Pranav Kulkarni

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 33

Top Topics

Dictionary Learning

Handwritten Digits

Distributed Data

Top Venues

Publications

Pranav Kulkarni, P. P. Vaidyanathan
Sparse, Weight-Constrained Arrays With O(N) Aperture for Reduced Mutual Coupling. ICASSP (2024)
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 (2024)
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 (2024)
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 (2024)
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)
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 (2024)
Pranav Kulkarni, P. P. Vaidyanathan
Periodicity-Aware Signal Denoising Using Capon-Optimized Ramanujan Filter Banks and Pruned Ramanujan Dictionaries. IEEE Trans. Signal Process. 71 (2023)
Pranav Kulkarni, Sean Garin, Adway Kanhere, Eliot Siegel, Paul H. Yi, Vishwa S. Parekh
High-Throughput AI Inference for Medical Image Classification and Segmentation using Intelligent Streaming. CoRR (2023)
Pranav Kulkarni, Adway Kanhere, Paul H. Yi, Vishwa S. Parekh
Text2Cohort: Democratizing the NCI Imaging Data Commons with Natural Language Cohort Discovery. CoRR (2023)
Pranav Kulkarni, P. P. Vaidyanathan
Difference Coarrays of Rational Arrays. ICASSP (2023)
Pranav Kulkarni, Adway Kanhere, Paul H. Yi, Vishwa S. Parekh
Surgical Aggregation: A Federated Learning Framework for Harmonizing Distributed Datasets with Diverse Tasks. CoRR (2023)
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 (2023)
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)
Pranav Kulkarni, Adway 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 (2023)
Pranav Kulkarni, Adway Kanhere, Paul H. Yi, Vishwa S. Parekh
Optimizing Federated Learning for Medical Image Classification on Distributed Non-iid Datasets with Partial Labels. CoRR (2023)
Pranav Kulkarni, P. P. Vaidyanathan
Interpolation Filter Model For Ramanujan Subspace Signals. ICASSP (2023)
Pranav Kulkarni, P. P. Vaidyanathan
On the Efficiency of Coarray-Based Direction of Arrival Estimation. ACSSC (2023)
Pranav Kulkarni, Ziqing Ji, Yan Xu, Marko Neskovic, Kevin Nolan
Exploring Semantic Perturbations on Grover. CoRR (2023)
Pranav Kulkarni, Reuben Kirkham, Roisin McNaney
Opportunities for Smartphone Sensing in E-Health Research: A Narrative Review. Sensors 22 (10) (2022)
Pranav Kulkarni, P. P. Vaidyanathan
Rational Arrays for DOA Estimation. ICASSP (2022)
Pranav Kulkarni, Adway 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 (2022)
Pranav Kulkarni, P. P. Vaidyanathan
Rational Arrays for DOA Estimation: New Insights and Performance Evaluation. IEEECONF (2022)
Pranav Kulkarni, P. P. Vaidyanathan
Non-Integer Arrays for Array Signal Processing. IEEE Trans. Signal Process. 70 (2022)
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)
Pranav Kulkarni, P. P. Vaidyanathan
Periodic Signal Denoising: An Analysis-Synthesis Framework Based on Ramanujan Filter Banks and Dictionaries. ICASSP (2021)
Pranav Kulkarni, P. P. Vaidyanathan
Feature Engineering for DOA Estimation using a Convolutional Neural Network, for Sparse Arrays. ACSCC (2021)
Pranav Kulkarni, P. P. Vaidyanathan
On the Zeros of Ramanujan Filters. IEEE Signal Process. Lett. 27 (2020)
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) (2020)
Pranav Kulkarni, P. P. Vaidyanathan
K-SVD based Periodicity Dictionary Learning. ACSSC (2020)
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) (2020)
Yao Zhu, Saksham Suri, Pranav Kulkarni, Yueru Chen, Jiali Duan, C.-C. Jay Kuo
An Interpretable Generative Model for Handwritten Digits Synthesis. ICIP (2019)
Yao Zhu, Saksham Suri, Pranav Kulkarni, Yueru Chen, Jiali Duan, C.-C. Jay Kuo
An Interpretable Generative Model for Handwritten Digit Image Synthesis. CoRR (2018)
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) (2018)