Mannudeep K. Kalra

According to our database, Mannudeep K. Kalra authored at least 45 papers between 2009 and 2023.

Collaborative distances:

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

2023

Fact-Checking of AI-Generated Reports.

Razi Mahmood, Ge Wang, Mannudeep K. Kalra, Pingkun Yan

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

2022

X-ray Dissectography Improves Lung Nodule Detection.

Chuang Niu, Giridhar Dasegowda, Pingkun Yan, Mannudeep K. Kalra, Ge Wang

CoRR, 2022

Far wall plaque segmentation and area measurement in common and internal carotid artery ultrasound using U-series architectures: An unseen Artificial Intelligence paradigm for stroke risk assessment.

Pankaj Kumar Jain, Neeraj Sharma, Mannudeep K. Kalra, Amer M. Johri, Luca Saba, Jasjit S. Suri

Comput. Biol. Medicine, 2022

An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review.

Suchismita Das, Gopal Krishna Nayak, Luca Saba, Mannudeep K. Kalra, Jasjit S. Suri, Sanjay Saxena

Comput. Biol. Medicine, 2022

Overlooked Trustworthiness of Saliency Maps.

Jiajin Zhang, Hanqing Chao, Giridhar Dasegowda, Ge Wang, Mannudeep K. Kalra, Pingkun Yan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Deep Interactive Denoiser (DID) for X-Ray Computed Tomography.

Ti Bai, Biling Wang, Dan Nguyen, Bao Wang, Bin Dong, Wenxiang Cong, Mannudeep K. Kalra, Steve B. Jiang

IEEE Trans. Medical Imaging, 2021

CovidCTNet: an open-source deep learning approach to diagnose covid-19 using small cohort of CT images.

Tahereh Javaheri, Morteza Homayounfar, Zohreh Amoozgar, Reza Reiazi, Fatemeh Homayounieh, Engy Abbas, Azadeh Laali, Amir Reza Radmard, Mohammad Hadi Gharib, Seyed Ali Javad Mousavi, Omid Ghaemi, Rosa Babaei, Hadi Karimi Mobin, Mehdi Hosseinzadeh, Rana Jahanban-Esfahlan, Khaled Seidi, Mannudeep K. Kalra, Guanglan Zhang, Lubomir T. Chitkushev, Benjamin Haibe-Kains, Reza Malekzadeh, Reza Rawassizadeh

npj Digit. Medicine, 2021

Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19.

Aoxiao Zhong, Xiang Li, Dufan Wu, Hui Ren, Kyung Sang Kim, Young-Gon Kim, Varun Buch, Nir Neumark, Bernardo Bizzo, Won Young Tak, Soo Young Park, Yu Rim Lee, Min Kyu Kang, Jung Gil Park, Byung Seok Kim, Woo Jin Chung, Ning Guo, Ittai Dayan, Mannudeep K. Kalra, Quanzheng Li

Medical Image Anal., 2021

Quantifying and leveraging predictive uncertainty for medical image assessment.

Florin C. Ghesu, Bogdan Georgescu, Awais Mansoor, Youngjin Yoo, Eli Gibson, R. S. Vishwanath, Abishek Balachandran, James M. Balter, Yue Cao, Ramandeep Singh, Subba R. Digumarthy, Mannudeep K. Kalra, Sasa Grbic, Dorin Comaniciu

Medical Image Anal., 2021

Integrative analysis for COVID-19 patient outcome prediction.

Hanqing Chao, Xi Fang, Jiajin Zhang, Fatemeh Homayounieh, Chiara Daniela Arru, Subba R. Digumarthy, Rosa Babaei, Hadi Karimi Mobin, Iman Mohseni, Luca Saba, Alessandro Carriero, Zeno Falaschi, Alessio Pasche, Ge Wang, Mannudeep K. Kalra, Pingkun Yan

Medical Image Anal., 2021

Multicenter Assessment of CT Pneumonia Analysis Prototype for Predicting Disease Severity and Patient Outcome.

Fatemeh Homayounieh, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Shadi Ebrahimian, Ruhani Doda Khera, Bernardo C. Bizzo, Varun Buch, Rosa Babaei, Hadi Karimi Mobin, Iman Mohseni, Matthias Mitschke, Mathis Zimmermann, Felix Durlak, Franziska Rauch, Subba R. Digumarthy, Mannudeep K. Kalra

J. Digit. Imaging, 2021

AI-Enabled Ultra-Low-Dose CT Reconstruction.

Weiwen Wu, Chuang Niu, Shadi Ebrahimian, Hengyong Yu, Mannudeep K. Kalra, Ge Wang

CoRR, 2021

Association of AI quantified COVID-19 chest CT and patient outcome.

