Pranav Kulkarni

56 papers A* 2A 1B 1Misc 9Journal 31Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Adaptive Purification Controller for Quantum Networks: Dynamic Protocol Selection and Multipartite Distillation. CoRR Pranav Kulkarni, Leo Sünkel, Michael Kölle
2026	J	`jnl`	CRESTomics: Analyzing Carotid Plaques in the CREST-2 Trial with a New Additive Classification Model. CoRR Pranav Kulkarni, Brajesh K. Lal, Georges Jreij, Sai Vallamchetla, Langford Green, Jenifer Voeks, John Huston, Lloyd Edwards, George Howard, Bradley A. Maron, Thomas G. Brott, James F. Meschia, Florence X. Doo, Heng Huang
2026	J	`jnl`	Statistically Efficient Algorithm for DOA Estimation With Sparse Arrays. IEEE Access Pranav Kulkarni, P. P. Vaidyanathan
2026	J	`jnl`	X-Mark: Saliency-Guided Robust Dataset Ownership Verification for Medical Imaging. CoRR Pranav Kulkarni, Junfeng Guo, Heng Huang
2025	J	`jnl`	Children Are Not Small Adults: Addressing Limited Generalizability of an Adult Deep Learning CT Organ Segmentation Model to the Pediatric Population. J. Imaging Inform. Medicine Devina Chatterjee, Adway U. Kanhere, Florence X. Doo, Jerry Zhao, Andrew Chan, Alexander Welsh, Pranav Kulkarni, Annie Trang, Vishwa S. Parekh, Paul H. Yi
2025	J	`jnl`	Dual Energy CT for Deep Learning-Based Segmentation and Volumetric Estimation of Early Ischemic Infarcts. J. Imaging Inform. Medicine Peter I. Kamel, Mazhar Khalid, Rachel Steger, Adway U. Kanhere, Pranav Kulkarni, Vishwa S. Parekh, Paul H. Yi, Dheeraj Gandhi, Uttam Bodanapally
2025	—	`conf`	Generalized Constructions of Weight-Constrained Sparse Arrays. ICASSP Workshops Pranav Kulkarni, P. P. Vaidyanathan
2025	—	`conf`	Generative Counterfactual Augmentation for Bias Mitigation. ICCVW Jason Uwaeze, Pranav Kulkarni, Vladimir Braverman, Michael A. Jacobs, Vishwa S. Parekh
2025	—	`conf`	Graph Neural Network Guided Search for Power Grid Topology Correction. IEEECONF Pranav Kulkarni, Alan C. O'Connor, Frank M. Yaul
2025	—	`conf`	Integrating Real-ESRGAN with CNN Models for UAV Image Based Plant Disease Detection. FedCSIS (Position Papers) Sravya Malladi, Pranav Kulkarni
2025	Misc	`conf`	Interpolation for Weight-Constrained Nested Arrays Having Non-Central ULA Segments in the Coarray. ICASSP Pranav Kulkarni, P. P. Vaidyanathan
2025	J	`jnl`	Multi-Crit: Benchmarking Multimodal Judges on Pluralistic Criteria-Following. CoRR 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
2025	—	`conf`	On the Efficiency of a Toeplitz Covariance Matrix Construction Approach for DOA Estimation. IEEECONF Pranav Kulkarni, P. P. Vaidyanathan
2025	J	`jnl`	Optimizing Acute Stroke Segmentation on MRI Using Deep Learning: Self-Configuring Neural Networks Provide High Performance Using Only DWI Sequences. J. Imaging Inform. Medicine Peter I. Kamel, Adway U. Kanhere, Pranav Kulkarni, Mazhar Khalid, Rachel Steger, Uttam Bodanapally, Dheeraj Gandhi, Vishwa S. Parekh, Paul H. Yi
2024	J	`jnl`	Anytime, Anywhere, Anyone: Investigating the Feasibility of Segment Anything Model for Crowd-Sourcing Medical Image Annotations. CoRR Pranav Kulkarni, Adway U. Kanhere, Dharmam Savani, Andrew Chan, Devina Chatterjee, Paul H. Yi, Vishwa S. Parekh
2024	A	`conf`	Designing for Participatory Data Governance: Insights from People with Parkinson's. Conference on Designing Interactive Systems Pranav Kulkarni, Reuben Kirkham, Ling Wu, Roisin McNaney
2024	—	`conf`	Efficient Use of Non-Central ULA Segments in the Coarrays of Weight-Constrained Sparse Arrays. IEEECONF Pranav Kulkarni, P. P. Vaidyanathan
