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ORCIDPranav Kulkarni
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2020 – today
- 2024
[j8]Pranav Kulkarni
, P. P. Vaidyanathan:
Weight-Constrained Sparse Arrays For Direction of Arrival Estimation Under High Mutual Coupling. IEEE Trans. Signal Process. 72: 4444-4462 (2024)- [c15]Pranav Kulkarni, Reuben Kirkham, Ling Wu, Roisin McNaney:
Designing for Participatory Data Governance: Insights from People with Parkinson's. Conference on Designing Interactive Systems 2024 - [c14]Adway U. Kanhere, Pranav Kulkarni, Paul H. Yi, Vishwa S. Parekh:
Privacy-Preserving Collaboration for Multi-Organ Segmentation via Federated Learning from Sites with Partial Labels. CVPR Workshops 2024: 2380-2387 - [c13]Pranav Kulkarni, P. P. Vaidyanathan:
Sparse, Weight-Constrained Arrays With O(N) Aperture for Reduced Mutual Coupling. ICASSP 2024: 12891-12895 - [c12]Pranav Kulkarni, P. P. Vaidyanathan:
Weight-Constrained Nested Arrays with $w(1) = w(2) = 0$ for Reduced Mutual Coupling. SAM 2024: 1-5 - [i13]Pranav Kulkarni, Andrew Chan, Nithya Navarathna, Skylar Chan, Paul H. Yi, Vishwa S. Parekh:
Hidden in Plain Sight: Undetectable Adversarial Bias Attacks on Vulnerable Patient Populations. CoRR abs/2402.05713 (2024) - [i12]Pranav Kulkarni, Adway U. Kanhere, Dharmam Savani, Andrew Chan, Devina Chatterjee, Paul H. Yi, Vishwa S. Parekh:
Anytime, Anywhere, Anyone: Investigating the Feasibility of Segment Anything Model for Crowd-Sourcing Medical Image Annotations. CoRR abs/2403.15218 (2024) - [i11]Pranav Kulkarni, Adway U. Kanhere, Harshita Kukreja, Vivian Zhang, Paul H. Yi, Vishwa S. Parekh:
Improving Multi-Center Generalizability of GAN-Based Fat Suppression using Federated Learning. CoRR abs/2404.07374 (2024) - [i10]Skylar Chan, Pranav Kulkarni, Paul H. Yi, Vishwa S. Parekh:
Expanding the Horizon: Enabling Hybrid Quantum Transfer Learning for Long-Tailed Chest X-Ray Classification. CoRR abs/2405.00156 (2024) - 2023
- [j7]Pranav Kulkarni, P. P. Vaidyanathan:
Periodicity-Aware Signal Denoising Using Capon-Optimized Ramanujan Filter Banks and Pruned Ramanujan Dictionaries. IEEE Trans. Signal Process. 71: 494-511 (2023) - [c11]Pranav Kulkarni, P. P. Vaidyanathan:
On the Efficiency of Coarray-Based Direction of Arrival Estimation. ACSSC 2023: 1334-1338 - [c10]Farheen Siddiqui, Delvin Varghese, Pushpendra Singh, Sunita Bapuji Bayyavarapu, Stephen Lindsay, Dharshani Chandrasekara, Pranav Kulkarni, Ling Wu, Taghreed Alshehri, Patrick Olivier:
Exploring the digital support needs of caregivers of people with serious mental illness. CHI 2023: 560:1-560:16 - [c9]Pranav Kulkarni, P. P. Vaidyanathan:
Interpolation Filter Model For Ramanujan Subspace Signals. ICASSP 2023: 1-5 - [c8]Pranav Kulkarni, P. P. Vaidyanathan:
Difference Coarrays of Rational Arrays. ICASSP 2023: 1-5 - [i9]Pranav Kulkarni, Adway U. Kanhere, Paul H. Yi, Vishwa S. Parekh:
Surgical Aggregation: A Federated Learning Framework for Harmonizing Distributed Datasets with Diverse Tasks. CoRR abs/2301.06683 (2023) - [i8]Adway U. Kanhere, Pranav Kulkarni, Paul H. Yi, Vishwa S. Parekh:
SegViz: A Federated Learning Framework for Medical Image Segmentation from Distributed Datasets with Different and Incomplete Annotations. CoRR abs/2301.07074 (2023) - [i7]Pranav Kulkarni, Ziqing Ji, Yan Xu, Marko Neskovic, Kevin Nolan:
Exploring Semantic Perturbations on Grover. CoRR abs/2302.00509 (2023) - [i6]Pranav Kulkarni, Adway U. Kanhere, Paul H. Yi, Vishwa S. Parekh:
