Rucha Deshpande

20 papers B 1C 2Journal 13Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Quantitative Framework to Predict Wait-Time Impacts Due to AI-Triage Devices in a Multi-AI, Multi-Disease Workflow. CoRR Michelle Mastrianni, Rucha Deshpande, Frank W. Samuelson, Yee Lam Elim Thompson
2025	J	`jnl`	Evaluation of Machine-generated Biomedical Images via A Tally-based Similarity Measure. CoRR Frank J. Brooks, Rucha Deshpande
2025	J	`jnl`	Hallucinations in medical devices. CoRR Jason Granstedt, Prabhat K. C., Rucha Deshpande, Victor Garcia, Aldo Badano
2025	J	`jnl`	HistoART: Histopathology Artifact Detection and Reporting Tool. CoRR Seyed Kahaki, Alexander R. Webber, Ghada Zamzmi, Adarsh Subbaswamy, Rucha Deshpande, Aldo Badano
2025	J	`jnl`	Knowledge-based anomaly detection for identifying network-induced shape artifacts. CoRR Rucha Deshpande, Tahsin Rahman, Miguel A. Lago, Adarsh Subbaswamy, Jana G. Delfino, Ghada Zamzmi, Yee Lam Elim Thompson, Aldo Badano, Seyed Kahaki
2024	J	`jnl`	A method for evaluating deep generative models of images for hallucinations in high-order spatial context. Pattern Recognit. Lett. Rucha Deshpande, Mark A. Anastasio, Frank J. Brooks
2024	J	`jnl`	AmbientFlow: Invertible generative models from incomplete, noisy measurements. Trans. Mach. Learn. Res. Varun A. Kelkar, Rucha Deshpande, Arindam Banerjee, Mark A. Anastasio
2024	J	`jnl`	Assessing the Capacity of a Denoising Diffusion Probabilistic Model to Reproduce Spatial Context. IEEE Trans. Medical Imaging Rucha Deshpande, Muzaffer Özbey, Hua Li, Mark A. Anastasio, Frank J. Brooks
2024	—	`conf`	Conference Program Scheduling using Genetic Algorithms. AIware Rucha Deshpande, Aishwarya Devi Akila Pandian, Vigneshwaran Dharmalingam
2024	J	`jnl`	Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statistics. CoRR Rucha Deshpande, Varun A. Kelkar, Dimitrios S. Gotsis, Prabhat K. C., Rongping Zeng, Kyle J. Myers, Frank J. Brooks, Mark A. Anastasio
2023	J	`jnl`	AmbientFlow: Invertible generative models from incomplete, noisy measurements. CoRR Varun A. Kelkar, Rucha Deshpande, Arindam Banerjee, Mark A. Anastasio
2023	J	`jnl`	Assessing the capacity of a denoising diffusion probabilistic model to reproduce spatial context. CoRR Rucha Deshpande, Muzaffer Özbey, Hua Li, Mark A. Anastasio, Frank J. Brooks
2023	—	`conf`	Evaluating generative stochastic image models using task-based image quality measures. Image Perception, Observer Performance, and Technology Assessment Varun A. Kelkar, Dimitrios S. Gotsis, Rucha Deshpande, Frank J. Brooks, Prabhat K. C., Kyle J. Myers, Rongping Zeng, Mark A. Anastasio
2022	B	`conf`	Evaluating the capacity of deep generative models to reproduce measurable high-order spatial arrangements in diagnostic images. Image Processing Rucha Deshpande, Mark A. Anastasio, Frank J. Brooks
2022	J	`jnl`	Investigating the robustness of a learning-based method for quantitative phase retrieval from propagation-based x-ray phase contrast measurements under laboratory conditions. CoRR Rucha Deshpande, Ashish Avachat, Frank J. Brooks, Mark A. Anastasio
2021	J	`jnl`	A Method for Evaluating the Capacity of Generative Adversarial Networks to Reproduce High-order Spatial Context. CoRR Rucha Deshpande, Mark A. Anastasio, Frank J. Brooks
2015	C	`conf`	Topic based segmentation of classroom videos. FIE Tayfun Tuna, Mahima Joshi, Varun Varghese, Rucha Deshpande, Jaspal Subhlok, Rakesh M. Verma
2014	C	`conf`	A crowdsourcing caption editor for educational videos. FIE Rucha Deshpande, Tayfun Tuna, Jaspal Subhlok, Lecia Barker
2013	—	`conf`	An automated segmentation technique for the processing of foot ultrasound images. ISSNIP Rucha Deshpande, Elagiri Ramalingam Rajkumar, Nachiappan Chockalingam, Roozbeh Naemi, Helen Branthwaite, Lakshmi Sundar
2008	—	`conf`	Rough Set Approach for Feature Reduction in Pattern Recognition through Unsupervised Artificial Neural Network. ICETET Ashwin Kothari, Avinash G. Keskar, Allhad Gokhale, Rucha Deshpande, Pranjali Deshmukh