Mannudeep K. Kalra
Orcid: 0000-0001-9938-7476
According to our database1,
Mannudeep K. Kalra
authored at least 51 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
On csauthors.net:
Bibliography
2024
Cross-Institutional Structured Radiology Reporting for Lung Cancer Screening Using a Dynamic Template-Constrained Large Language Model.
CoRR, 2024
MultiNet 2.0: A lightweight attention-based deep learning network for stenosis measurement in carotid ultrasound scans and cardiovascular risk assessment.
Comput. Medical Imaging Graph., 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
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.
Comput. Biol. Medicine, 2022
An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review.
Comput. Biol. Medicine, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
IEEE Trans. Medical Imaging, 2021
CovidCTNet: an open-source deep learning approach to diagnose covid-19 using small cohort of CT images.
npj Digit. Medicine, 2021
Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19.
Medical Image Anal., 2021
Medical Image Anal., 2021
Medical Image Anal., 2021
Multicenter Assessment of CT Pneumonia Analysis Prototype for Predicting Disease Severity and Patient Outcome.
J. Digit. Imaging, 2021
Int. J. Comput. Assist. Radiol. Surg., 2021
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
2020
IEEE Trans. Medical Imaging, 2020
Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels.
IEEE J. Biomed. Health Informatics, 2020
IEEE J. Biomed. Health Informatics, 2020
Shape and margin-aware lung nodule classification in low-dose CT images via soft activation mapping.
Medical Image Anal., 2020
Viewing Imaging Studies: How Patient Location and Imaging Site Affect Referring Physicians.
J. Digit. Imaging, 2020
Deep Learning-based Four-region Lung Segmentation in Chest Radiography for COVID-19 Diagnosis.
CoRR, 2020
Deep Learning Predicts Cardiovascular Disease Risks from Lung Cancer Screening Low Dose Computed Tomography.
CoRR, 2020
CovidCTNet: An Open-Source Deep Learning Approach to Identify Covid-19 Using CT Image.
CoRR, 2020
Int. J. Comput. Assist. Radiol. Surg., 2020
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.
Nat. Mach. Intell., 2019
Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
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.
IEEE Trans. Medical Imaging, 2018
Correction for "3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2D Trained Network".
IEEE Trans. Medical Imaging, 2018
3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network.
IEEE Trans. Medical Imaging, 2018
CoRR, 2018
CoRR, 2018
2017
Comparison Between Pre-Log and Post-Log Statistical Models in Ultra-Low-Dose CT Reconstruction.
IEEE Trans. Medical Imaging, 2017
IEEE Trans. Medical Imaging, 2017
Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss.
CoRR, 2017
CoRR, 2017
IEEE Access, 2017
2016
IEEE Access, 2016
2012
2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
2009
J. Digit. Imaging, 2009
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009