A Probabilistic Framework for Spatio-Temporal Video Representation & Indexing. - Hayit Greenspan; Jacob Goldberger; Arnaldo Mayer (ECCV (4), 2002)

A probabilistic framework for the spatio-temporal segmentation of multiple sclerosis lesions in MR images of the brain. - Hayit Greenspan; Arnaldo Mayer; Allon Shahar (Image Processing, 2003)

Probabilistic Space-Time Video Modeling via Piecewise GMM. - Hayit Greenspan; Jacob Goldberger; Arnaldo Mayer (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

Segmentation of brain MRI by adaptive mean shift. - Arnaldo Mayer; Hayit Greenspan (ISBI, 2006)

Classification trees for fast segmentation of DTI brain fiber tracts. - Gali Zimmerman-Moreno; Arnaldo Mayer; Hayit Greenspan (CVPR Workshops, 2008)

Bundles of interest based registration of White Matter tractographies. - Arnaldo Mayer; Hayit Greenspan (ISBI, 2008)

Adaptive mean-shift registration of white matter tractographies. - Orly Zvitia; Arnaldo Mayer; Hayit Greenspan (ISBI, 2008)

White matter tractographies registration using Gaussian mixture modeling. - Orly Zvitia; Arnaldo Mayer; Hayit Greenspan (Image Processing, 2008)

An Adaptive Mean-Shift Framework for MRI Brain Segmentation. - Arnaldo Mayer; Hayit Greenspan (IEEE Trans. Medical Imaging, 2009)

Piecewise smooth affine registration of point-sets with application to DT-MRI brain fiber-data. - Ran Shadmi; Arnaldo Mayer; Nir A. Sochen; Hayit Greenspan (ISBI, 2010)

Co-registration of White Matter Tractographies by Adaptive-Mean-Shift and Gaussian Mixture Modeling. - Orly Zvitia; Arnaldo Mayer; Ran Shadmi; Shmuel Miron; Hayit Greenspan (IEEE Trans. Medical Imaging, 2010)

A Supervised Framework for the Registration and Segmentation of White Matter Fiber Tracts. - Arnaldo Mayer; Gali Zimmerman-Moreno; Ran Shadmi; Amit Batikoff; Hayit Greenspan (IEEE Trans. Medical Imaging, 2011)

A functional test for the detection of infusion lines extravasation. - Arnaldo Mayer; Adi Zholkover; Ilan Keidan (EMBC, 2014)

The role of automatic computer-aided surgical trajectory planning in improving the expected safety of stereotactic neurosurgery. - M. Trope; Reuben R. Shamir; Leo Joskowicz; Z. Medress; G. Rosenthal; Arnaldo Mayer; N. Levin; A. Bick; Yigal Shoshan (Int. J. Comput. Assist. Radiol. Surg., 2015)

Automatic classification of cancer cells in multispectral microscopic images of lymph node samples. - Gali Zimmerman-Moreno; Irina Marin; Moshe Lindner; Iris Barshack; Yuval Garini; Eli Konen; Arnaldo Mayer (EMBC, 2016)

A system for automatic aorta sections measurements on chest CT. - Yitzchak Pfeffer; Arnaldo Mayer; Adi Zholkover; Eli Konen (Computer-Aided Diagnosis, 2016)

Efficient Low-Dose CT Denoising by Locally-Consistent Non-Local Means (LC-NLM). - Michael Green; Edith M. Marom; Nahum Kiryati; Eli Konen; Arnaldo Mayer (MICCAI (3), 2016)

Deformable registration of trans-rectal ultrasound (TRUS) and magnetic resonance imaging (MRI) for focal prostate brachytherapy. - Arnaldo Mayer; Adi Zholkover; Orith Portnoy; Gil Raviv; Eli Konen; Zvi Symon (Int. J. Comput. Assist. Radiol. Surg., 2016)

A Neural Regression Framework for Low-Dose Coronary CT Angiography (CCTA) Denoising. - Michael Green; Edith M. Marom; Nahum Kiryati; Eli Konen; Arnaldo Mayer (Patch-MI@MICCAI, 2017)

Patient-specific image denoising for ultra-low-dose CT-guided lung biopsies. - Michael Green; Edith M. Marom; Eli Konen; Nahum Kiryati; Arnaldo Mayer (Int. J. Comput. Assist. Radiol. Surg., 2017)

Learning Real Noise for Ultra-Low Dose Lung CT Denoising. - Michael Green; Edith M. Marom; Eli Konen; Nahum Kiryati; Arnaldo Mayer (Patch-MI@MICCAI, 2018)

