Rohini Gaikar
SPIE Involvement:
Author
Publications (5)

Proceedings Article | 3 April 2024 Poster + Paper
Proceedings Volume 12927, 1292730 (2024) https://doi.org/10.1117/12.3006838
KEYWORDS: Magnetic resonance imaging, Radiomics, Tumor growth modeling, Solids, Feature extraction, Machine learning, Education and training, Artificial neural networks, Image classification, Cross validation

Proceedings Article | 7 April 2023 Presentation + Paper
Proceedings Volume 12465, 124651M (2023) https://doi.org/10.1117/12.2653286
KEYWORDS: Kidney, Magnetic resonance imaging, Image segmentation, Cancer detection, Performance modeling, Tumor growth modeling, Data modeling, Deep learning

SPIE Journal Paper | 20 March 2023
Anush Agarwal, Gaikar Rohini, Schieda Nicola, Elfaal Mohamed WalaaEldin, Ukwatta Eranga
JMI, Vol. 10, Issue 02, 024501, (March 2023) https://doi.org/10.1117/12.10.1117/1.JMI.10.2.024501
KEYWORDS: Kidney, Image segmentation, Magnetic resonance imaging, Cancer detection, Data modeling, Solids, Education and training, Tumor growth modeling, Tissues, 3D modeling

SPIE Journal Paper | 16 June 2022
JMI, Vol. 9, Issue 03, 036001, (June 2022) https://doi.org/10.1117/12.10.1117/1.JMI.9.3.036001
KEYWORDS: Kidney, Image segmentation, Data modeling, Magnetic resonance imaging, 3D modeling, Performance modeling, Statistical modeling, 3D image processing, Tumor growth modeling, 3D acquisition

Proceedings Article | 4 April 2022 Poster + Presentation + Paper
Proceedings Volume 12036, 120361M (2022) https://doi.org/10.1117/12.2607526
KEYWORDS: Kidney, Image segmentation, Magnetic resonance imaging, 3D modeling, Data modeling, 3D image processing, Tumor growth modeling, Algorithm development, Tissues, Cancer

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