Prof. Monika Joshi Profile

Prof. Monika Joshi

at Pennsylvania State Univ

SPIE Involvement:

Author

Publications (3)

Proceedings Article | 7 April 2023 Poster + Paper

Survival prediction for patients with metastatic urothelial cancer after immunotherapy using machine learning

Rain Tarango, Lubomir Hadjiiski, Ajjai Alva, Heang-Ping Chan, Richard Cohan, Elaine Caoili, Kenny Cha, Ravi Samala, Alon Weizer, Chuan Zhou, Monika Joshi, Yousef Zakharia

Proceedings Volume 12465, 124653A (2023) https://doi.org/10.1117/12.2655482

KEYWORDS: Tumors, Education and training, Machine learning, Cancer, Computed tomography, Artificial neural networks, Data modeling, Tumor growth modeling, Statistical analysis, Diseases and disorders

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Proceedings Article | 4 April 2022 Presentation + Paper

Effect of computerized decision support on diagnostic accuracy and intra-observer variability in multi-institutional observer performance study for bladder cancer treatment response assessment in CT urography

Di Sun, Lubomir Hadjiiski, Rohan Garje, Yousef Zakharia, Lauren Pomerantz, Monika Joshi, Ajjai Alva, Heang-Ping Chan, Richard Cohan, Elaine Caoili, Kenny Cha, Galina Kirova-Nedyalkova, Matthew Davenport, Prasad Shankar, Isaac Francis, Kimberly Shampain, Nathaniel Meyer, Daniel Barkmeier, Sean Woolen, Phillip Palmbos, Alon Weizer, Ravi Samala, Chuan Zhou, Martha Matuszak

Proceedings Volume 12033, 120330G (2022) https://doi.org/10.1117/12.2611179

KEYWORDS: Bladder cancer, Cancer, Computed tomography, Statistical analysis, Diagnostics, Computer aided diagnosis and therapy, Computer aided design, Radiology, Decision support systems

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Proceedings Article | 18 February 2021 Presentation + Paper

Multi-institutional observer performance study for bladder cancer treatment response assessment in CT urography with and without computerized decision support

Lubomir Hadjiiski, Monika Joshi, Ajjai Alva, Heang-Ping Chan, Richard Cohan, Elaine Caoili, Galina Kirova-Nedyalkova, Matthew Davenport, Prasad Shankar, Isaac Francis, Kenny Cha, Ravi Samala, Phillip Palmbos, Alon Weizer

Proceedings Volume 11597, 115971K (2021) https://doi.org/10.1117/12.2582331

KEYWORDS: Bladder cancer, Computed tomography, Oncology, Cancer, Human-machine interfaces, Decision support systems, Computing systems

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