Rucha Deshpande

Orcid: 0009-0009-5427-0405

According to our database1, Rucha Deshpande authored at least 13 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Assessing the Capacity of a Denoising Diffusion Probabilistic Model to Reproduce Spatial Context.
IEEE Trans. Medical Imaging, October, 2024

AmbientFlow: Invertible generative models from incomplete, noisy measurements.
Trans. Mach. Learn. Res., 2024

A method for evaluating deep generative models of images for hallucinations in high-order spatial context.
Pattern Recognit. Lett., 2024

Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statistics.
CoRR, 2024

Conference Program Scheduling using Genetic Algorithms.
Proceedings of the 1st ACM International Conference on AI-Powered Software, 2024

2023
Evaluating generative stochastic image models using task-based image quality measures.
Proceedings of the Medical Imaging 2023: Image Perception, 2023

2022
Investigating the robustness of a learning-based method for quantitative phase retrieval from propagation-based x-ray phase contrast measurements under laboratory conditions.
CoRR, 2022

Evaluating the capacity of deep generative models to reproduce measurable high-order spatial arrangements in diagnostic images.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

2021
A Method for Evaluating the Capacity of Generative Adversarial Networks to Reproduce High-order Spatial Context.
CoRR, 2021

2015
Topic based segmentation of classroom videos.
Proceedings of the 2015 IEEE Frontiers in Education Conference, 2015

2014
A crowdsourcing caption editor for educational videos.
Proceedings of the IEEE Frontiers in Education Conference, 2014

2013
An automated segmentation technique for the processing of foot ultrasound images.
Proceedings of the 2013 IEEE Eighth International Conference on Intelligent Sensors, 2013

2008
Rough Set Approach for Feature Reduction in Pattern Recognition through Unsupervised Artificial Neural Network.
Proceedings of the First International Conference on Emerging Trends in Engineering and Technology, 2008


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