Search Results - "Kalra, Mannudeep K"

3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network by Shan, Hongming, Zhang, Yi, Yang, Qingsong, Kruger, Uwe, Kalra, Mannudeep K., Sun, Ling, Cong, Wenxiang, Wang, Ge

“…Low-dose computed tomography (LDCT) has attracted major attention in the medical imaging field, since CT-associated X-ray radiation carries health risks for…”
Get full text

Deep learning in chest radiography: Detection of findings and presence of change by Singh, Ramandeep, Kalra, Mannudeep K, Nitiwarangkul, Chayanin, Patti, John A, Homayounieh, Fatemeh, Padole, Atul, Rao, Pooja, Putha, Preetham, Muse, Victorine V, Sharma, Amita, Digumarthy, Subba R

“…Deep learning (DL) based solutions have been proposed for interpretation of several imaging modalities including radiography, CT, and MR. For chest…”
Get full text

Image Quality and Lesion Detection on Deep Learning Reconstruction and Iterative Reconstruction of Submillisievert Chest and Abdominal CT by Singh, Ramandeep, Digumarthy, Subba R, Muse, Victorine V, Kambadakone, Avinash R, Blake, Michael A, Tabari, Azadeh, Hoi, Yiemeng, Akino, Naruomi, Angel, Erin, Madan, Rachna, Kalra, Mannudeep K

“…The objective of this study was to compare image quality and clinically significant lesion detection on deep learning reconstruction (DLR) and iterative…”
Get full text

Chest CT practice and protocols for COVID-19 from radiation dose management perspective by Kalra, Mannudeep K., Homayounieh, Fatemeh, Arru, Chiara, Holmberg, Ola, Vassileva, Jenia

“…The global pandemic of coronavirus disease 2019 (COVID-19) has upended the world with over 6.6 million infections and over 391,000 deaths worldwide…”
Get full text

CT radiation dose and iterative reconstruction techniques by Padole, Atul, Ali Khawaja, Ranish Deedar, Kalra, Mannudeep K, Singh, Sarabjeet

“…1. CT radiation dose optimization is one of the major concerns for the scientific community. 2. CT image quality is dependent on the selected image…”
Get full text

Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction by Shan, Hongming, Padole, Atul, Homayounieh, Fatemeh, Kruger, Uwe, Khera, Ruhani Doda, Nitiwarangkul, Chayanin, Kalra, Mannudeep K., Wang, Ge

“…Commercial iterative reconstruction techniques help to reduce the radiation dose of computed tomography (CT), but altered image appearance and artefacts can…”
Get full text

FDA-regulated AI Algorithms: Trends, Strengths, and Gaps of Validation Studies by Ebrahimian, Shadi, Kalra, Mannudeep K., Agarwal, Sheela, Bizzo, Bernardo C., Elkholy, Mona, Wald, Christoph, Allen, Bibb, Dreyer, Keith J.

“…To assess key trends, strengths, and gaps in validation studies of the Food and Drug Administration (FDA)-regulated imaging-based artificial…”
Get full text

A method of rapid quantification of patient‐specific organ doses for CT using deep‐learning‐based multi‐organ segmentation and GPU‐accelerated Monte Carlo dose computing by Peng, Zhao, Fang, Xi, Yan, Pingkun, Shan, Hongming, Liu, Tianyu, Pei, Xi, Wang, Ge, Liu, Bob, Kalra, Mannudeep K., Xu, X. George

“…Purpose One technical barrier to patient‐specific computed tomography (CT) dosimetry has been the lack of computational tools for the automatic…”
Get full text

Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography by Chao, Hanqing, Shan, Hongming, Homayounieh, Fatemeh, Singh, Ramandeep, Khera, Ruhani Doda, Guo, Hengtao, Su, Timothy, Wang, Ge, Kalra, Mannudeep K., Yan, Pingkun

“…Cancer patients have a higher risk of cardiovascular disease (CVD) mortality than the general population. Low dose computed tomography (LDCT) for lung cancer…”
Get full text

Abdominal CT: Comparison of Adaptive Statistical Iterative and Filtered Back Projection Reconstruction Techniques by SINGH, Sarabjeet, KALRA, Mannudeep K, JIANG HSIEH, LICATO, Paul E, DO, Synho, PIEN, Homer H, BLAKE, Michael A

“…To compare image quality and lesion conspicuity on abdominal computed tomographic (CT) images acquired with different x-ray tube current-time products (50-200…”
Get full text

