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Chetana Krishnan

Showing results (1-10 of 8) with videos related to

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Biomedical Physics & Engineering Express|September 10, 2025
Relevancy aware cascaded generative adversarial network for LSO-transmission image denoising in CT-less PETChetana Krishnan, Mohammadreza Teimoorisichani
Journal of Imaging Informatics in Medicine|February 28, 2025
Multi-attention Mechanism for Enhanced Pseudo-3D Prostate Zonal SegmentationChetana Krishnan, Ezinwanne Onuoha, Alex Hung, et al.
Medical & Biological Engineering & Computing|February 16, 2026
SynSAM: a hybrid synchronous learning framework with knowledge retention for prostate zonal segmentation leveraging the segment anything modelChetana Krishnan, Ezinwanne Onuoha, Alex Hung, et al.
Quantitative Imaging in Medicine and Surgery|March 12, 2026
Quantitative dynamic contrast-enhanced magnetic resonance imaging for renal perfusion measurement in autosomal dominant polycystic kidney diseaseEzinwanne E Onuoha, Martin D Holland, Chetana Krishnan, et al.
Current Medical Imaging|February 23, 2024
nnUNet for Automatic Kidney and Cyst Segmentation in Autosomal Dominant Polycystic Kidney DiseaseChetana Krishnan, Emma Schmidt, Ezinwanne Onuoha, et al.
Journal of Imaging Informatics in Medicine|May 22, 2025
AirSeg: Learnable Interconnected Attention Framework for Robust Airway SegmentationChetana Krishnan, Shah Hussain, Denise Stanford, et al.
Quantitative Imaging in Medicine and Surgery|May 19, 2025
Detecting pseudo versus true progression of glioblastoma via accurate quantitative DCE-MRI using point-of-care portable perfusion phantoms: a pilot studyMartin Holland, Chetana Krishnan, Houman Sotoudeh, et al.
Clinical Imaging|December 15, 2023
Deep learning-based automated kidney and cyst segmentation of autosomal dominant polycystic kidney disease using single vs. multi-institutional dataEmma K Schmidt, Chetana Krishnan, Ezinwanne Onuoha, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Biomedical Physics & Engineering Express|September 10, 2025
Relevancy aware cascaded generative adversarial network for LSO-transmission image denoising in CT-less PETChetana Krishnan, Mohammadreza Teimoorisichani
Journal of Imaging Informatics in Medicine|February 28, 2025
Multi-attention Mechanism for Enhanced Pseudo-3D Prostate Zonal SegmentationChetana Krishnan, Ezinwanne Onuoha, Alex Hung, et al.
Medical & Biological Engineering & Computing|February 16, 2026
SynSAM: a hybrid synchronous learning framework with knowledge retention for prostate zonal segmentation leveraging the segment anything modelChetana Krishnan, Ezinwanne Onuoha, Alex Hung, et al.
Quantitative Imaging in Medicine and Surgery|March 12, 2026
Quantitative dynamic contrast-enhanced magnetic resonance imaging for renal perfusion measurement in autosomal dominant polycystic kidney diseaseEzinwanne E Onuoha, Martin D Holland, Chetana Krishnan, et al.
Current Medical Imaging|February 23, 2024
nnUNet for Automatic Kidney and Cyst Segmentation in Autosomal Dominant Polycystic Kidney DiseaseChetana Krishnan, Emma Schmidt, Ezinwanne Onuoha, et al.
Journal of Imaging Informatics in Medicine|May 22, 2025
AirSeg: Learnable Interconnected Attention Framework for Robust Airway SegmentationChetana Krishnan, Shah Hussain, Denise Stanford, et al.
Quantitative Imaging in Medicine and Surgery|May 19, 2025
Detecting pseudo versus true progression of glioblastoma via accurate quantitative DCE-MRI using point-of-care portable perfusion phantoms: a pilot studyMartin Holland, Chetana Krishnan, Houman Sotoudeh, et al.
Clinical Imaging|December 15, 2023
Deep learning-based automated kidney and cyst segmentation of autosomal dominant polycystic kidney disease using single vs. multi-institutional dataEmma K Schmidt, Chetana Krishnan, Ezinwanne Onuoha, et al.
Pageof 1