Fully automatic detection of renal cysts in abdominal CT scans. - Neta Blau; Eyal Klang; Nahum Kiryati; Michal Marianne Amitai; Orith Portnoy; Arnaldo Mayer (Int. J. Comput. Assist. Radiol. Surg., 2018)

3-D Neural denoising for low-dose Coronary CT Angiography (CCTA). - Michael Green; Edith M. Marom; Eli Konen; Nahum Kiryati; Arnaldo Mayer (Comput. Medical Imaging Graph., 2018)

Feature Aggregation in Perceptual Loss for Ultra Low-Dose (ULD) CT Denoising. - Michael Green; Edith M. Marom; Eli Konen; Nahum Kiryati; Arnaldo Mayer (ISBI, 2019)

Neural Denoising of Ultra-low Dose Mammography. - Michael Green; Miri Sklair-Levy; Nahum Kiryati; Eli Konen; Arnaldo Mayer (MLMIR@MICCAI, 2019)

Classification of contrast-enhanced spectral mammography (CESM) images. - Shaked Perek; Nahum Kiryati; Gali Zimmerman-Moreno; Miri Sklair-Levy; Eli Konen; Arnaldo Mayer (Int. J. Comput. Assist. Radiol. Surg., 2019)

Automatic detection and diagnosis of sacroiliitis in CT scans as incidental findings. - Yigal Shenkman; Bilal Qutteineh; Leo Joskowicz; Adi Szeskin; Yusef Azraq; Arnaldo Mayer; Iris Eshed (Medical Image Anal., 2019)

Automatic Segmentation of White Matter Tracts Using Multiple Brain MRI Sequences. - Ilya Nelkenbaum; Galia Tsarfaty; Nahum Kiryati; Eli Konen; Arnaldo Mayer (ISBI, 2020)

V-Net Light - Parameter-Efficient 3-D Convolutional Neural Network for Prostate MRI Segmentation. - Ophir Yaniv; Orith Portnoy; Amit Talmon; Nahum Kiryati; Eli Konen; Arnaldo Mayer (ISBI, 2020)

Automatic Breast Lesion Classification by Joint Neural Analysis of Mammography and Ultrasound. - Gavriel Habib; Nahum Kiryati; Miri Sklair-Levy; Anat Shalmon; Osnat Halshtok Neiman; Renata Faermann Weidenfeld; Yael Yagil; Eli Konen; Arnaldo Mayer (ML-CDS/CLIP@MICCAI, 2020)

Labeling of Multilingual Breast MRI Reports. - Chen-Han Tsai; Nahum Kiryati; Eli Konen; Miri Sklair-Levy; Arnaldo Mayer (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

Knee Injury Detection using MRI with Efficiently-Layered Network (ELNet). - Chen-Han Tsai; Nahum Kiryati; Eli Konen; Iris Eshed; Arnaldo Mayer (MIDL, 2020)

Neural Segmentation of Seeding ROIs (sROIs) for Pre-Surgical Brain Tractography. - Itzik Avital; Ilya Nelkenbaum; Galia Tsarfaty; Eli Konen; Nahum Kiryati; Arnaldo Mayer (IEEE Trans. Medical Imaging, 2020)

Neural Registration and Segmentation of White Matter Tracts in Multi-modal Brain MRI. - Noa Barzilay; Ilya Nelkenbaum; Eli Konen; Nahum Kiryati; Arnaldo Mayer (ECCV Workshops (3), 2022)

Complementary Phase Encoding for Pair-Wise Neural Deblurring of Accelerated Brain MRI. - Gali Hod; Michael Green; Mark Waserman; Eli Konen; Shai Shrot; Ilya Nelkenbaum; Nahum Kiryati; Arnaldo Mayer (ECCV Workshops (3), 2022)

Anisotropic neural deblurring for MRI acceleration. - Maya Mayberg; Michael Green; Mark Vasserman; Dominique Raichman; Eugenia Belenky; Michael Wolf; Shai Shrot; Nahum Kiryati; Eli Konen; Arnaldo Mayer (Int. J. Comput. Assist. Radiol. Surg., 2022)

Fast Acquisition for Diffusion Tensor Tractography. - Omri Leshem; Nahum Kiryati; Michael Green; Ilya Nelkenbaum; Dani Roizen; Arnaldo Mayer (CDMRI@MICCAI, 2023)

Localization-Guided Supervision for Robust Medical Image Classification by Vision Transformers. - Sagi Ben Itzhak; Nahum Kiryati; Orith Portnoy; Arnaldo Mayer (ECCV Workshops (21), 2024)

Perceptual Transformer Loss for the Neural Denoising of Ultra-Low Dose CT. - Michael Green; Edith M. Marom; Arnaldo Mayer (ISBI, 2024)