Search Results - "Prasanna, Prasanth"

The Role of Imaging Informatics in Disaster Preparedness During the COVID-19 Pandemic by Lowery, Bryce, Sandhu, Sameer, Cook, Tessa S., Prasanna, Prasanth

“…Disaster preparedness is a major but necessary undertaking for every health care facility. The 2019 coronavirus (SARS-CoV-2) provided an unforeseen opportunity…”
Get full text

On the role of artificial intelligence in medical imaging of COVID-19 by Born, Jannis, Beymer, David, Rajan, Deepta, Coy, Adam, Mukherjee, Vandana V., Manica, Matteo, Prasanna, Prasanth, Ballah, Deddeh, Guindy, Michal, Shaham, Dorith, Shah, Pallav L., Karteris, Emmanouil, Robertus, Jan L., Gabrani, Maria, Rosen-Zvi, Michal

“…Although a plethora of research articles on AI methods on COVID-19 medical imaging are published, their clinical value remains unclear. We conducted the…”
Get full text

Crowdsourcing pneumothorax annotations using machine learning annotations on the NIH chest X-ray dataset by Filice, Ross W., Stein, Anouk, Wu, Carol C., Arteaga, Veronica A., Borstelmann, Stephen, Gaddikeri, Ramya, Galperin-Aizenberg, Maya, Gill, Ritu R., Godoy, Myrna C., Hobbs, Stephen B., Jeudy, Jean, Lakhani, Paras C., Laroia, Archana, Nayak, Sundeep M., Parekh, Maansi R., Prasanna, Prasanth, Shah, Palmi, Vummidi, Dharshan, Yaddanapudi, Kavitha, Shih, George

“…Pneumothorax is a potentially life-threatening condition that requires prompt recognition and often urgent intervention. In the ICU setting, large numbers of…”
Get full text

Greening Radiology by Prasanna, Prasanth M., MD, Siegel, Eliot, MD, Kunce, Amy, CNMT

“…Purpose Reducing energy consumption has increased in importance with rising energy prices and funding cutbacks. With the introduction of electronic medical…”
Get full text

Online Social Networking: A Primer for Radiology by Prasanna, Prasanth M., Seagull, F. Jacob, Nagy, Paul

“…Online social networking is an immature, but rapidly evolving industry of web-based technologies that allow individuals to develop online relationships. News…”
Get full text

Learning From High-Reliability Organizations by Prasanna, Prasanth, MD, Nagy, Paul, PhD

Get full text

Fast anatomy segmentation by combining coarse scale multi-atlas label fusion with fine scale corrective learning by Wang, Hongzhi, Kakrania, Deepika, Tang, Hui, Prasanna, Prasanth, Syeda-Mahmood, Tanveer

“…•Fast multi-atlas segmentation that achieves state of the art performance within 10 min.•A novel application of corrective learning in accelerating image…”
Get full text

Rapid annotation of 3D medical imaging datasets using registration-based interpolation and adaptive slice selection by Wang, Hongzhi, Prasanna, Prasanth, Syeda-Mahmood, Tanveer

“…Accurate ground truth generation for 3D datasets is essential in many anatomy recognition and disease understanding applications. Interpolation techniques can…”
Get full text

A hybrid learning approach for semantic labeling of cardiac CT slices and recognition of body position by Moradi, Mehdi, Gur, Yaniv, Hongzhi Wang, Prasanna, Prasanth, Syeda-Mahmood, Tanveer

“…We work towards efficient methods of categorizing visual content in medical images as a precursor step to segmentation and anatomy recognition. In this paper,…”
Get full text

Fast anatomy segmentation by combining low resolution multi-atlas label fusion with high resolution corrective learning: An experimental study by Hongzhi Wang, Prasanna, Prasanth, Syeda-Mahmood, Tanveer

“…Deformable registration based multi-atlas segmentation has been successfully applied in a broad range of anatomy segmentation applications. However, the…”
Get full text

Fracture detection in x-ray images through stacked random forests feature fusion by Yu Cao, Hongzhi Wang, Moradi, Mehdi, Prasanna, Prasanth, Syeda-Mahmood, Tanveer F.

“…Bone fractures are among the most common traumas in musculoskeletal injuries. They are also frequently missed during the radiological examination. Thus, there…”
Get full text

On the role of artificial intelligence in medical imaging of COVID-19 by Born, Jannis, Beymer, David, Rajan, Deepta, Coy, Adam, Mukherjee, Vandana V., Manica, Matteo, Prasanna, Prasanth, Ballah, Deddeh, Guindy, Michal, Shaham, Dorith, Shah, Pallav L., Karteris, Emmanouil, Robertus, Jan L., Gabrani, Maria, Rosen-Zvi, Michal

Get full text

Giant Cavernous Hemangioma by Prasanna, Prasanth M., Fredericks, Scott E., Winn, Steven S., Christman, Robert A.

Get full text

Erratum: On the role of artificial intelligence in medical imaging of COVID-19 by Born, Jannis, Beymer, David, Rajan, Deepta, Coy, Adam, Mukherjee, Vandana V, Manica, Matteo, Prasanna, Prasanth, Ballah, Deddeh, Guindy, Michal, Shaham, Dorith, Shah, Pallav L, Karteris, Emmanouil, Robertus, Jan L, Gabrani, Maria, Rosen-Zvi, Michal

Get full text

An algorithm for fully automatic detection of calcium in chest CT imaging by Hui Tang, Moradi, Mehdi, Prasanna, Prasanth, Hongzhi Wang, Syeda-Mahmood, Tanveer

“…Detection of calcified plaques in coronary arteries is helpful in cardiovascular disease risk assessment. This is often performed by radiologists on computed…”
Get full text

Best cases from the AFIP: giant cavernous hemangioma by Prasanna, Prasanth M, Fredericks, Scott E, Winn, Steven S, Christman, Robert A

Get full text

Automatic segmentation of the left ventricle into 17 anatomical regions in cardiac MR imaging by Xi Liang, Garnavi, Rahil, Wail, Simon, Sisi Liang, Prasanna, Prasanth

“…Analysis and characterization of anatomical segments in the left ventricle (LV) of the heart in cardiac MRI convey clinical significance. Based on the standard…”
Get full text