Pranav Kulkarni

According to our database, Pranav Kulkarni authored at least 29 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Anytime, Anywhere, Anyone: Investigating the Feasibility of Segment Anything Model for Crowd-Sourcing Medical Image Annotations.

Pranav Kulkarni, Adway Kanhere, Dharmam Savani, Andrew Chan, Devina Chatterjee, Paul H. Yi, Vishwa S. Parekh

CoRR, 2024

Hidden in Plain Sight: Undetectable Adversarial Bias Attacks on Vulnerable Patient Populations.

Pranav Kulkarni, Andrew Chan, Nithya Navarathna, Skylar Chan, Paul H. Yi, Vishwa S. Parekh

CoRR, 2024

2023

Periodicity-Aware Signal Denoising Using Capon-Optimized Ramanujan Filter Banks and Pruned Ramanujan Dictionaries.

Pranav Kulkarni, P. P. Vaidyanathan

IEEE Trans. Signal Process., 2023

One Copy Is All You Need: Resource-Efficient Streaming of Medical Imaging Data at Scale.

Pranav Kulkarni, Adway Kanhere, Eliot Siegel, Paul H. Yi, Vishwa S. Parekh

CoRR, 2023

High-Throughput AI Inference for Medical Image Classification and Segmentation using Intelligent Streaming.

Pranav Kulkarni, Sean Garin, Adway Kanhere, Eliot Siegel, Paul H. Yi, Vishwa S. Parekh

CoRR, 2023

Text2Cohort: Democratizing the NCI Imaging Data Commons with Natural Language Cohort Discovery.

Pranav Kulkarni, Adway Kanhere, Paul H. Yi, Vishwa S. Parekh

CoRR, 2023

Optimizing Federated Learning for Medical Image Classification on Distributed Non-iid Datasets with Partial Labels.

Pranav Kulkarni, Adway Kanhere, Paul H. Yi, Vishwa S. Parekh

CoRR, 2023

Exploring Semantic Perturbations on Grover.

Pranav Kulkarni, Ziqing Ji, Yan Xu, Marko Neskovic, Kevin Nolan

CoRR, 2023

SegViz: A Federated Learning Framework for Medical Image Segmentation from Distributed Datasets with Different and Incomplete Annotations.

Adway U. Kanhere, Pranav Kulkarni, Paul H. Yi, Vishwa S. Parekh

CoRR, 2023

Surgical Aggregation: A Federated Learning Framework for Harmonizing Distributed Datasets with Diverse Tasks.

Pranav Kulkarni, Adway Kanhere, Paul H. Yi, Vishwa S. Parekh

CoRR, 2023

Difference Coarrays of Rational Arrays.

Pranav Kulkarni, P. P. Vaidyanathan

Proceedings of the IEEE International Conference on Acoustics, 2023

Interpolation Filter Model For Ramanujan Subspace Signals.

Pranav Kulkarni, P. P. Vaidyanathan

Proceedings of the IEEE International Conference on Acoustics, 2023

Exploring the digital support needs of caregivers of people with serious mental illness.

Farheen Siddiqui, Delvin Varghese, Pushpendra Singh, Sunita Bapuji Bayyavarapu, Stephen Lindsay, Dharshani Chandrasekara, Pranav Kulkarni, Ling Wu, Taghreed Alshehri, Patrick Olivier

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

On the Efficiency of Coarray-Based Direction of Arrival Estimation.

Pranav Kulkarni, P. P. Vaidyanathan

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Non-Integer Arrays for Array Signal Processing.

Pranav Kulkarni, P. P. Vaidyanathan

IEEE Trans. Signal Process., 2022

Opportunities for Smartphone Sensing in E-Health Research: A Narrative Review.

Pranav Kulkarni, Reuben Kirkham, Roisin McNaney

Sensors, 2022

From Competition to Collaboration: Making Toy Datasets on Kaggle Clinically Useful for Chest X-Ray Diagnosis Using Federated Learning.

Pranav Kulkarni, Adway Kanhere, Paul H. Yi, Vishwa S. Parekh

CoRR, 2022

Rational Arrays for DOA Estimation.

Pranav Kulkarni, P. P. Vaidyanathan

Proceedings of the IEEE International Conference on Acoustics, 2022

Exploring Perceptions of Cross-Sectoral Data Sharing with People with Parkinson's.

Roisin McNaney, Catherine Morgan, Pranav Kulkarni, Julio Vega, Farnoosh Heidarivincheh, Ryan McConville, Alan L. Whone, Mickey Kim, Reuben Kirkham, Ian Craddock

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Rational Arrays for DOA Estimation: New Insights and Performance Evaluation.

Pranav Kulkarni, P. P. Vaidyanathan

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

Periodic Signal Denoising: An Analysis-Synthesis Framework Based on Ramanujan Filter Banks and Dictionaries.

Pranav Kulkarni, P. P. Vaidyanathan

Proceedings of the IEEE International Conference on Acoustics, 2021

Feature Engineering for DOA Estimation using a Convolutional Neural Network, for Sparse Arrays.

Pranav Kulkarni, P. P. Vaidyanathan

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

On the Zeros of Ramanujan Filters.

Pranav Kulkarni, P. P. Vaidyanathan

IEEE Signal Process. Lett., 2020

Adaptive Generalised Fractional Spectrogram and Its Applications.

Peeyush Sahay, B. S. Teza, Pranav Kulkarni, P. Radhakrishna, Vikram M. Gadre

Circuits Syst. Signal Process., 2020

Generalized Fractional Ambiguity Function and Its Applications.

Peeyush Sahay, Izaz Ahamed Shaik Rasheed, Pranav Kulkarni, Shubham Anand Jain, Ameya Anjarlekar, P. Radhakrishna, Vikram M. Gadre

Circuits Syst. Signal Process., 2020

K-SVD based Periodicity Dictionary Learning.

Pranav Kulkarni, P. P. Vaidyanathan

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019

An Interpretable Generative Model for Handwritten Digits Synthesis.

Yao Zhu, Saksham Suri, Pranav Kulkarni, Yueru Chen, Jiali Duan, C.-C. Jay Kuo

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

An Interpretable Generative Model for Handwritten Digit Image Synthesis.

Yao Zhu, Saksham Suri, Pranav Kulkarni, Yueru Chen, Jiali Duan, C.-C. Jay Kuo

CoRR, 2018

Integrative analysis and machine learning on cancer genomics data using the Cancer Systems Biology Database (CancerSysDB).

Rasmus Krempel, Pranav Kulkarni, Annie Yim, Ulrich Lang, Bianca Habermann, Peter Frommolt

BMC Bioinform., 2018