISMRM Annual Meeting, May 2024. Singapore,
N Kertes,
Y Zaffrani-Reznikov,
O Afacan,
S Kurugol,
SK Warfield,
M Freiman,
IVIM-Morph: Motion-Compensated Quantitative Intra-Voxel Incoherent Motion (IVIM) Analysis for Functional Fetal Lung Maturity Assessment from Diffusion-Weighted MRI Data
the 2024 ISMRM Workshop on Moving Forward with Intravoxel Incoherent Motion Modeling for Diffusion-Weighted MRI: An Attempt at Consensus, March 2024. Erlangen, Germany,
L Hazan,
G Focht,
N Gavrielov,
R Reichart,
C Friss,
R Cytter Kuint,
D Turner,
M Freiman,
Harnessing Natural Language Processing for Structured Information Extraction from Radiology Reports in Crohn's Disease: A Nationwide Study From the epi-IIRN
the 2024 ECCO-IBD Annual Congress, February 2024. Stockholm, Sweden,
E Hannania,
I Volovik,
L Barkat,
I Cohen,
M Freiman,
PCMC-T1: Free-breathing myocardial T1 mapping with Physically-Constrained Motion Correction
the 2024 Israel Machine Vision Conference (IMVC), Apr. 2024, Tel-Aviv, Israel (Oral presentation),
2023
Y Zaffrani-Reznikov,
O Afacan,
S Kurugol,
SK Warfield,
M Freiman,
qDWI-Morph: Motion-compensated quantitative Diffusion-Weighted MRI analysis for fetal lung maturity assessment
the 2023 ISMRM Annual Meeting, June 2023. Toronto, ON, Canada,
S Khawaled,
M Freiman,
NPB-REC: Non-parametric Assessment of Uncertainty in Deep-learning-based MRI Reconstruction from Undersampled Data
the 2023 ISMRM Annual Meeting, June 2023. Toronto, ON, Canada,
E Hannania,
L Barkat,
M Freiman,
Deep-learning-based Group-wise Correction for Myocardial T1 Mapping
the 2023 ISMRM Annual Meeting, June 2023. Toronto, ON, Canada,
M Gilad,
M Freiman,
A Physiologically-Decomposed DWI Machine-Learning Model Improves Prediction Of Response To NAC Treatment In Invasive Breast Cancer
the 2023 ISMRM Annual Meeting, June 2023. Toronto, ON, Canada,
H Ben-Atya,
M Freiman,
P2T2: a Physically-primed deep-neural-network approach for robust T2 distribution estimation from quantitative T2-weighted MRI
the 2023 ISMRM Annual Meeting, June 2023. Toronto, ON, Canada,
L Brock,
H Ben-Atya,
G Saar,
L Folle,
A Maier,
M Freiman,
K Vandoorne,
Deep Learning based T2 distribution estimation for bone marrow characterization in inflammation and aging
the 2023 EMIM Annual Meeting, March 2023. Salzburg, Austria,
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, 2023, pp. 61-62 (Oral presentation),
R Benisty,
F Haj Ali Shinnawi,
M Poart,
A Ilivitzki,
M Freiman,
Terminal-ileum Centerline Extraction from Magnetic Resonance Enterography Data of Crohn's Disease Patients
2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, Malta, 2023, pp. 59-60 (Oral presentation),
2022
F Haj Ali Shinnawi,
M Freiman,
A Ang,
Y Zaffrani,
A Ilivitzki,
Curved Planar Reformatting Of The Small Bowel for Visualization and Quantitative Assessment of Crohn’s Disease from MRE– A Pilot Study
the 2021 Israel Radiological Association annual meeting (ISRA), May 2022, Eilat, Israel (Oral presentation),
E Rotman,
O Afacan,
S Kurugol,
SK Warfield,
M Freiman,
SUPER-IVIM-DC, A supervised deep-learning with data consistency approach for IVIM model parameter estimation from Diffusion-Weighted MRI data
the 2022 ISMRM Annual Meeting, May 2022, London, UK,
I Guez,
G Focht,
ML Greer,
R Cytter-Kuint,
L Pratt,
D Castro,
D Turner,
AM Griffiths,
M Freiman,
Machine-learning Models Based On Magnetic Resonance Enterography (MRE) Improves The Assessment Of Mucosal Healing In Pediatric Crohn's Disease (CD)
