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Sivaramakrishnan Rajaraman

Showing results (1-10 of 59) with videos related to

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Diagnostics (Basel, Switzerland)|November 11, 2022
Editorial on Special Issue "Artificial Intelligence in Image-Based Screening, Diagnostics, and Clinical Care of Cardiopulmonary Diseases"Sivaramakrishnan Rajaraman, Sameer Antani
Diagnostics (Basel, Switzerland)|June 4, 2020
Weakly Labeled Data Augmentation for Deep Learning: A Study on COVID-19 Detection in Chest X-RaysSivaramakrishnan Rajaraman, Sameer Antani
Medrxiv : the Preprint Server for Health Sciences|June 9, 2020
Training deep learning algorithms with weakly labeled pneumonia chest X-ray data for COVID-19 detectionSivaramakrishnan Rajaraman, Sameer Antani
IEEE Access : Practical Innovations, Open Solutions|April 8, 2020
Modality-specific deep learning model ensembles toward improving TB detection in chest radiographsSivaramakrishnan Rajaraman, Sameer K Antani
Diagnostics (Basel, Switzerland)|April 17, 2019
Visual Interpretation of Convolutional Neural Network Predictions in Classifying Medical Image ModalitiesIncheol Kim, Sivaramakrishnan Rajaraman, Sameer Antani
Plos One|January 27, 2022
Deep learning model calibration for improving performance in class-imbalanced medical image classification tasksSivaramakrishnan Rajaraman, Prasanth Ganesan, Sameer Antani
Diagnostics (Basel, Switzerland)|September 14, 2024
Editorial on Special Issue "Artificial Intelligence in Image-Based Screening, Diagnostics, and Clinical Care"Sivaramakrishnan Rajaraman, Zhiyun Xue, Sameer Antani
Informatics in Medicine Unlocked|April 5, 2024
UMS-Rep: Unified modality-specific representation for efficient medical image analysisGhada Zamzmi, Sivaramakrishnan Rajaraman, Sameer Antani
Magnetic Resonance Imaging|August 29, 2012
Response to Andrew Melbourne, "comment on: automated registration of sequential breath-hold dynamic contrast-enhanced MR images: a comparison of three techniques"Sivaramakrishnan Rajaraman, Jeffrey J Rodriguez, Natarajan Raghunand
Peerj|March 27, 2020
Detection and visualization of abnormality in chest radiographs using modality-specific convolutional neural network ensemblesSivaramakrishnan Rajaraman, Incheol Kim, Sameer K Antani
Pageof 6

Showing results (1-10 of 59) with videos related to

Sort By:
Pageof 6
Diagnostics (Basel, Switzerland)|November 11, 2022
Editorial on Special Issue "Artificial Intelligence in Image-Based Screening, Diagnostics, and Clinical Care of Cardiopulmonary Diseases"Sivaramakrishnan Rajaraman, Sameer Antani
Diagnostics (Basel, Switzerland)|June 4, 2020
Weakly Labeled Data Augmentation for Deep Learning: A Study on COVID-19 Detection in Chest X-RaysSivaramakrishnan Rajaraman, Sameer Antani
Medrxiv : the Preprint Server for Health Sciences|June 9, 2020
Training deep learning algorithms with weakly labeled pneumonia chest X-ray data for COVID-19 detectionSivaramakrishnan Rajaraman, Sameer Antani
IEEE Access : Practical Innovations, Open Solutions|April 8, 2020
Modality-specific deep learning model ensembles toward improving TB detection in chest radiographsSivaramakrishnan Rajaraman, Sameer K Antani
Diagnostics (Basel, Switzerland)|April 17, 2019
Visual Interpretation of Convolutional Neural Network Predictions in Classifying Medical Image ModalitiesIncheol Kim, Sivaramakrishnan Rajaraman, Sameer Antani
Plos One|January 27, 2022
Deep learning model calibration for improving performance in class-imbalanced medical image classification tasksSivaramakrishnan Rajaraman, Prasanth Ganesan, Sameer Antani
Diagnostics (Basel, Switzerland)|September 14, 2024
Editorial on Special Issue "Artificial Intelligence in Image-Based Screening, Diagnostics, and Clinical Care"Sivaramakrishnan Rajaraman, Zhiyun Xue, Sameer Antani
Informatics in Medicine Unlocked|April 5, 2024
UMS-Rep: Unified modality-specific representation for efficient medical image analysisGhada Zamzmi, Sivaramakrishnan Rajaraman, Sameer Antani
Magnetic Resonance Imaging|August 29, 2012
Response to Andrew Melbourne, "comment on: automated registration of sequential breath-hold dynamic contrast-enhanced MR images: a comparison of three techniques"Sivaramakrishnan Rajaraman, Jeffrey J Rodriguez, Natarajan Raghunand
Peerj|March 27, 2020
Detection and visualization of abnormality in chest radiographs using modality-specific convolutional neural network ensemblesSivaramakrishnan Rajaraman, Incheol Kim, Sameer K Antani
Pageof 6