Arnaldo Mayer - researchr alias

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Viewing Publication 1 - 37 from 37

2023

Fast Acquisition for Diffusion Tensor TractographyOmri Leshem, Nahum Kiryati, Michael Green, Ilya Nelkenbaum, Dani Roizen, Arnaldo Mayer. miccai 2023: 118-128 [doi]

2022

2020

Neural Segmentation of Seeding ROIs (sROIs) for Pre-Surgical Brain TractographyItzik Avital, Ilya Nelkenbaum, Galia Tsarfaty, Eli Konen, Nahum Kiryati, Arnaldo Mayer. tmi, 39(5):1655-1667, 2020. [doi]

Automatic Breast Lesion Classification by Joint Neural Analysis of Mammography and UltrasoundGavriel Habib, Nahum Kiryati, Miri Sklair-Levy, Anat Shalmon, Osnat Halshtok Neiman, Renata Faermann Weidenfeld, Yael Yagil, Eli Konen, Arnaldo Mayer. miccai 2020: 125-135 [doi]

Automatic Segmentation of White Matter Tracts Using Multiple Brain MRI SequencesIlya Nelkenbaum, Galia Tsarfaty, Nahum Kiryati, Eli Konen, Arnaldo Mayer. isbi 2020: 368-371 [doi]

Labeling of Multilingual Breast MRI ReportsChen-Han Tsai, Nahum Kiryati, Eli Konen, Miri Sklair-Levy, Arnaldo Mayer. miccai 2020: 233-241 [doi]

Knee Injury Detection using MRI with Efficiently-Layered Network (ELNet)Chen-Han Tsai, Nahum Kiryati, Eli Konen, Iris Eshed, Arnaldo Mayer. midl 2020: 784-794 [doi]

Labeling of Multilingual Breast MRI ReportsChen-Han Tsai, Nahum Kiryati, Eli Konen, Miri Sklair-Levy, Arnaldo Mayer. miccai 2020: 233-241 [doi]

V-Net Light - Parameter-Efficient 3-D Convolutional Neural Network for Prostate MRI SegmentationOphir Yaniv, Orith Portnoy, Amit Talmon, Nahum Kiryati, Eli Konen, Arnaldo Mayer. isbi 2020: 442-445 [doi]

2019

2018

2017

A Neural Regression Framework for Low-Dose Coronary CT Angiography (CCTA) DenoisingMichael Green, Edith M. Marom, Nahum Kiryati, Eli Konen, Arnaldo Mayer. miccai 2017: 102-110 [doi]

Patient-specific image denoising for ultra-low-dose CT-guided lung biopsiesMichael Green, Edith M. Marom, Eli Konen, Nahum Kiryati, Arnaldo Mayer. cars, 12(12):2145-2155, 2017. [doi]

2016

2014

A functional test for the detection of infusion lines extravasationArnaldo Mayer, Adi Zholkover, Ilan Keidan. embc 2014: 4180-4183 [doi]

2011

A Supervised Framework for the Registration and Segmentation of White Matter Fiber TractsArnaldo Mayer, Gali Zimmerman, Ran Shadmi, Amit Batikoff, Hayit Greenspan. tmi, 30(1):131-145, 2011. [doi]

2010

Piecewise smooth affine registration of point-sets with application to DT-MRI brain fiber-dataRan Shadmi, Arnaldo Mayer, Nir A. Sochen, Hayit Greenspan. isbi 2010: 528-531 [doi]

Co-registration of White Matter Tractographies by Adaptive-Mean-Shift and Gaussian Mixture ModelingOrly Zvitia, Arnaldo Mayer, Ran Shadmi, Shmuel Miron, Hayit Greenspan. tmi, 29(1):132-145, 2010. [doi]

2009

An Adaptive Mean-Shift Framework for MRI Brain SegmentationArnaldo Mayer, Hayit Greenspan. tmi, 28(8):1238-1250, 2009. [doi]

2008

2006

Segmentation of brain MRI by adaptive mean shiftArnaldo Mayer, Hayit Greenspan. isbi 2006: 319-322 [doi]

2003

A probabilistic framework for the spatio-temporal segmentation of multiple sclerosis lesions in MR images of the brainHayit Greenspan, Arnaldo Mayer, Allon Shahar. miip 2003: [doi]

Probabilistic Space-Time Video Modeling via Piecewise GMMHayit Greenspan, Jacob Goldberger, Arnaldo Mayer. pami, 26(3):384-396, 2003. [doi]

2002

A Probabilistic Framework for Spatio-Temporal Video Representation & IndexingHayit Greenspan, Jacob Goldberger, Arnaldo Mayer. eccv 2002: 461-475 [doi]

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