the 2021 Israel Radiological Association annual meeting (ISRA), May 2022, Eilat, Israel (Oral presentation),
E Hanania,
L Barkat,
I Cohen,
H Azhari,
M Freiman,
StyleReg - Style Transfer as a Preprocess Step for Myocardial T1 Mapping
Medical Imaging Meet NeurIPS workshop, The thirty-sixth Conference on Neural Information Processing Systems (NeurIPS) 2022, New Orleans, LA, USA (virtual), Dec. 2022,
N Avidan,
M Freiman,
Physically-primed deep-neural-networks for generalized undersampled MRI reconstruction
Medical Imaging Meet NeurIPS workshop, The thirty-sixth Conference on Neural Information Processing Systems (NeurIPS) 2022, New Orleans, LA, USA (virtual), Dec. 2022,
2021
I Guez,
G Focht,
ML Greer,
R Cytter-Kuint,
L Pratt,
D Castro,
D Turner,
AM Griffiths,
M Freiman,
Machine-learning Models Based On Magnetic Resonance Enterography (MRE) Improves The Assessment Of Mucosal Healing In Pediatric Crohn's Disease (CD)
the 107th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA), Chicago IL, USA, November 2021,
I Guez,
G Focht,
ML Greer,
R Cytter-Kuint,
L Pratt,
D Castro,
D Turner,
AM Griffiths,
M Freiman,
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, June 2021, Vienna, Austria (Virtual) (Oral presentation),
S Nemirovsky-Rotman,
E Rotman,
O Afacan,
S Kurugol,
SK Warfield,
M Freiman,
Physically Motivated Deep-Neural Networks of the Intravoxel Incoherent Motion Signal Decay Model for Quantitative Diffusion-Weighted MRI
the 2021 ISMRM Annual Meeting, May 2021 (Virtual),
S Khawaled,
M Freiman,
Assessment of Uncertainty in Brain MRI Deformable Registration
the 2021 ISMRM Annual Meeting, May 2021 (Virtual),
PA Van Diemen,
MJ Bom,
RS Driessen,
S Schumacher,
H Everaars,
RW De Winter,
PM Van De Ven,
M Freiman,
E Langzam,
L Goshen,
D Heijtel,
JK Min,
JA Leipsic,
PG Raijmakers,
AC 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), May 2021 (virtual),
S Nemirovsky-Rotman,
E Rotman,
O Afacan,
S Kurugol,
SK Warfield,
M Freiman,
Physically Motivated Deep-Neural Networks of the Intravoxel Incoherent Motion Signal Decay Model for Quantitative Diffusion-Weighted MRI
the 2021 Israel Machine Vision Conference (IMVC), Oct. 2021, Tel-Aviv, Israel (Oral presentation),
S Khawaled,
M Freiman,
NPBDREG: A Non-parametric Bayesian deep-learning based approach for diffeomorphic brain MRI registration
the 2021 Israel Machine Vision Conference (IMVC), Oct. 2021, Tel-Aviv, Israel (Oral presentation),
2020
S Khawaled,
M Freiman,
A Bayesian Unsupervised Deep-Learning Based Approach for Deformable Image Registration, Medical Imaging Meet NeurIPS workshop, The thirty-fourth Conference on Neural Information Processing Systems (NeurIPS) 2020, Vancouver, Canada (virtual), Dec. 2020 (Oral presentation)
,
PA Van Diemen,
MJ Bom,
RS Driessen,
H Everaars,
SP Schumacher,
RW De Winter,
PM Van De Ven,
M Freiman,
L Goshen,
D Heijtel,
E Langzam,
AC 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, Aug. 2020 (virtual).,
PA Van Diemen,
MJ Bom,
RS Driessen,
S Schumacher,
H Everaars,
RW De Winter,
PM Van De Ven,
M Freiman,
L Goshen,
E Langzam,
D Heijtel,
JK Min,
JA Leipsic,
PG Raijmakers,
AC 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, Dec. 2020 (virtual),
2018
Y Lamash,
S Kurugol,
M Freiman,
SK Warfield,
Semi-automatic method for generating multiplanar reformatting views of MR post-contrast T1-weighted images for visualizing and assessing pediatric Crohn's disease
the 26th ISMRM Annual Meeting, Paris, France, June 2018,
2017
S Kurugol,
M Freiman,
J Goldsmith,
R Didier,
O Afacan,
JM Perez-Rossello,