Xi Fang, Uwe Kruger, Fatemeh Homayounieh, Hanqing Chao, Jiajin Zhang, Subba R. Digumarthy, Chiara Daniela Arru, Mannudeep K. Kalra, Pingkun Yan

Int. J. Comput. Assist. Radiol. Surg., 2021

Cardiovascular Disease Risk Improves COVID-19 Patient Outcome Prediction.

Diego Machado Reyes, Hanqing Chao, Fatemeh Homayounieh, Juergen Hahn, Mannudeep K. Kalra, Pingkun Yan

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

2020

Quadratic Autoencoder (Q-AE) for Low-Dose CT Denoising.

Fenglei Fan, Hongming Shan, Mannudeep K. Kalra, Ramandeep Singh, Guhan Qian, Matthew Getzin, Yueyang Teng, Juergen Hahn, Ge Wang

IEEE Trans. Medical Imaging, 2020

Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels.

Dufan Wu, Kuang Gong, Chiara Daniela Arru, Fatemeh Homayounieh, Bernardo Bizzo, Varun Buch, Hui Ren, Kyung Sang Kim, Nir Neumark, Pengcheng Xu, Zhiyuan Liu, Wei Fang, Nuobei Xie, Won Young Tak, Soo Young Park, Yu Rim Lee, Min Kyu Kang, Jung Gil Park, Alessandro Carriero, Luca Saba, Mahsa Masjedi, Hamidreza Talari, Rosa Babaei, Hadi Karimi Mobin, Shadi Ebrahimian, Ittai Dayan, Mannudeep K. Kalra, Quanzheng Li

IEEE J. Biomed. Health Informatics, 2020

Knowledge-Based Analysis for Mortality Prediction From CT Images.

Hengtao Guo, Uwe Kruger, Ge Wang, Mannudeep K. Kalra, Pingkun Yan

IEEE J. Biomed. Health Informatics, 2020

Shape and margin-aware lung nodule classification in low-dose CT images via soft activation mapping.

Yiming Lei, Yukun Tian, Hongming Shan, Junping Zhang, Ge Wang, Mannudeep K. Kalra

Medical Image Anal., 2020

Viewing Imaging Studies: How Patient Location and Imaging Site Affect Referring Physicians.

Fatemeh Homayounieh, Ramandeep Singh, Tianqi Chen, Ellen J. Sugarman, Thomas J. Schultz, Subba R. Digumarthy, Keith J. Dreyer, Mannudeep K. Kalra

J. Digit. Imaging, 2020

Deep Learning-based Four-region Lung Segmentation in Chest Radiography for COVID-19 Diagnosis.

Young-Gon Kim, Kyung Sang Kim, Dufan Wu, Hui Ren, Won Young Tak, Soo Young Park, Yu Rim Lee, Min Kyu Kang, Jung Gil Park, Byung Seok Kim, Woo Jin Chung, Mannudeep K. Kalra, Quanzheng Li

CoRR, 2020

Deep Learning Predicts Cardiovascular Disease Risks from Lung Cancer Screening Low Dose Computed Tomography.

Hanqing Chao, Hongming Shan, Fatemeh Homayounieh, Ramandeep Singh, Ruhani Doda Khera, Hengtao Guo, Timothy Su, Ge Wang, Mannudeep K. Kalra, Pingkun Yan

CoRR, 2020

CovidCTNet: An Open-Source Deep Learning Approach to Identify Covid-19 Using CT Image.

Tahereh Javaheri, Morteza Homayounfar, Zohreh Amoozgar, Reza Reiazi, Fatemeh Homayounieh, Engy Abbas, Azadeh Laali, Amir Reza Radmard, Mohammad Hadi Gharib, Seyed Ali Javad Mousavi, Omid Ghaemi, Rosa Babaei, Hadi Karimi Mobin, Mehdi Hosseinzadeh, Rana Jahanban-Esfahlan, Khaled Seidi, Mannudeep K. Kalra, Guanglan Zhang, Lubomir T. Chitkushev, Benjamin Haibe-Kains, Reza Malekzadeh, Reza Rawassizadeh

CoRR, 2020

Accuracy of radiomics for differentiating diffuse liver diseases on non-contrast CT.

Fatemeh Homayounieh, Sanjay Saini, Leila Mostafavi, Ruhani Doda Khera, Michael Sühling, Bernhard Schmidt, Ramandeep Singh, Thomas Flohr, Mannudeep K. Kalra

Int. J. Comput. Assist. Radiol. Surg., 2020

Multi-task learning for mortality prediction in LDCT images.

Hengtao Guo, Melanie Krüger, Ge Wang, Mannudeep K. Kalra, Pingkun Yan

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019

Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction.

Hongming Shan, Atul Padole, Fatemeh Homayounieh, Uwe Kruger, Ruhani Doda Khera, Chayanin Nitiwarangkul, Mannudeep K. Kalra, Ge Wang

Nat. Mach. Intell., 2019

Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment.

