| 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 | 1256 | 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 | 818 | 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 | 242 | 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 | 200 | 2011 |
| 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 | 135 | 2019 |
| Curated Breast Imaging Subset of DDSM (CBIS-DDSM). RS Lee The cancer imaging archive, 2016 | 133 | 2016 |
| 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 | 93* | 2022 |
| 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 | 86 | 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 | 78 | 2016 |
| Deep Active Lesion Segmentation A Hatamizadeh *, A Hoogi *, D Sengupta, W Lu, B Wilcox, D Rubin, ... arXiv preprint arXiv:1908.06933, 2019 | 73 | 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 | 63 | 2014 |
| 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 | 54 | 2019 |
| 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 | 48 | 2007 |
| 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 | 41* | 2022 |
| 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 | 37 | 2015 |
| 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 | 35 | 2012 |
| Biomedical imaging informatics DL Rubin, H Greenspan, A Hoogi Biomedical Informatics: Computer Applications in Health Care and Biomedicine …, 2021 | 29 | 2021 |
| Curated breast imaging subset of digital database for screening mammography (CBIS-DDSM) R Sawyer-Lee, F Gimenez, A Hoogi, D Rubin (No Title), 2016 | 29 | 2016 |
| Natural language generation model for mammography reports simulation A Hoogi, A Mishra, F Gimenez, J Dong, D Rubin IEEE Journal of Biomedical and Health Informatics 24 (9), 2711-2717, 2020 | 22 | 2020 |