MJ Callahan,
A Bousvaros,
SK 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
the 25th ISMRM Annual Meeting, Honolulu, HI, USA, May 2017,
H Nickisch,
M Freiman,
S Prevrhal,
M Vembar,
P Donnelly,
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,
2016 and before
S Kurugol,
M Freiman,
O Afacan,
L Domachevsky,
JM Perez-Rossello,
MJ Callahan,
SK Warfield,
Correcting for the Effect of Motion using Simultaneous Image Registration and Model Estimation (SIR-ME) in Abdominal DW-MRI
the 24th ISMRM Annual Meeting, Singapore, May 2016,
V Taimouri,
M Freiman,
SK Warfield,
Spatially-Constrained Incoherent Motion (SCIM) Model improves the robustness of fast and slow diffusion parameter estimation from DW-MRI data
the 23rd ISMRM Annual Meeting, Toronto, Ontario, Canada, May 2015,
S Kurugol,
O Afacan,
M Freiman,
JM Perez-Rossello,
MJ Callahan,
SK Warfield,
A Spatially constrained Probability distribution model of Incoherent Motion (SPIM) improves longitudinal reproducibility of quantitative diffusion weighted MRI
the 23rd ISMRM Annual Meeting, Toronto, Ontario, Canada, May 2015,
S Kurugol,
O Afacan,
M Freiman,
JM Perez-Rossello,
MJ Callahan,
SK Warfield,
A Spatially constrained Probability distribution model of Incoherent Motion (SPIM) in Quantitative Diffusion Weighted MRI
the 23rd ISMRM Annual Meeting, Toronto, Ontario, Canada, May 2015 (ISMRM MERIT AWARD magna cum laude, Top diffusion abstracts in ISMRM award),
M Freiman,
O Afacan,
RV Mulkern,
SK Warfield,
Simultaneous Model Estimation and Image Reconstruction (SMEIR) to improve Multi b-Value body Diffusion-Weighted imaging
the 22nd ISMRM Annual Meeting, Milan, Italy, May 2014,
M Freiman,
JM Perez-Rossello,
MJ Callahan,
RV Mulkern,
SD Voss,
SK Warfield,
Spatially constrained model of body Diffusion-Weighted MRI signal decay increase parameter estimates precision
the 21st ISMRM Annual Meeting, Salt Lake City, Utah, USA, April 2013,
M Freiman,
JM Perez-Rossello,
MJ Callahan,
ME Bittman,
RV Mulkern,
A Bousvaros,
SK Warfield,
Incoherent Motion analysis of Crohn's ileitis DW-MRI reveals group differences in both fast and slow diffusion
the 21st ISMRM Annual Meeting, Salt Lake City, Utah, USA, April 2013,
M Freiman,
JM Perez-Rossello,
MJ Callahan,
M Bittman,
RV Mulkern,
A Bousvaros,
SK Warfield,
Characterization of Fast and Slow Diffusion from Diffusion-weighted MRI of Pediatric Crohn's Disease
the 98th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA), Chicago IL, USA, November 2012 (Oral presentation),
M Freiman,
JM Perez-Rossello,
MJ Callahan,
M Bittman,
SD Voss,
RV Mulkern,
SK Warfield,
Impact of the noise model on intra-voxel incoherent motion (IVIM) parameter estimates in abdominal DW-MRI
the 20th ISMRM Annual Meeting, Melbourne, Australia, May 2012,
M Freiman,
JM Perez-Rossello,
MJ Callahan,
RV Mulkern,
SD Voss,
SK Warfield,
In-vivo reliability assessment of Intravoxel incoherent motion diffusion weighted MRI parameters
the 20th ISMRM Annual Meeting, Melbourne, Australia, May 2012 (Oral presentation),
M Freiman,
JM Perez-Rossello,
MJ Callahan,
M Bittman,
RV Mulkern,
A Bousvaros,
SK Warfield,
Quantitative Diffusion Weighted MRI biomarkers for the evaluation of Crohn's ileitis
the 20th ISMRM Annual Meeting, Melbourne, Australia, May 2012,
M Bittman,
M Freiman,
MJ Callahan,
JM Perez-Rossello,
SK Warfield,
Diffusion-weighted imaging (DWI) biomarkers for the evaluation of Crohn's Ileitis
Pediatric Radiology, 2012; 42(Suppl 2):S261-262,
M Freiman,
SD Voss,
RV Mulkern,
SK Warfield,
