Prasanth Prasanna

According to our database, Prasanth Prasanna authored at least 14 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

The 2021 SIIM-FISABIO-RSNA Machine Learning COVID-19 Challenge: Annotation and Standard Exam Classification of COVID-19 Chest Radiographs.

Paras Lakhani, J. Mongan, Chinmay Singhal, Q. Zhou, Katherine P. Andriole, William F. Auffermann, Prasanth Prasanna, Theresa X. Pham, Michael Peterson, P. J. Bergquist, Tessa Sundaram Cook, S. F. Ferraciolli, G. C. A. Corradi, MS Takahashi, C. S. Workman, Maansi R. Parekh, S. I. Kamel, Joaquin Galant, A. Mas-Sanchez, E. C. Benítez, M. Sánchez-Valverde, L. Jaques, M. Panadero, M. Vidal, M. Culiañez-Casas, D. Angulo-Gonzalez, Steve G. Langer, María de la Iglesia-Vayá, George Shih

J. Digit. Imaging, February, 2023

2021

On the role of artificial intelligence in medical imaging of COVID-19.

Jannis Born, David Beymer, Deepta Rajan, Adam Coy, Vandana V. Mukherjee, Matteo Manica, Prasanth Prasanna, Deddeh Ballah, Michal Guindy, Dorith Shaham, Pallav L. Shah, Emmanouil Karteris, Jan L. Robertus, Maria Gabrani, Michal Rosen-Zvi

Patterns, 2021

The Role of Imaging Informatics in Disaster Preparedness During the COVID-19 Pandemic.

Bryce Lowery, Sameer Sandhu, Tessa Sundaram Cook, Prasanth Prasanna

J. Digit. Imaging, 2021

2020

Crowdsourcing pneumothorax annotations using machine learning annotations on the NIH chest X-ray dataset.

Ross W. Filice, Anouk Stein, Carol C. Wu, Veronica A. Arteaga, Stephen Borstelmann, Ramya Gaddikeri, Maya Galperin-Aizenberg, Ritu R. Gill, Myrna C. Godoy, Stephen B. Hobbs, Jean Jeudy, Paras Lakhani, Archana Laroia, Sundeep M. Nayak, Maansi R. Parekh, Prasanth Prasanna, Palmi Shah, Dharshan Vummidi, Kavitha Yaddanapudi, George Shih

J. Digit. Imaging, 2020

2018

Fast anatomy segmentation by combining coarse scale multi-atlas label fusion with fine scale corrective learning.

Hongzhi Wang, Deepika Kakrania, Hui Tang, Prasanth Prasanna, Tanveer Fathima Syeda-Mahmood

Comput. Medical Imaging Graph., 2018

Segmentation of anatomical structures in cardiac CTA using multi-label V-Net.

Hui Tang, Mehdi Moradi, Ahmed El Harouni, Hongzhi Wang, Gopalkrishna Veni, Prasanth Prasanna, Tanveer F. Syeda-Mahmood

Proceedings of the Medical Imaging 2018: Image Processing, 2018

Rapid annotation of 3D medical imaging datasets using registration-based interpolation and adaptive slice selection.

Hongzhi Wang, Prasanth Prasanna, Tanveer F. Syeda-Mahmood

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

A Multi-atlas Approach to Region of Interest Detection for Medical Image Classification.

Hongzhi Wang, Mehdi Moradi, Yaniv Gur, Prasanth Prasanna, Tanveer F. Syeda-Mahmood

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Fast anatomy segmentation by combining low resolution multi-atlas label fusion with high resolution corrective learning: An experimental study.

Hongzhi Wang, Prasanth Prasanna, Tanveer F. Syeda-Mahmood

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

An algorithm for fully automatic detection of calcium in chest CT imaging.

Hui Tang, Mehdi Moradi, Prasanth Prasanna, Hongzhi Wang, Tanveer F. Syeda-Mahmood

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016

Medical sieve: a cognitive assistant for radiologists and cardiologists.

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, Rami Ben-Ari, Guy Amit, Prasanth Prasanna, J. Morey, Orest B. Boyko, Sharbell Y. Hashoul

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016

A hybrid learning approach for semantic labeling of cardiac CT slices and recognition of body position.

Mehdi Moradi, Yaniv Gur, Hongzhi Wang, Prasanth Prasanna, Tanveer F. Syeda-Mahmood

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

Fracture detection in x-ray images through stacked random forests feature fusion.

Yu Cao, Hongzhi Wang, Mehdi Moradi, Prasanth Prasanna, Tanveer Fathima Syeda-Mahmood

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Automatic segmentation of the left ventricle into 17 anatomical regions in cardiac MR imaging.

Xi Liang, Rahil Garnavi, Simon Wail, Sisi Liang, Prasanth Prasanna

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015