Florin C. Ghesu, Bogdan Georgescu, Eli Gibson, Sebastian Gündel, Mannudeep K. Kalra, Ramandeep Singh, Subba R. Digumarthy, Sasa Grbic, Dorin Comaniciu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Hybrid Neural Networks for Mortality Prediction from LDCT Images.

Pingkun Yan, Hengtao Guo, Ge Wang, Ruben De Man, Mannudeep K. Kalra

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Generative Low-Dose CT Image Denoising.

Qingsong Yang, Pingkun Yan, Yanbo Zhang, Hengyong Yu, Yongyi Shi, Xuanqin Mou, Mannudeep K. Kalra, Yi Zhang, Ling Sun, Ge Wang

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

2018

Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss.

Qingsong Yang, Pingkun Yan, Yanbo Zhang, Hengyong Yu, Yongyi Shi, Xuanqin Mou, Mannudeep K. Kalra, Yi Zhang, Ling Sun, Ge Wang

IEEE Trans. Medical Imaging, 2018

Correction for "3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2D Trained Network".

Hongming Shan, Yi Zhang, Qingsong Yang, Uwe Kruger, Mannudeep K. Kalra, Ling Sun, Wenxiang Cong, Ge Wang

IEEE Trans. Medical Imaging, 2018

3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network.

Hongming Shan, Yi Zhang, Qingsong Yang, Uwe Kruger, Mannudeep K. Kalra, Ling Sun, Wenxiang Cong, Ge Wang

IEEE Trans. Medical Imaging, 2018

Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods?

Hongming Shan, Atul Padole, Fatemeh Homayounieh, Uwe Krüger, Ruhani Doda Khera, Chayanin Nitiwarangkul, Mannudeep K. Kalra, Ge Wang

CoRR, 2018

Soft Activation Mapping of Lung Nodules in Low-Dose CT images.

Yiming Lei, Yukun Tian, Hongming Shan, Junping Zhang, Ge Wang, Mannudeep K. Kalra

CoRR, 2018

Hybrid deep neural networks for all-cause Mortality Prediction from LDCT Images.

Pingkun Yan, Hengtao Guo, Ge Wang, Ruben De Man, Mannudeep K. Kalra

CoRR, 2018

2017

Comparison Between Pre-Log and Post-Log Statistical Models in Ultra-Low-Dose CT Reconstruction.

Lin Fu, Tzu-Cheng Lee, Soo Mee Kim, Adam M. Alessio, Paul E. Kinahan, Zhiqian Chang, Ken D. Sauer, Mannudeep K. Kalra, Bruno De Man

IEEE Trans. Medical Imaging, 2017

Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network.

Hu Chen, Yi Zhang, Mannudeep K. Kalra, Feng Lin, Yang Chen, Peixi Liao, Jiliu Zhou, Ge Wang

IEEE Trans. Medical Imaging, 2017

Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss.

Qingsong Yang, Pingkun Yan, Yanbo Zhang, Hengyong Yu, Yongyi Shi, Xuanqin Mou, Mannudeep K. Kalra, Ge Wang

CoRR, 2017

CT Image Denoising with Perceptive Deep Neural Networks.

Qingsong Yang, Pingkun Yan, Mannudeep K. Kalra, Ge Wang

CoRR, 2017

Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN).

Hu Chen, Yi Zhang, Mannudeep K. Kalra, Feng Lin, Peixi Liao, Jiliu Zhou, Ge Wang

CoRR, 2017

Hybrid Imaging System for Simultaneous Spiral MR and X-ray (MRX) Scans.

Lars Gjesteby, Yan Xi, Mannudeep K. Kalra, Qingsong Yang, Ge Wang

IEEE Access, 2017

2016

Upper-Bound on Dose Reduction in CT Reconstruction for Nodule Detection.

Ruben De Man, Ge Wang, Mannudeep K. Kalra, Alexi Otrakji, Scott S. Hsieh, Norbert J. Pelc

IEEE Access, 2016

2012

Automated Quantification of Pneumothorax in CT.

Synho Do, Kristen Salvaggio, Supriya Gupta, Mannudeep K. Kalra, Nabeel U. Ali, Homer H. Pien

Comput. Math. Methods Medicine, 2012

2010

A variational approach for reconstructing low dose images in clinical helical CT.

Synho Do, W. Clem Karl, Mannudeep K. Kalra, Thomas J. Brady, Homer H. Pien

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009

Use of Radcube for Extraction of Finding Trends in a Large Radiology Practice.

Pragya A. Dang, Mannudeep K. Kalra, Michael A. Blake, Thomas J. Schultz, Markus Stout, Elkan F. Halpern, Keith J. Dreyer

J. Digit. Imaging, 2009

Accurate Model-Based High Resolution Cardiac Image Reconstruction in Dual Source CT.

Synho Do, Sanghee Cho, W. Clem Karl, Mannudeep K. Kalra, Thomas J. Brady, Homer H. Pien

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009