NdH/dT: A new quantitative measure for Diffusion Weighted Imaging based evaluation of abdominal tumor response to therapy
the 19th ISMRM Annual Meeting, Montréal, Canada, May 2011,
M Freiman,
A Kronman,
SJ Esses,
L Joskowicz,
J Sosna,
Fully automatic segmentation of the kidney in CT images: a shape constrained Expectation Maximization approach
24th Int. Conf. Computer-Assisted Radiology and Surgery, Geneva, Switzerland. In: Int. J. of Computer-Aided Radiology and Surgery, Springer, Vol. 5 Supplement 1, S82, 2010,
M Freiman,
O Cooper,
D Lischinski,
L Joskowicz,
Liver tumors segmentation from CTA images using voxels classification and affinity constraint propagation
24th Int. Conf. Computer-Assisted Radiology and Surgery, Geneva, Switzerland. In: Int. J. of Computer-Aided Radiology and Surgery, Springer, Vol. 5 Supplement 1, S282, 2010,
M Freiman,
E Nammer,
O Shilon,
L Joskowicz,
J Sosna,
Interventional endovascular procedures simulation with patient-specific carotid arteries models generated from CTA scans
24th Int. Conf. Computer-Assisted Radiology and Surgery, Geneva, Switzerland. In: Int. J. of Computer-Aided Radiology and Surgery, Springer, Vol. 5 Supplement 1, S11, 2010,
L Weizman,
M Freiman,
L Joskowicz,
Implementation of weighted Dijkstra’s shortest-path algorithm for n-D images
The Insight journal, 2009,
J Sosna,
N Lev-Cohen,
N Broide,
M Natanzon,
M Freiman,
L Joskowicz,
Min-Cut Method for Liver Vessel Segmentation from MDCT: Algorithm Assessment and Verification
Proc. 95th Radiological Society of North America Annual Meeting, RSNA'09, Chicago, USA, 2009,
M Freiman,
M Natanzon,
N Broide,
L Joskowicz,
L Weizman,
E Nammer,
O Shilon,
Patient-specific modeling of the carotid arteries for surgical simulation
23rd Int. Conf. Computer-Assisted Radiology and Surgery, Berlin, Germany. In: Int. J. of Computer-Aided Radiology and Surgery, Springer, Vol. 4 Supplement 1, S81, 2009,
M Freiman,
J Frank,
L Weizman,
E Nammer,
O Shilon,
L Joskowicz,
J Sosna,
Nearly automatic vessels segmentation using graph-based energy minimization
Proc. 3D Segmentation in the Clinic: A Grand Challenge III workshop, 12th Int. Conf. on Medical Image Computing and Computer-Assisted Intervention, London, UK, 2009,
M Freiman,
O Eliassaf,
Y Taieb,
L Joskowicz,
Y Azraq,
J Sosna,
An iterative Bayesian approach for liver segmentation: algorithm and clinical validation study
22nd Int. Conf. Computer-Assisted Radiology and Surgery, Barcelona, Spain. In: Int. J. of Computer-Aided Radiology and Surgery, Springer, Vol. 3 Supplement 1, S125, June 2008,
O Eliassaf,
Y Taieb,
M Freiman,
L Joskowicz,
J Sosna,
An iterative Bayesian approach for liver analysis: tumors validation study
Proc. 3D Segmentation in the Clinic: A Grand Challenge II workshop, 11th Int. Conf. on Medical Image Computing and Computer-Assisted Intervention, New York, USA, 2008,
R Shamir,
M Freiman,
L Joskowicz,
E Zehavi,
F Umansky,
Y Shoshan,
Surface-based preoperative CT/MRI to intraoperative face scan registration: a clinical study
21st Int. Conf. Computer-Assisted Radiology and Surgery, Berlin, Germany. In: Int. J. of Computer-Aided Radiology and Surgery, Springer, Vol. 2 Supplement 1, S209, June 2007,
M Freiman,
L Joskowicz,
D Lischinski,
J Sosna,
A feature-based transfer function for liver visualization
21st Int. Conf. Computer-Assisted Radiology and Surgery, Berlin, Germany. In: Int. J. of Computer-Aided Radiology and Surgery, Springer, Vol. 2 Supplement 1, s126, June 2007,
M Freiman,
Y Edrei,
