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Assaf Hoogi
Assaf Hoogi
Assistant Professor, Faculty of Computer Science
Verified email at ariel.ac.il
Title
Cited by
Cited by
Year
Deep learning for brain MRI segmentation: state of the art and future directions
Z Akkus, A Galimzianova, A Hoogi, DL Rubin, BJ Erickson
Journal of digital imaging 30, 449-459, 2017
11482017
A curated mammography data set for use in computer-aided detection and diagnosis research
RS Lee, F Gimenez, A Hoogi, KK Miyake, M Gorovoy, DL Rubin
Scientific data 4 (1), 1-9, 2017
6822017
Automated Classification of Brain Tumor Type in Whole-Slide Digital Pathology Images Using Local Representative Tiles
J Barker, A Hoogi, A Depeursinge, D L. Rubin
Medical Image analysis, 2015
2312015
Carotid plaque vulnerability: quantification of neovascularization on contrast-enhanced ultrasound with histopathologic correlation
A Hoogi, D Adam, A Hoffman, H Kerner, S Reisner, D Gaitini
American Journal of Roentgenology 196 (2), 431-436, 2011
1932011
Curated Breast Imaging Subset of DDSM (CBIS-DDSM).
RS Lee
The cancer imaging archive, 2016
1262016
From voxels to pixels and back: Self-supervision in natural-image reconstruction from fmri
R Beliy, G Gaziv, A Hoogi, F Strappini, T Golan, M Irani
Advances in Neural Information Processing Systems 32, 2019
1112019
Adaptive local window for level set segmentation of CT and MRI liver lesions
A Hoogi, CF Beaulieu, GM Cunha, E Heba, CB Sirlin, S Napel, DL Rubin
Medical image analysis 37, 46-55, 2017
822017
Adaptive estimation of active contour parameters using convolutional neural networks and texture analysis
A Hoogi, A Subramaniam, R Veerapaneni, DL Rubin
IEEE transactions on medical imaging 36 (3), 781-791, 2016
772016
Self-supervised natural image reconstruction and large-scale semantic classification from brain activity
G Gaziv, R Beliy, N Granot, A Hoogi, F Strappini, T Golan, M Irani
NeuroImage 254, 119121, 2022
69*2022
Deep Active Lesion Segmentation
A Hatamizadeh *, A Hoogi *, D Sengupta, W Lu, B Wilcox, D Rubin, ...
arXiv preprint arXiv:1908.06933, 2019
662019
New quantification methods for carotid intra-plaque neovascularization using contrast-enhanced ultrasound
Z Akkus, A Hoogi, G Renaud, SCH van den Oord, GL Ten Kate, ...
Ultrasound in medicine & biology 40 (1), 25-36, 2014
622014
Improved patch-based automated liver lesion classification by separate analysis of the interior and boundary regions
I Diamant*, A Hoogi*, CF Beaulieu, M Safdari, E Klang, M Amitai, ...
IEEE journal of biomedical and health informatics 20 (6), 1585-1594, 2016
522016
Adaptive local window-based methods for characterizing features of interest in digital images and systems for practicing same
A Hoogi, DL Rubin
US Patent 10,420,523, 2019
492019
Subharmonic response of encapsulated microbubbles: Conditions for existence and amplification
E Kimmel, B Krasovitski, A Hoogi, D Razansky, D Adam
Ultrasound in medicine & biology 33 (11), 1767-1776, 2007
462007
Quantitative contrast-enhanced ultrasound of intraplaque neovascularization in patients with carotid atherosclerosis
SCH van den Oord, Z Akkus, JG Bosch, A Hoogi, GL ten Kate, G Renaud, ...
Ultraschall in der Medizin-European Journal of Ultrasound 36 (02), 154-161, 2015
372015
Self-attention Capsule Network for Tissue Classification in Case of Challenging Medical Image Statistics
A Hoogi, B Wilcox, Y Gupta, D Rubin
European Conference on Computer Vision, 219-235, 2022
36*2022
Quantitative analysis of ultrasound contrast flow behavior in carotid plaque neovasculature
A Hoogi, Z Akkus, SCH van den Oord, GL ten Kate, AFL Schinkel, ...
Ultrasound in medicine & biology 38 (12), 2072-2083, 2012
342012
Biomedical imaging informatics
DL Rubin, H Greenspan, A Hoogi
Biomedical Informatics: Computer Applications in Health Care and Biomedicine …, 2021
292021
A fully-automated pipeline for detection and segmentation of liver lesions and pathological lymph nodes
A Hoogi, JW Lambert, Y Zheng, D Comaniciu, DL Rubin
arXiv preprint arXiv:1703.06418, 2017
222017
Motion compensation method using dynamic programming for quantification of neovascularization in carotid atherosclerotic plaques with contrast enhanced ultrasound (CEUS)
Z Akkus, A Hoogi, G Renaud, GL Ten Kate, SCH Van Den Oord, ...
Medical Imaging 2012: Ultrasonic Imaging, Tomography, and Therapy 8320, 102-113, 2012
192012
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