Dr. Mannudeep Kalra, MD

• Diagnostic Radiology

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• Nagpur University / Jawaharlal Nehru Medical College

  Medical School, 1996

• Prediction of coronary calcification and stenosis: Role of radiomics from Low-Dose CT, 2020-12-02

• Multifactorial Analysis of Mortality in Screening Detected Lung Cancer, 2018-05-16

• Effect of technologist and patient attributes on centering for body CT examinations: Influence of cultural and ethnic factors, 2022-08-19

• Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction, 2019-06-10

• Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN), 2017-06-13

• Knowledge-based Analysis for Mortality Prediction from CT Images, 2019-10-07

• COVLIAS 1.0 vs. MedSeg: Artificial Intelligence-Based Comparative Study for Automated COVID-19 Computed Tomography Lung Segmentation in Italian and Croatian Cohorts, 2021-12-15

• Ensemble Deep Learning Derived from Transfer Learning for Classification of COVID-19 Patients on Hybrid Deep-Learning-Based Lung Segmentation: A Data Augmentation and Balancing Framework, 2023-06-02

• Four Types of Multiclass Frameworks for Pneumonia Classification and Its Validation in X-ray Scans Using Seven Types of Deep Learning Artificial Intelligence Models, 2022-03-07

• 3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network, 2018-06-16

• Quadratic Autoencoder (Q-AE) for Low-dose CT Denoising, 2019-12-31

• Deploying Clinical Process Improvement Strategies to Reduce Motion Artifacts and Expiratory Phase Scanning in Chest CT, 2019-08-14

• Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography, 2021-05-20

• Clinical and imaging features predict mortality in COVID-19 infection in Iran, 2020-09-24

• Radiologist-Trained and -Tested (R2.2.4) Deep Learning Models for Identifying Anatomical Landmarks in Chest CT, 2022-07-30

• COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans, 2022-06-16

• Deep Learning-Based Four-Region Lung Segmentation in Chest Radiography for COVID-19 Diagnosis, 2022-01-03

• Inter-Variability Study of COVLIAS 1.0: Hybrid Deep Learning Models for COVID-19 Lung Segmentation in Computed Tomography, 2021-11-01

• Accurate auto-labeling of chest X-ray images based on quantitative similarity to an explainable AI model, 2022-04-06

• Suboptimal Chest Radiography and Artificial Intelligence: The Problem and the Solution, 2023-01-23

• Performance of a Chest Radiography AI Algorithm for Detection of Missed or Mislabeled Findings: A Multicenter Study, 2022-08-28

• Frequency of Missed Findings on Chest Radiographs (CXRs) in an International, Multicenter Study: Application of AI to Reduce Missed Findings, 2022-09-30

• Segmentation-Based Classification Deep Learning Model Embedded with Explainable AI for COVID-19 Detection in Chest X-ray Scans, 2022-09-02

• Deep learning in chest radiography: Detection of findings and presence of change, 2018-10-04

• Artificial intelligence matches subjective severity assessment of pneumonia for prediction of patient outcome and need for mechanical ventilation: a cohort study, 2021-01-13

• Evaluation of GPU-Based CT Reconstruction for Morbidly Obese Patients, 2017-01-09

• Comparison Between Pre-log and Post-log Statistical Models in Ultra-Low-Dose CT Reconstruction, 2016-11-09

• Auto-Detection of Motion Artifacts on CT Pulmonary Angiograms with a Physician-Trained AI Algorithm, 2023-02-18

• DermAI 1.0: A Robust, Generalized, and Novel Attention-Enabled Ensemble-Based Transfer Learning Paradigm for Multiclass Classification of Skin Lesion Images, 2023-10-09

• Multiphase abdomen-pelvis CT in women of childbearing potential (WOCBP) Justification and radiation dose, 2020-01-24

• Predicting malignant potential of subsolid nodules: can radiomics preempt longitudinal follow up CT?, 2019-06-10

• Validation of a Deep Learning Algorithm for the Detection of Malignant Pulmonary Nodules in Chest Radiographs Validation of Deep Learning Algorithm for Malignant Pulmonary Nodule Detection in Chest Radiographs, 2020-09-24

• Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss, 2018-06-21

• Validation pipeline for machine learning algorithm assessment for multiple vendors, 2022-04-29

• Standardization and Optimization of Computed Tomography Protocols to Achieve Low-Dose, 2014-03-13

• Development and validation of image quality scoring criteria (IQSC) for pediatric CT: a preliminary study, 2019-09-23

• Prioritizing Examination-Centered over Patient-Centered Dose Reduction: A Hazard of Institutional "Benchmarking”, 2014-09-16

• CovidCTNet: an open-source deep learning approach to diagnose covid-19 using small cohort of CT images, 2021-02-18