Ms. Rohini Gaikar Profile

Rohini Gaikar

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Publications (5)

Proceedings Article | 3 April 2024 Poster + Paper

Radiomics feature based benign vs. malignant characterization of solid renal masses on MRI

Rohini Gaikar, Azar Azad, Nicola Schieda, Eranga Ukwatta

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

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Proceedings Article | 7 April 2023 Presentation + Paper

Fully automated cascaded approach for renal mass detection on T2 weighted MRI images

Rohini Gaikar, Azar Azad, Nicola Schieda, Eranga Ukwatta

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

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SPIE Journal Paper | 20 March 2023

Deep-learning-based ensemble method for fully automated detection of renal masses on magnetic resonance images

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

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SPIE Journal Paper | 16 June 2022

Transfer learning-based approach for automated kidney segmentation on multiparametric MRI sequences

Rohini Gaikar, Fatemeh Zabihollahy, Mohamed Elfaal, Azar Azad, Nicola Schieda, Eranga Ukwatta

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

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Proceedings Article | 4 April 2022 Poster + Presentation + Paper

Transfer learning based fully automated kidney segmentation on MR images

Rohini Gaikar, Fatemeh Zabihollahy, Nadia Farrag, Mohamed Elfaal, Nicola Schieda, Eranga Ukwatta

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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