2024	Misc	`conf`	Expanding the Horizon: Enabling Hybrid Quantum Transfer Learning for Long-Tailed Chest X-Ray Classification. QCE Skylar Chan, Pranav Kulkarni, Paul H. Yi, Vishwa S. Parekh
2024	J	`jnl`	Expanding the Horizon: Enabling Hybrid Quantum Transfer Learning for Long-Tailed Chest X-Ray Classification. CoRR Skylar Chan, Pranav Kulkarni, Paul H. Yi, Vishwa S. Parekh
2024	—	`conf`	From Isolation to Collaboration: Federated Class-Heterogeneous Learning for Chest X-Ray Classification. ML4H@NeurIPS Pranav Kulkarni, Adway U. Kanhere, Paul H. Yi, Vishwa S. Parekh
2024	—	`conf`	Hidden in Plain Sight: Undetectable Adversarial Bias Attacks on Vulnerable Patient Populations. MIDL Pranav Kulkarni, Andrew Chan, Nithya Navarathna, Skylar Chan, Paul H. Yi, Vishwa Sanjay Parekh
2024	J	`jnl`	Hidden in Plain Sight: Undetectable Adversarial Bias Attacks on Vulnerable Patient Populations. CoRR Pranav Kulkarni, Andrew Chan, Nithya Navarathna, Skylar Chan, Paul H. Yi, Vishwa S. Parekh
2024	J	`jnl`	ISLE: An Intelligent Streaming Framework for High-Throughput AI Inference in Medical Imaging. J. Imaging Inform. Medicine Pranav Kulkarni, Adway U. Kanhere, Eliot L. Siegel, Paul H. Yi, Vishwa S. Parekh
2024	J	`jnl`	Improving Multi-Center Generalizability of GAN-Based Fat Suppression using Federated Learning. CoRR Pranav Kulkarni, Adway U. Kanhere, Harshita Kukreja, Vivian Zhang, Paul H. Yi, Vishwa S. Parekh
2024	—	`conf`	Privacy-Preserving Collaboration for Multi-Organ Segmentation via Federated Learning from Sites with Partial Labels. CVPR Workshops Adway U. Kanhere, Pranav Kulkarni, Paul H. Yi, Vishwa S. Parekh
2024	J	`jnl`	Shadow Program Committee: Designing for Diversity and Equity within Academic Communities. ACM J. Comput. Sustain. Soc. Delvin Varghese, Hafeni Mthoko, Jessica L. Watterson, Pranav Kulkarni, Dan Richardson, Shaimaa Lazem, Patrick Olivier
2024	Misc	`conf`	Sparse, Weight-Constrained Arrays With O(N) Aperture for Reduced Mutual Coupling. ICASSP Pranav Kulkarni, P. P. Vaidyanathan
2024	—	`conf`	Weight-Constrained Nested Arrays with $w(1) = w(2) = 0$ for Reduced Mutual Coupling. SAM Pranav Kulkarni, P. P. Vaidyanathan
2024	J	`jnl`	Weight-Constrained Sparse Arrays For Direction of Arrival Estimation Under High Mutual Coupling. IEEE Trans. Signal Process. Pranav Kulkarni, P. P. Vaidyanathan
2023	Misc	`conf`	Difference Coarrays of Rational Arrays. ICASSP Pranav Kulkarni, P. P. Vaidyanathan
2023	J	`jnl`	Exploring Semantic Perturbations on Grover. CoRR Pranav Kulkarni, Ziqing Ji, Yan Xu, Marko Neskovic, Kevin Nolan
2023	A*	`conf`	Exploring the digital support needs of caregivers of people with serious mental illness. CHI Farheen Siddiqui, Delvin Varghese, Pushpendra Singh, Sunita Bapuji Bayyavarapu, Stephen Lindsay, Dharshani Tharanga Chandrasekara, Pranav Kulkarni, Ling Wu, Taghreed Alshehri, Patrick Olivier
2023	J	`jnl`	High-Throughput AI Inference for Medical Image Classification and Segmentation using Intelligent Streaming. CoRR Pranav Kulkarni, Sean Garin, Adway U. Kanhere, Eliot L. Siegel, Paul H. Yi, Vishwa S. Parekh
2023	Misc	`conf`	Interpolation Filter Model For Ramanujan Subspace Signals. ICASSP Pranav Kulkarni, P. P. Vaidyanathan
2023	Misc	`conf`	On the Efficiency of Coarray-Based Direction of Arrival Estimation. ACSSC Pranav Kulkarni, P. P. Vaidyanathan
2023	J	`jnl`	One Copy Is All You Need: Resource-Efficient Streaming of Medical Imaging Data at Scale. CoRR Pranav Kulkarni, Adway U. Kanhere, Eliot L. Siegel, Paul H. Yi, Vishwa S. Parekh