Optimizing Federated Learning for Medical Image Classification on Distributed Non-iid Datasets with Partial Labels. CoRR abs/2303.06180 (2023) - [i5]Pranav Kulkarni, Adway U. Kanhere, Paul H. Yi, Vishwa S. Parekh:
Text2Cohort: Democratizing the NCI Imaging Data Commons with Natural Language Cohort Discovery. CoRR abs/2305.07637 (2023) - [i4]Pranav Kulkarni, Sean Garin, Adway U. Kanhere, Eliot Siegel, Paul H. Yi, Vishwa S. Parekh:
High-Throughput AI Inference for Medical Image Classification and Segmentation using Intelligent Streaming. CoRR abs/2305.15617 (2023) - [i3]Pranav Kulkarni, Adway U. Kanhere, Eliot Siegel, Paul H. Yi, Vishwa S. Parekh:
One Copy Is All You Need: Resource-Efficient Streaming of Medical Imaging Data at Scale. CoRR abs/2307.00438 (2023) - 2022
- [j6]Pranav Kulkarni, Reuben Kirkham, Roisin McNaney:
Opportunities for Smartphone Sensing in E-Health Research: A Narrative Review. Sensors 22(10): 3893 (2022) - [j5]Pranav Kulkarni, P. P. Vaidyanathan:
Non-Integer Arrays for Array Signal Processing. IEEE Trans. Signal Process. 70: 5457-5472 (2022) - [c7]Pranav Kulkarni, P. P. Vaidyanathan:
Rational Arrays for DOA Estimation: New Insights and Performance Evaluation. IEEECONF 2022: 91-95 - [c6]Roisin McNaney, Catherine Morgan, Pranav Kulkarni, Julio Vega, Farnoosh Heidarivincheh, Ryan McConville, Alan L. Whone, Mickey Kim, Reuben Kirkham, Ian Craddock:
Exploring Perceptions of Cross-Sectoral Data Sharing with People with Parkinson's. CHI 2022: 280:1-280:14 - [c5]Pranav Kulkarni, P. P. Vaidyanathan:
Rational Arrays for DOA Estimation. ICASSP 2022: 5008-5012 - [i2]Pranav Kulkarni, Adway U. Kanhere, Paul H. Yi, Vishwa S. Parekh:
From Competition to Collaboration: Making Toy Datasets on Kaggle Clinically Useful for Chest X-Ray Diagnosis Using Federated Learning. CoRR abs/2211.06212 (2022) - 2021
- [c4]Pranav Kulkarni, P. P. Vaidyanathan:
Feature Engineering for DOA Estimation using a Convolutional Neural Network, for Sparse Arrays. ACSCC 2021: 246-250 - [c3]Pranav Kulkarni, P. P. Vaidyanathan:
Periodic Signal Denoising: An Analysis-Synthesis Framework Based on Ramanujan Filter Banks and Dictionaries. ICASSP 2021: 5100-5104 - 2020
- [j4]Peeyush Sahay, Izaz Ahamed Shaik Rasheed, Pranav Kulkarni, Shubham Anand Jain, Ameya Anjarlekar, P. Radhakrishna, Vikram M. Gadre:
Generalized Fractional Ambiguity Function and Its Applications. Circuits Syst. Signal Process. 39(10): 4980-5019 (2020) - [j3]Peeyush Sahay, B. S. Teza, Pranav Kulkarni, P. Radhakrishna, Vikram M. Gadre:
Adaptive Generalised Fractional Spectrogram and Its Applications. Circuits Syst. Signal Process. 39(12): 5982-6033 (2020) - [j2]Pranav Kulkarni, P. P. Vaidyanathan:
On the Zeros of Ramanujan Filters. IEEE Signal Process. Lett. 27: 735-739 (2020) - [c2]Pranav Kulkarni, P. P. Vaidyanathan:
K-SVD based Periodicity Dictionary Learning. ACSSC 2020: 1333-1337
2010 – 2019
- 2019
- [c1]Yao Zhu, Saksham Suri, Pranav Kulkarni, Yueru Chen, Jiali Duan, C.-C. Jay Kuo:
An Interpretable Generative Model for Handwritten Digits Synthesis. ICIP 2019: 1910-1914 - 2018
- [j1]Rasmus Krempel, Pranav Kulkarni, Annie Yim, Ulrich Lang, Bianca Habermann, Peter Frommolt:
Integrative analysis and machine learning on cancer genomics data using the Cancer Systems Biology Database (CancerSysDB). BMC Bioinform. 19(1): 156:1-156:10 (2018) - [i1]Yao Zhu, Saksham Suri, Pranav Kulkarni, Yueru Chen, Jiali Duan, C.-C. Jay Kuo:
An Interpretable Generative Model for Handwritten Digit Image Synthesis. CoRR abs/1811.04507 (2018)
Coauthor Index
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last updated on 2024-11-07 20:35 CET by the dblp team
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