| 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 | 1104 | 2017 |
| 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 | 629 | 2017 |
| 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 | 227 | 2015 |
| 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 | 194 | 2011 |
| Curated Breast Imaging Subset of DDSM (CBIS-DDSM). RS Lee The cancer imaging archive, 2016 | 117 | 2016 |
| 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 | 102 | 2019 |
| 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 | 77 | 2017 |
| 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 | 77 | 2016 |
| Deep Active Lesion Segmentation A Hatamizadeh *, A Hoogi *, D Sengupta, W Lu, B Wilcox, D Rubin, ... arXiv preprint arXiv:1908.06933, 2019 | 62 | 2019 |
| 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 | 61 | 2014 |
| 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 | 54* | 2022 |
| 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 | 52 | 2016 |
| 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 | 44 | 2007 |
| 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 | 43 | 2019 |
| 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, 154-161, 2014 | 37 | 2014 |
| 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 | 34 | 2012 |
| Biomedical imaging informatics DL Rubin, H Greenspan, A Hoogi Biomedical Informatics: Computer Applications in Health Care and Biomedicine …, 2021 | 28 | 2021 |
| 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 | 21 | 2017 |
| 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 | 19 | 2012 |
