Mannudeep K. Kalra

Orcid: 0000-0001-9938-7476

According to our database1, Mannudeep K. Kalra authored at least 51 papers between 2009 and 2024.

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Bibliography

2024
Scalable Drift Monitoring in Medical Imaging AI.
CoRR, 2024

Cross-Institutional Structured Radiology Reporting for Lung Cancer Screening Using a Dynamic Template-Constrained Large Language Model.
CoRR, 2024

Explaining Chest X-ray Pathology Models using Textual Concepts.
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

Disease-Informed Adaptation of Vision-Language Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Cardiovascular Disease Detection from Multi-view Chest X-Rays with BI-Mamba.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
Fact-Checking of AI-Generated Reports.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

2022
X-ray Dissectography Improves Lung Nodule Detection.
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.
Comput. Biol. Medicine, 2022

An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review.
Comput. Biol. Medicine, 2022

Overlooked Trustworthiness of Saliency Maps.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Deep Interactive Denoiser (DID) for X-Ray Computed Tomography.
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

Quantifying and leveraging predictive uncertainty for medical image assessment.
Medical Image Anal., 2021

Integrative analysis for COVID-19 patient outcome prediction.
Medical Image Anal., 2021

Multicenter Assessment of CT Pneumonia Analysis Prototype for Predicting Disease Severity and Patient Outcome.
J. Digit. Imaging, 2021

AI-Enabled Ultra-Low-Dose CT Reconstruction.
CoRR, 2021

Association of AI quantified COVID-19 chest CT and patient outcome.
Int. J. Comput. Assist. Radiol. Surg., 2021

Cardiovascular Disease Risk Improves COVID-19 Patient Outcome Prediction.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

2020
Quadratic Autoencoder (Q-AE) for Low-Dose CT Denoising.
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

Knowledge-Based Analysis for Mortality Prediction From CT Images.
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

Accuracy of radiomics for differentiating diffuse liver diseases on non-contrast CT.
Int. J. Comput. Assist. Radiol. Surg., 2020

Multi-task learning for mortality prediction in LDCT images.
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

Hybrid Neural Networks for Mortality Prediction from LDCT Images.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Generative Low-Dose CT Image Denoising.
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

Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods?
CoRR, 2018

Soft Activation Mapping of Lung Nodules in Low-Dose CT images.
CoRR, 2018

Hybrid deep neural networks for all-cause Mortality Prediction from LDCT Images.
CoRR, 2018

2017
Comparison Between Pre-Log and Post-Log Statistical Models in Ultra-Low-Dose CT Reconstruction.
IEEE Trans. Medical Imaging, 2017

Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network.
IEEE Trans. Medical Imaging, 2017

Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss.
CoRR, 2017

CT Image Denoising with Perceptive Deep Neural Networks.
CoRR, 2017

Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN).
CoRR, 2017

Hybrid Imaging System for Simultaneous Spiral MR and X-ray (MRX) Scans.
IEEE Access, 2017

2016
Upper-Bound on Dose Reduction in CT Reconstruction for Nodule Detection.
IEEE Access, 2016

2012
Automated Quantification of Pneumothorax in CT.
Comput. Math. Methods Medicine, 2012

2010
A variational approach for reconstructing low dose images in clinical helical CT.
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.
J. Digit. Imaging, 2009

Accurate Model-Based High Resolution Cardiac Image Reconstruction in Dual Source CT.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009


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