R Abramovitch,
L Joskowicz,
Computer-assisted early detection of liver metastases from fMRI maps
21st Int. Conf. Computer-Assisted Radiology and Surgery, Berlin, Germany. In: Int. J. of Computer-Aided Radiology and Surgery, Springer, Vol. 2 Supplement 1, S381, June 2007,
R Shamir,
M Freiman,
L Joskowicz,
M Shoham,
E Zehavi,
Y Shoshan,
Robot-assisted image-guided targeting for minimally invasive neurosurgery: intraoperative robot positioning and targeting experiment
Proc. Medical Robotics workshop, 9th Int. Conf. on Medical Image Computing and Computer-Assisted Intervention, Denmark, 2006,
2026
T Shor,
M Freiman,
C Baskin,
AM Bronstein,
T1-PILOT: Physics-Informed Learned Optimized Trajectories for T1 Mapping Acceleration,
Proc. Medical Imaging with Deep Learning (MIDL 2026),
S Peled,
YE Maruvka,
M Freiman,
PSA-MIL: A Probabilistic Spatial Attention-Based Multiple Instance Learning for Whole Slide Image Classification,
The IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2026),
H Ben-Atya,
N Abramenkov,
N Mashiah,
L Brock,
D Link-Sourani,
R Weiss,
M Freiman,
Bootstrapped Physically-Primed Neural Networks for Robust T2 Distribution Estimation in Low-SNR Pancreatic MRI,
\em Proc,
Ben-Atya H, Abramenkov N, Mashiah N, Brock L, Link-Sourani D, Weiss R, Freiman M, Bootstrapped Physically-Primed Neural Networks for Robust T2 Distribution Estimation in Low-SNR Pancreatic MRI,
Proc. Medical Imaging with Deep Learning (MIDL 2026),
2025
R Benisty,
Y Shteinman,
M Porat,
A Ilivitzki,
M Freiman,
SIMPLE: Simultaneous Multi-Plane Self-Supervised Learning for Isotropic MRI Restoration from Anisotropic Data,
Proc. 2025 Int. Conf. Medical Image Computing and Computer-Aided Intervention (MICCAI 2025),
2024
S Nitzan,
M Gilad,
M Freiman,
Automated Prediction of Breast Cancer Response to Neoadjuvant Chemotherapy from DWI Data,
Proc. IEEE 21st International Symposium on Biomedical Imaging (ISBI),
L Hazan,
N Gavrielov,
R Reichart,
T Hagopian,
MLC Greer,
R Cytter-Kuint,
G Focht,
D Turner,
M Freiman,
Leveraging Prompt-Learning for Structured Information Extraction from Crohn’s Disease Radiology Reports in a Low-Resource Language,
The 6th Clinical Natural Language Processing Workshop, In conjunction with the NAACL 2024,
2023
G Shani,
M Freiman,
YE Maruvka,
An Efficient and Accurate Neural Network Tool for Finding Correlation Between Gene Expression and Histological Images,
Proc. 2023 MICCAI Workshop on Clinical Image-Based Procedures (CLIP),
E Hannaia,
I Volovik,
L Barkat,
I Cohen,
M Freiman,
PCMC-T1: Free-breathing myocardial T1 mapping with physically-constrained motion correction,
Proc. 2023 Int. Conf. Medical Image Computing and Computer-Aided Intervention (MICCAI 2023),
M Fichmann-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,
Proc. IEEE 20th International Symposium on Biomedical Imaging (ISBI),
N Avidan,
M Freiman,
Deep Learning-Based Fast MRI Reconstruction: Improving Generalization for Clinical Translation,
Proc. 2023 MICCAI Workshop on Clinical Image-Based Procedures (CLIP),
2022
Y Ziselman,
FH Shinnawi,
MLC Greer,
G Focht,
D Turner,
M Freiman,
Gadolinium-free Crohn's disease assessment from Magnetic Resonance Enterography data,
Proc. IEEE 19th International Symposium on Biomedical Imaging (ISBI),
Y Zaffrani-Reznikov,
O Afacan,
S Kurugol,
SK Warfield,
M Freiman,
qDWI-Morph: Motion-compensated quantitative Diffusion-Weighted MRI analysis for fetal lung maturity assessment,
Proc. ECCV Medical Computer Vision Workshop, ECCV-MCV 2022,
D Shats,
H Hezi,