Clinical and imaging features predict mortality in COVID-19 infection in Iran by Homayounieh, Fatemeh, Zhang, Eric W, Babaei, Rosa, Karimi Mobin, Hadi, Sharifian, Maedeh, Mohseni, Iman, Kuo, Anderson, Arru, Chiara, Kalra, Mannudeep K, Digumarthy, Subba R

“…The new coronavirus disease 2019 (COVID-19) pandemic has challenged many healthcare systems around the world. While most of the current understanding of the…”
Get full text

AI-based improvement in lung cancer detection on chest radiographs: results of a multi-reader study in NLST dataset by Yoo, Hyunsuk, Lee, Sang Hyup, Arru, Chiara Daniela, Doda Khera, Ruhani, Singh, Ramandeep, Siebert, Sean, Kim, Dohoon, Lee, Yuna, Park, Ju Hyun, Eom, Hye Joung, Digumarthy, Subba R., Kalra, Mannudeep K.

“…Objective Assess if deep learning–based artificial intelligence (AI) algorithm improves reader performance for lung cancer detection on chest X-rays (CXRs)…”
Get full text

Adaptive Statistical Iterative Reconstruction Technique for Radiation Dose Reduction in Chest CT: A Pilot Study by SINGH, Sarabjeet, KALRA, Mannudeep K, GILMAN, Matthew D, HSIEH, Jiang, PIEN, Homer H, DIGUMARTHY, Subba R, SHEPARD, Jo-Anne O

“…To compare lesion detection and image quality of chest computed tomographic (CT) images acquired at various tube current-time products (40-150 mAs) and…”
Get full text

CT Radiation: Key Concepts for Gentle and Wise Use by Kalra, Mannudeep K, Sodickson, Aaron D, Mayo-Smith, William W

“…Use of computed tomography (CT) in medicine comes with the responsibility of its appropriate (wise) and safe (gentle) application to obtain required diagnostic…”
Get full text

Validation of a Deep Learning Algorithm for the Detection of Malignant Pulmonary Nodules in Chest Radiographs by Yoo, Hyunsuk, Kim, Ki Hwan, Singh, Ramandeep, Digumarthy, Subba R, Kalra, Mannudeep K

“…The improvement of pulmonary nodule detection, which is a challenging task when using chest radiographs, may help to elevate the role of chest radiographs for…”
Get full text

Accurate auto-labeling of chest X-ray images based on quantitative similarity to an explainable AI model by Kim, Doyun, Chung, Joowon, Choi, Jongmun, Succi, Marc D., Conklin, John, Longo, Maria Gabriela Figueiro, Ackman, Jeanne B., Little, Brent P., Petranovic, Milena, Kalra, Mannudeep K., Lev, Michael H., Do, Synho

“…The inability to accurately, efficiently label large, open-access medical imaging datasets limits the widespread implementation of artificial intelligence…”
Get full text

Tube potential and CT radiation dose optimization by Lira, Diego, Padole, Atul, Kalra, Mannudeep K, Singh, Sarabjeet

“…This article describes tube potential and its effect on image quality and radiation dose for CT in different body regions and clinical indications. Tube…”
Get full text

Integrative analysis for COVID-19 patient outcome prediction by Chao, Hanqing, Fang, Xi, Zhang, Jiajin, Homayounieh, Fatemeh, Arru, Chiara D., Digumarthy, Subba R., Babaei, Rosa, Mobin, Hadi K., Mohseni, Iman, Saba, Luca, Carriero, Alessandro, Falaschi, Zeno, Pasche, Alessio, Wang, Ge, Kalra, Mannudeep K., Yan, Pingkun

“…•Holistic information in COVID-19 patients with imaging and non-imaging data can help predict patient outcome in terms of the need for ICU…”
Get full text

Characterization of Adrenal Masses by Using FDG PET: A Systematic Review and Meta-Analysis of Diagnostic Test Performance by BOLAND, Giles W. L, DWAMENA, Ben A, MINAL JAGTIANI SANGWAIYA, GOEHLER, Alexander G, BLAKE, Michael A, HAHN, Peter F, SCOTT, James A, KALRA, Mannudeep K

“…To perform a systematic review and meta-analysis of published data to determine the diagnostic utility of adrenal fluorine 18 fluorodeoxyglucose (FDG) positron…”
Get full text

Effect of technologist and patient attributes on centering for body CT examinations: Influence of cultural and ethnic factors by Aly, Antar, Ebrahimian, Shadi, Kharita, Mohammed H, Heidous, Mahmoud, Ashruf, Mohammad Zaya, Kumar, Davendra, Kalra, Mannudeep K, Al Naemi, Huda Mohd

“…There are no published data on the effect of patient and technologist gender and ethnicity attributes on off-centering in CT. Therefore, we assessed the impact…”
Get full text