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Prasanth Prasanna
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2020 – today
- 2023
- [j6]Paras Lakhani
, J. Mongan, Chinmay Singhal
The 2021 SIIM-FISABIO-RSNA Machine Learning COVID-19 Challenge: Annotation and Standard Exam Classification of COVID-19 Chest Radiographs. J. Digit. Imaging 36(1): 365-372 (2023) - 2021
- [j5]Bryce Lowery, Sameer Sandhu, Tessa Sundaram Cook, Prasanth Prasanna:
The Role of Imaging Informatics in Disaster Preparedness During the COVID-19 Pandemic. J. Digit. Imaging 34(2): 330-336 (2021) - [j4]Jannis Born
On the role of artificial intelligence in medical imaging of COVID-19. Patterns 2(6): 100269 (2021) - [j3]Jannis Born, David Beymer, Deepta Rajan, Adam Coy, Vandana V. Mukherjee, Matteo Manica, Prasanth Prasanna, Deddeh Ballah, Michal Guindy, Dorith Shaham, Pallav L. Shah
On the role of artificial intelligence in medical imaging of COVID-19. Patterns 2(8): 100330 (2021) - 2020
- [j2]Ross W. Filice
Crowdsourcing pneumothorax annotations using machine learning annotations on the NIH chest X-ray dataset. J. Digit. Imaging 33(2): 490-496 (2020)
2010 – 2019
- 2018
- [j1]Hongzhi Wang, Deepika Kakrania, Hui Tang, Prasanth Prasanna, Tanveer Fathima Syeda-Mahmood:
Fast anatomy segmentation by combining coarse scale multi-atlas label fusion with fine scale corrective learning. Comput. Medical Imaging Graph. 68: 16-24 (2018) - [c9]Hongzhi Wang, Prasanth Prasanna, Tanveer F. Syeda-Mahmood:
Rapid annotation of 3D medical imaging datasets using registration-based interpolation and adaptive slice selection. ISBI 2018: 1340-1343 - [c8]Hui Tang, Mehdi Moradi, Ahmed El Harouni, Hongzhi Wang, Gopalkrishna Veni, Prasanth Prasanna, Tanveer F. Syeda-Mahmood:
Segmentation of anatomical structures in cardiac CTA using multi-label V-Net. Medical Imaging: Image Processing 2018: 1057407 - 2017
- [c7]Hongzhi Wang, Prasanth Prasanna, Tanveer F. Syeda-Mahmood:
Fast anatomy segmentation by combining low resolution multi-atlas label fusion with high resolution corrective learning: An experimental study. ISBI 2017: 223-226 - [c6]Hui Tang, Mehdi Moradi, Prasanth Prasanna, Hongzhi Wang, Tanveer F. Syeda-Mahmood:
An algorithm for fully automatic detection of calcium in chest CT imaging. ISBI 2017: 265-269 - [c5]Hongzhi Wang, Mehdi Moradi, Yaniv Gur, Prasanth Prasanna, Tanveer F. Syeda-Mahmood:
A Multi-atlas Approach to Region of Interest Detection for Medical Image Classification. MICCAI (3) 2017: 168-176 - 2016
- [c4]Mehdi Moradi, Yaniv Gur, Hongzhi Wang, Prasanth Prasanna, Tanveer F. Syeda-Mahmood:
A hybrid learning approach for semantic labeling of cardiac CT slices and recognition of body position. ISBI 2016: 1418-1421 - [c3]Tanveer F. Syeda-Mahmood, Eugene Walach, David Beymer, Flora Gilboa-Solomon, Mehdi Moradi, Pavel Kisilev, Deepika Kakrania, Colin B. Compas, Hongzhi Wang, Mohammadreza Negahdar, Yu Cao, Tyler Baldwin, Yufan Guo, Yaniv Gur, Deepta Rajan, Aviad Zlotnick, Simona Rabinovici-Cohen
Medical sieve: a cognitive assistant for radiologists and cardiologists. Medical Imaging: Computer-Aided Diagnosis 2016: 97850A - 2015
- [c2]Xi Liang, Rahil Garnavi, Simon Wail, Sisi Liang, Prasanth Prasanna:
Automatic segmentation of the left ventricle into 17 anatomical regions in cardiac MR imaging. EMBC 2015: 6531-6535 - [c1]Yu Cao, Hongzhi Wang, Mehdi Moradi, Prasanth Prasanna, Tanveer Fathima Syeda-Mahmood:
Fracture detection in x-ray images through stacked random forests feature fusion. ISBI 2015: 801-805
Coauthor Index
aka: Tanveer Fathima Syeda-Mahmood
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