G Shani,
Y Maruvka,
M Freiman,
Patient-level Microsatellite Stability Assessment from Whole Slide Images By Combining Momentum Contrast Learning and Group Patch Embeddings,
Proc. ECCV Medical Computer Vision Workshop, ECCV-MCV 2022,
N Korngut,
E Rotman,
O Afacan,
S Kurugol,
S Nemirovsky-Rotman,
Y Zaffrani-Reznikov,
SK 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,
Proc. 2022 Int. Conf. Medical Image Computing and Computer-Aided Intervention (MICCAI 2022),
S Khawaled,
M Freiman,
NPB-REC: Non-parametric Assessment of Uncertainty in Deep-learning-based MRI Reconstruction from Undersampled Data,
Proc. 5th int. workshop on Machine Learning for Medical Image Reconstruction, MLMIR 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,
Proc. 2022 Int. Conf. Medical Image Computing and Computer-Aided Intervention (MICCAI 2022),
J Fhima,
Y Men,
Van Eijgen J,
M Freiman,
I Stalmans,
JA Behar,
PVBM: A Python Vasculature Biomarker Toolbox Based On Retinal Blood Vessel Segmentation,
Proc. ECCV Medical Computer Vision Workshop, ECCV-MCV 2022,
J Fhima,
Van Eijgen J,
M Freiman,
I Stalmans,
JA Behar,
ai: A Novel Platform for Crowd-Sourcing Retinal Image Segmentations,
Proc. 2022 Computing in Cardiology Conference (CinC),
2021
A Dar,
M Masarwy,
S Khawaled,
M Freiman,
Deep-Learning based Motion Correction for Myocardial T1 Mapping,
Proc. 2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS),
H Ben Atya,
O Rajchert,
L Goshen,
M Freiman,
Non-Parametric Data Augmentations Improve Deep-Learning based Brain Tumor Segmentation,
Proc. 2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS),
2017
M Freiman,
H Nickisch,
H Schmitt,
M Vembar,
P Maurovich-Horvat,
PM Donnelly,
L Goshen,
Learning a diluted database for patch-based medical image segmentation,
Proc. MICCAI 2017 Workshop on Patch-based Techniques in Medical Imaging (PATCH-MI 2017),
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 hemodynamic significance assessment,
Proc. SPIE Medical Imaging,
V Taimouri,
S Kurugol,
S Clancy,
M Freiman,
SK Warfield,
Structural and Diffusion Weighted MRI registration for biomarker fusion in Crohn's disease diagnosis,
Proc. 2015 IEEE Int. Symp. on Biomedical Imaging: From Nano to Macro,
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,
Proc. 17th Int. Conf. Medical Image Computing and Computer-Aided Intervention,
S Kurugol,
M Freiman,
O Afacan,
L Domachevsky,
JM Perez-Rossello,
MJ Callahan,
SK Warfield,
Motion Compensated Abdominal Diffusion Weighted MRI by Simultaneous Image Registration and Model Estimation (SIR-ME),
Proc. 17th Int. Conf. Medical Image Computing and Computer-Aided Intervention,
Y Lamash,
M Freiman,
L Goshen,
Simultaneous Multi-Phase Coronary CT Angiography Analysis for Coronary Artery Disease Evaluation,
Proc. MICCAI 2014 Workshop on Clinical Image-based Procedures: Translational Research in Medical Imaging,
S Kurugol,
M Freiman,
SK Warfield,
Spatially-Constrained Probability Distribution Model of Incoherent Motion (SPIM) in Diffusion Weighted MRI Signals of Crohn's Disease,
Proc. MICCAI 2014 Workshop on Computational and Clinical Applications in Abdominal Imaging,
V Taimouri,
M Freiman,
O Afacan,
SK Warfield,
Spatially Constrained Incoherent Motion (SCIM) model improves quantitative Diffusion-Weighted MRI analysis of Crohn's disease patients,
Proc. MICCAI 2013 Workshop on Computational and Clinical Applications in Abdominal Imaging, CCAAI'2013,
M Freiman,
O Afacan,
RV Mulkern,
SK Warfield,
