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Guha Balakrishnan

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
Creating symbolic representations of electroencephalographic signals: an investigation of alternate methodologies on intracranial dataGuha Balakrishnan, Ali Shoeb, Zeeshan Syed
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Scalable customization of atrial fibrillation detection in cardiac monitoring devices: increasing detection accuracy through personalized monitoring in large patient populationsKuk Jin Jang, Guha Balakrishnan, Zeeshan Syed, et al.
Medical Image Analysis|July 28, 2019
Unsupervised learning of probabilistic diffeomorphic registration for images and surfacesAdrian V Dalca, Guha Balakrishnan, John Guttag, et al.
IEEE Transactions on Medical Imaging|February 5, 2019
VoxelMorph: A Learning Framework for Deformable Medical Image RegistrationGuha Balakrishnan, Amy Zhao, Mert R Sabuncu, et al.
Arxiv|May 7, 2024
Metric-Guided Conformal Bounds for Probabilistic Image ReconstructionMatt Y Cheung, Tucker J Netherton, Laurence E Court, et al.
Arxiv|February 20, 2025
When are Diffusion Priors Helpful in Sparse Reconstruction? A Study with Sparse-view CTMatt Y Cheung, Sophia Zorek, Tucker J Netherton, et al.
Research Square|February 23, 2026
PARQ: A Complexity-Consensus Aware Automatic Assessment of Motor Disease Severity in Parkinson's DiseaseIsha Chakraborty, Kaitlyn Trushenski, Salman Siddique Khan, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|September 19, 2024
Artificial intelligence uncertainty quantification in radiotherapy applications - A scoping reviewKareem A Wahid, Zaphanlene Y Kaffey, David P Farris, et al.
Medrxiv : the Preprint Server for Health Sciences|May 27, 2024
Artificial Intelligence Uncertainty Quantification in Radiotherapy Applications - A Scoping ReviewKareem A Wahid, Zaphanlene Y Kaffey, David P Farris, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
Creating symbolic representations of electroencephalographic signals: an investigation of alternate methodologies on intracranial dataGuha Balakrishnan, Ali Shoeb, Zeeshan Syed
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Scalable customization of atrial fibrillation detection in cardiac monitoring devices: increasing detection accuracy through personalized monitoring in large patient populationsKuk Jin Jang, Guha Balakrishnan, Zeeshan Syed, et al.
Medical Image Analysis|July 28, 2019
Unsupervised learning of probabilistic diffeomorphic registration for images and surfacesAdrian V Dalca, Guha Balakrishnan, John Guttag, et al.
IEEE Transactions on Medical Imaging|February 5, 2019
VoxelMorph: A Learning Framework for Deformable Medical Image RegistrationGuha Balakrishnan, Amy Zhao, Mert R Sabuncu, et al.
Arxiv|May 7, 2024
Metric-Guided Conformal Bounds for Probabilistic Image ReconstructionMatt Y Cheung, Tucker J Netherton, Laurence E Court, et al.
Arxiv|February 20, 2025
When are Diffusion Priors Helpful in Sparse Reconstruction? A Study with Sparse-view CTMatt Y Cheung, Sophia Zorek, Tucker J Netherton, et al.
Research Square|February 23, 2026
PARQ: A Complexity-Consensus Aware Automatic Assessment of Motor Disease Severity in Parkinson's DiseaseIsha Chakraborty, Kaitlyn Trushenski, Salman Siddique Khan, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|September 19, 2024
Artificial intelligence uncertainty quantification in radiotherapy applications - A scoping reviewKareem A Wahid, Zaphanlene Y Kaffey, David P Farris, et al.
Medrxiv : the Preprint Server for Health Sciences|May 27, 2024
Artificial Intelligence Uncertainty Quantification in Radiotherapy Applications - A Scoping ReviewKareem A Wahid, Zaphanlene Y Kaffey, David P Farris, et al.
Pageof 1