2023	J	`jnl`	Optimizing Federated Learning for Medical Image Classification on Distributed Non-iid Datasets with Partial Labels. CoRR Pranav Kulkarni, Adway U. Kanhere, Paul H. Yi, Vishwa S. Parekh
2023	J	`jnl`	Periodicity-Aware Signal Denoising Using Capon-Optimized Ramanujan Filter Banks and Pruned Ramanujan Dictionaries. IEEE Trans. Signal Process. Pranav Kulkarni, P. P. Vaidyanathan
2023	J	`jnl`	SegViz: A Federated Learning Framework for Medical Image Segmentation from Distributed Datasets with Different and Incomplete Annotations. CoRR Adway U. Kanhere, Pranav Kulkarni, Paul H. Yi, Vishwa S. Parekh
2023	J	`jnl`	Surgical Aggregation: A Federated Learning Framework for Harmonizing Distributed Datasets with Diverse Tasks. CoRR Pranav Kulkarni, Adway U. Kanhere, Paul H. Yi, Vishwa S. Parekh
2023	J	`jnl`	Text2Cohort: Democratizing the NCI Imaging Data Commons with Natural Language Cohort Discovery. CoRR Pranav Kulkarni, Adway U. Kanhere, Paul H. Yi, Vishwa S. Parekh
2022	A*	`conf`	Exploring Perceptions of Cross-Sectoral Data Sharing with People with Parkinson's. CHI Roisin McNaney, Catherine Morgan, Pranav Kulkarni, Julio Vega, Farnoosh Heidarivincheh, Ryan McConville, Alan L. Whone, Mickey Kim, Reuben Kirkham, Ian Craddock
2022	J	`jnl`	From Competition to Collaboration: Making Toy Datasets on Kaggle Clinically Useful for Chest X-Ray Diagnosis Using Federated Learning. CoRR Pranav Kulkarni, Adway U. Kanhere, Paul H. Yi, Vishwa S. Parekh
2022	J	`jnl`	Non-Integer Arrays for Array Signal Processing. IEEE Trans. Signal Process. Pranav Kulkarni, P. P. Vaidyanathan
2022	J	`jnl`	Opportunities for Smartphone Sensing in E-Health Research: A Narrative Review. Sensors Pranav Kulkarni, Reuben Kirkham, Roisin McNaney
2022	Misc	`conf`	Rational Arrays for DOA Estimation. ICASSP Pranav Kulkarni, P. P. Vaidyanathan
2022	—	`conf`	Rational Arrays for DOA Estimation: New Insights and Performance Evaluation. IEEECONF Pranav Kulkarni, P. P. Vaidyanathan
2021	—	`conf`	Feature Engineering for DOA Estimation using a Convolutional Neural Network, for Sparse Arrays. ACSCC Pranav Kulkarni, P. P. Vaidyanathan
2021	Misc	`conf`	Periodic Signal Denoising: An Analysis-Synthesis Framework Based on Ramanujan Filter Banks and Dictionaries. ICASSP Pranav Kulkarni, P. P. Vaidyanathan
2020	J	`jnl`	Adaptive Generalised Fractional Spectrogram and Its Applications. Circuits Syst. Signal Process. Peeyush Sahay, B. S. Teza, Pranav Kulkarni, P. Radhakrishna, Vikram M. Gadre
2020	J	`jnl`	Generalized Fractional Ambiguity Function and Its Applications. Circuits Syst. Signal Process. Peeyush Sahay, Izaz Ahamed Shaik Rasheed, Pranav Kulkarni, Shubham Anand Jain, Ameya Anjarlekar, P. Radhakrishna, Vikram M. Gadre
2020	Misc	`conf`	K-SVD based Periodicity Dictionary Learning. ACSSC Pranav Kulkarni, P. P. Vaidyanathan
2020	J	`jnl`	On the Zeros of Ramanujan Filters. IEEE Signal Process. Lett. Pranav Kulkarni, P. P. Vaidyanathan
2019	B	`conf`	An Interpretable Generative Model for Handwritten Digits Synthesis. ICIP Yao Zhu, Saksham Suri, Pranav Kulkarni, Yueru Chen, Jiali Duan, C.-C. Jay Kuo
2018	J	`jnl`	An Interpretable Generative Model for Handwritten Digit Image Synthesis. CoRR Yao Zhu, Saksham Suri, Pranav Kulkarni, Yueru Chen, Jiali Duan, C.-C. Jay Kuo
2018	J	`jnl`	Integrative analysis and machine learning on cancer genomics data using the Cancer Systems Biology Database (CancerSysDB). BMC Bioinform. Rasmus Krempel, Pranav Kulkarni, Annie Yim, Ulrich Lang, Bianca Habermann, Peter Frommolt