Improved high b-value diffusion weighted imaging of the body using Simultaneous Model Estimation and Image Reconstruction (SMEIR),
Proc. 16th Int. Conf. Medical Image Computing and Computer-Aided Intervention,
M Freiman,
JM Perez-Rossello,
MJ Callahan,
RV Mulkern,
SD Voss,
SK Warfield,
Reliable assessment of perfusivity and diffusivity from diffusion imaging of the body,
Proc. 15th Int. Conf. Medical Image Computing and Computer-Aided Intervention,
M Freiman,
S Voss,
K Ecklund,
S Connolly,
R Mulkern,
SK Warfield,
Abdominal images non-rigid registration using local-affine diffeomorphic demons,
Proc. MICCAI 2011 Workshop on Computational and Clinical Applications in Abdominal Imaging, CCAAI'2011,
M Freiman,
S Voss,
R Mulkern,
J Perez-Rossello,
SK Warfield,
Quantitative body DW-MRI biomarkers uncertainty estimation using Unscented Wild-bootstrap,
Proc. 14th Int. Conf. on Medical Image Computing and Computer-Assisted Intervention,
M Freiman,
S Voss,
SK Warfield,
Demons registration with local affine adaptive regularization: application to registration of abdominal structures,
Proc. 8th IEEE Int. Symposium on Biomedical Imaging,
M Freiman,
O Pele,
A Hurvitz,
L Joskowicz,
M Werman,
Spectral-based 2D-3D X-ray for CT registration with Fourier-Mellin invariants,
Proc. SPIE Symposium on Medical Imaging 2011,
M Freiman,
A Kronman,
SJ Esses,
L Joskowicz,
J Sosna,
Non-parametric iterative model constraint graph min-cut for automatic kidney segmentation,
Proc. 13th Int. Conf. on Medical Image Computing and Computer-Assisted Intervention,
M Freiman,
SJ Esses,
L Joskowicz,
J Sosna,
An iterative model-constrained graph-cut algorithm for Abdominal Aortic Aneurysm thrombus segmentation,
Proc. 7th IEEE Int. Symposium on Biomedical Imaging,
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,
Proc. SPIE Symposium on Medical Imaging 2010,
O Cooper,
M Freiman,
L Joskowicz,
D Lischinski,
Affinity-based constraint optimization for nearly-automatic vessel segmentation,
Proc. SPIE Symposium on Medical Imaging 2010,
M Safran,
M Freiman,
L Joskowicz,
M Werman,
Curvelet-based sampling for high-accuracy multi-modal image registration,
Proc. SPIE Symposium on Medical Imaging 2009,
M Freiman,
N Broide,
M Natanzon,
L Weizman,
E Nammer,
O Shilon,
J Frank,
L Joskowicz,
J Sosna,
Vessels-Cut: a graph based approach to carotid arteries patient-specific modeling,
Proc. 2nd workshop on: 3D Physiological Human,
M Freiman,
L Joskowicz,
J Sosna,
A variational method for vessels segmentation: algorithm and application to liver vessels visualization,
Proc. SPIE Symposium on Medical Imaging 2009,
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,
Proc. 11th Int. Conf. on Medical Image Computing and Computer-Assisted Intervention,
M Freiman,
O Eliassaf,
Y Taieb,
L Joskowicz,
J Sosna,
A Bayesian approach for liver analysis: algorithm and validation study,
Proc. 11th Int. Conf. on Medical Image Computing and Computer-Assisted Intervention,
M Freiman,
Y Edrei,
E Gross,
L Joskowicz,
R Abramovitch,
Statistical tumor model construction and classification from fMRI maps for liver metastases early detection,
Proc. 5th IEEE Int. Symposium on Biomedical Imaging,
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,
Proc. 8th Int. Conf. Medical Image Computing and Computer-Aided Intervention,
L Joskowicz,
M Shoham,
R Shamir,
M Freiman,
E Zehavi,
Y Shoshan,
Miniature robot-based precise targeting system for keyhole neurosurgery: concept and preliminary results,
Proc. 19th Int. Conf. Computer-Assisted Radiology and Surgery,