Pranav Kulkarni

According to our database, Pranav Kulkarni authored at least 54 papers between 2018 and 2026.

Collaborative distances:

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

2026

X-Mark: Saliency-Guided Robust Dataset Ownership Verification for Medical Imaging.

Pranav Kulkarni, Junfeng Guo, Heng Huang

CoRR, February, 2026

An Adaptive Purification Controller for Quantum Networks: Dynamic Protocol Selection and Multipartite Distillation.

Pranav Kulkarni, Leo Sünkel, Michael Kölle

CoRR, January, 2026

Statistically Efficient Algorithm for DOA Estimation With Sparse Arrays.

Pranav Kulkarni, P. P. Vaidyanathan

IEEE Access, 2026

Crestomics: Analyzing Carotid Plaques in the Crest-2 Trial with a New Additive Classification Model.

Pranav Kulkarni, Brajesh K. Lal, Georges Jreij, Sai Vallamchetla, Langford Green, Jenifer Voeks, John Huston, Lloyd J. Edwards, George Howard, Bradley A. Maron, Thomas G. Brott, James F. Meschia, Florence X. Doo, Heng Huang

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Multi-Crit: Benchmarking Multimodal Judges on Pluralistic Criteria-Following.

Tianyi Xiong, Yi Ge, Ming Li, Zuolong Zhang, Pranav Kulkarni, Kaishen Wang, Qi He, Zeying Zhu, Chenxi Liu, Ruibo Chen, Tong Zheng, Yanshuo Chen, Xiyao Wang, Renrui Zhang, Wenhu Chen, Heng Huang

CoRR, November, 2025

Dual Energy CT for Deep Learning-Based Segmentation and Volumetric Estimation of Early Ischemic Infarcts.

Peter I. Kamel, Mazhar Khalid, Rachel Steger, Adway U. Kanhere, Pranav Kulkarni, Vishwa S. Parekh, Paul H. Yi, Dheeraj Gandhi, Uttam Bodanapally

J. Imaging Inform. Medicine, 2025

Optimizing Acute Stroke Segmentation on MRI Using Deep Learning: Self-Configuring Neural Networks Provide High Performance Using Only DWI Sequences.

Peter I. Kamel, Adway U. Kanhere, Pranav Kulkarni, Mazhar Khalid, Rachel Steger, Uttam Bodanapally, Dheeraj Gandhi, Vishwa S. Parekh, Paul H. Yi

J. Imaging Inform. Medicine, 2025

Children Are Not Small Adults: Addressing Limited Generalizability of an Adult Deep Learning CT Organ Segmentation Model to the Pediatric Population.

Devina Chatterjee, Adway U. Kanhere, Florence X. Doo, Jerry Zhao, Andrew Chan, Alexander Welsh, Pranav Kulkarni, Annie Trang, Vishwa S. Parekh, Paul H. Yi

J. Imaging Inform. Medicine, 2025

Generative Counterfactual Augmentation for Bias Mitigation.

Jason Uwaeze, Pranav Kulkarni, Vladimir Braverman, Michael A. Jacobs, Vishwa S. Parekh

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Interpolation for Weight-Constrained Nested Arrays Having Non-Central ULA Segments in the Coarray.

Pranav Kulkarni, P. P. Vaidyanathan

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Generalized Constructions of Weight-Constrained Sparse Arrays.

Pranav Kulkarni, P. P. Vaidyanathan

Proceedings of the IEEE International Conference on Acoustics, 2025

Integrating Real-ESRGAN with CNN Models for UAV Image Based Plant Disease Detection.

Sravya Malladi, Pranav Kulkarni

Proceedings of the Position Papers of the 20th Conference on Computer Science and Intelligence Systems, 2025

On the Efficiency of a Toeplitz Covariance Matrix Construction Approach for DOA Estimation.

Pranav Kulkarni, P. P. Vaidyanathan

Proceedings of the 59th Asilomar Conference on Signals, 2025

Graph Neural Network Guided Search for Power Grid Topology Correction.

Pranav Kulkarni, Alan C. O'Connor, Frank M. Yaul

Proceedings of the 59th Asilomar Conference on Signals, 2025

2024

Weight-Constrained Sparse Arrays For Direction of Arrival Estimation Under High Mutual Coupling.

Pranav Kulkarni, P. P. Vaidyanathan

IEEE Trans. Signal Process., 2024

ISLE: An Intelligent Streaming Framework for High-Throughput AI Inference in Medical Imaging.

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

J. Imaging Inform. Medicine, 2024

Improving Multi-Center Generalizability of GAN-Based Fat Suppression using Federated Learning.

Pranav Kulkarni, Adway U. Kanhere, Harshita Kukreja, Vivian Zhang, Paul H. Yi, Vishwa S. Parekh

CoRR, 2024

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

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

CoRR, 2024

Shadow Program Committee: Designing for Diversity and Equity within Academic Communities.

Delvin Varghese, Hafeni Mthoko, Jessica L. Watterson, Pranav Kulkarni, Dan Richardson, Shaimaa Lazem, Patrick Olivier

ACM J. Comput. Sustain. Soc., 2024

Expanding the Horizon: Enabling Hybrid Quantum Transfer Learning for Long-Tailed Chest X-Ray Classification.

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

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

From Isolation to Collaboration: Federated Class-Heterogeneous Learning for Chest X-Ray Classification.

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

Proceedings of the Machine Learning for Health, 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 Sanjay Parekh

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

Weight-Constrained Nested Arrays with $w(1) = w(2) = 0$ for Reduced Mutual Coupling.

Pranav Kulkarni, P. P. Vaidyanathan

Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

Sparse, Weight-Constrained Arrays With O(N) Aperture for Reduced Mutual Coupling.

Pranav Kulkarni, P. P. Vaidyanathan

Proceedings of the IEEE International Conference on Acoustics, 2024

Privacy-Preserving Collaboration for Multi-Organ Segmentation via Federated Learning from Sites with Partial Labels.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Efficient Use of Non-Central ULA Segments in the Coarrays of Weight-Constrained Sparse Arrays.

Pranav Kulkarni, P. P. Vaidyanathan

Proceedings of the 58th Asilomar Conference on Signals, 2024

Designing for Participatory Data Governance: Insights from People with Parkinson's.

Pranav Kulkarni, Reuben Kirkham, Ling Wu, Roisin McNaney

Proceedings of the Designing Interactive Systems Conference, 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 U. Kanhere, Eliot L. 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 U. Kanhere, Eliot L. Siegel, Paul H. Yi, Vishwa S. Parekh

CoRR, 2023

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

Pranav Kulkarni, Adway U. 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 U. 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 U. 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 Tharanga 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 U. 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