Arnaldo Mayer

According to our database, Arnaldo Mayer authored at least 38 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Perceptual Transformer Loss for the Neural Denoising of Ultra-Low Dose CT.

Michael Green, Edith M. Marom, Arnaldo Mayer

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Fast Acquisition for Diffusion Tensor Tractography.

Omri Leshem, Nahum Kiryati, Michael Green, Ilya Nelkenbaum, Dani Roizen, Arnaldo Mayer

Proceedings of the Computational Diffusion MRI - 14th International Workshop, 2023

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

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

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Neural Registration and Segmentation of White Matter Tracts in Multi-modal Brain MRI.

Noa Barzilay, Ilya Nelkenbaum, Eli Konen, Nahum Kiryati, Arnaldo Mayer

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

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

Knee Injury Detection using MRI with Efficiently-Layered Network (ELNet).

Chen-Han Tsai, Nahum Kiryati, Eli Konen, Iris Eshed, Arnaldo Mayer

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Labeling of Multilingual Breast MRI Reports.

Chen-Han Tsai, Nahum Kiryati, Eli Konen, Miri Sklair-Levy, Arnaldo Mayer

Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 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

Proceedings of the Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures, 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

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Automatic Segmentation of White Matter Tracts Using Multiple Brain MRI Sequences.

Ilya Nelkenbaum, Galia Tsarfaty, Nahum Kiryati, Eli Konen, Arnaldo Mayer

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

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

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

Neural Denoising of Ultra-low Dose Mammography.

Michael Green, Miri Sklair-Levy, Nahum Kiryati, Eli Konen, Arnaldo Mayer

Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

Feature Aggregation in Perceptual Loss for Ultra Low-Dose (ULD) CT Denoising.

Michael Green, Edith M. Marom, Eli Konen, Nahum Kiryati, Arnaldo Mayer

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

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

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

Learning Real Noise for Ultra-Low Dose Lung CT Denoising.

Michael Green, Edith M. Marom, Eli Konen, Nahum Kiryati, Arnaldo Mayer

Proceedings of the Patch-Based Techniques in Medical Imaging, 2018

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

A Neural Regression Framework for Low-Dose Coronary CT Angiography (CCTA) Denoising.

Michael Green, Edith M. Marom, Nahum Kiryati, Eli Konen, Arnaldo Mayer

Proceedings of the Patch-Based Techniques in Medical Imaging, 2017

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

Efficient Low-Dose CT Denoising by Locally-Consistent Non-Local Means (LC-NLM).

Michael Green, Edith M. Marom, Nahum Kiryati, Eli Konen, Arnaldo Mayer

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

A system for automatic aorta sections measurements on chest CT.

Yitzchak Pfeffer, Arnaldo Mayer, Adi Zholkover, Eli Konen

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016

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

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015

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

2014

A functional test for the detection of infusion lines extravasation.

Arnaldo Mayer, Adi Zholkover, Ilan Keidan

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2011

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

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

Piecewise smooth affine registration of point-sets with application to DT-MRI brain fiber-data.

Ran Shadmi, Arnaldo Mayer, Nir A. Sochen, Hayit Greenspan

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009

An Adaptive Mean-Shift Framework for MRI Brain Segmentation.

Arnaldo Mayer, Hayit Greenspan

IEEE Trans. Medical Imaging, 2009

2008

White matter tractographies registration using Gaussian mixture modeling.

Orly Zvitia, Arnaldo Mayer, Hayit Greenspan

Proceedings of the Medical Imaging 2008: Image Processing, 2008

Adaptive mean-shift registration of white matter tractographies.

Orly Zvitia, Arnaldo Mayer, Hayit Greenspan

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Bundles of interest based registration of White Matter tractographies.

Arnaldo Mayer, Hayit Greenspan

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Classification trees for fast segmentation of DTI brain fiber tracts.

Gali Zimmerman-Moreno, Arnaldo Mayer, Hayit Greenspan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

2006

Segmentation of brain MRI by adaptive mean shift.

Arnaldo Mayer, Hayit Greenspan

Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

2004

Probabilistic Space-Time Video Modeling via Piecewise GMM.

Hayit Greenspan, Jacob Goldberger, Arnaldo Mayer

IEEE Trans. Pattern Anal. Mach. Intell., 2004

2003

A probabilistic framework for the spatio-temporal segmentation of multiple sclerosis lesions in MR images of the brain.

Hayit Greenspan, Arnaldo Mayer, Allon Shahar

Proceedings of the Medical Imaging 2003: Image Processing, 2003

2002

A Probabilistic Framework for Spatio-Temporal Video Representation & Indexing.

Hayit Greenspan, Jacob Goldberger, Arnaldo Mayer

Proceedings of the Computer Vision, 2002