Shreyas Kulkarni

According to our database, Shreyas Kulkarni authored at least 17 papers between 2018 and 2024.

Collaborative distances:

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

2024

De-Biased Disentanglement Learning for Pulmonary Embolism Survival Prediction on Multimodal Data.

Zhusi Zhong, Jie Li, Shreyas Kulkarni, Helen Zhang, Fayez H. Fayad, Yang Li, Scott Collins, Harrison Bai, Sun Ho Ahn, Michael K. Atalay, Xinbo Gao, Zhicheng Jiao

IEEE J. Biomed. Health Informatics, June, 2024

Pulmonary Embolism Mortality Prediction Using Multimodal Learning Based on Computed Tomography Angiography and Clinical Data.

Zhusi Zhong, Helen Zhang, Fayez H. Fayad, Andrew C. Lancaster, John Sollee, Shreyas Kulkarni, Cheng Ting Lin, Jie Li, Xinbo Gao, Scott Collins, Colin Greineder, Sun Ho Ahn, Harrison X. Bai, Zhicheng Jiao, Michael K. Atalay

CoRR, 2024

V-FLUTE: Visual Figurative Language Understanding with Textual Explanations.

Arkadiy Saakyan, Shreyas Kulkarni, Tuhin Chakrabarty, Smaranda Muresan

CoRR, 2024

CataractBot: An LLM-Powered Expert-in-the-Loop Chatbot for Cataract Patients.

Pragnya Ramjee, Bhuvan Sachdeva, Satvik Golechha, Shreyas Kulkarni, Geeta Fulari, Kaushik Murali, Mohit Jain

CoRR, 2024

2023

RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Active Data Manipulation.

Dzung Pham, Shreyas Kulkarni, Amir Houmansadr

CoRR, 2023

Generalized Distance Metric for Different DHT Routing Algorithms in Peer-to-Peer Networks.

Rashmi Kushwaha, Shreyas Kulkarni, Yatindra Nath Singh

CoRR, 2023

Improving Outcome Prediction of Pulmonary Embolism by De-biased Multi-modality Model.

Zhusi Zhong, Jie Li, Shreyas Kulkarni, Yang Li, Fayez H. Fayad, Helen Zhang, Sun Ho Ahn, Harrison Bai, Xinbo Gao, Michael Atalay, Zhicheng Jiao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

360FusionNeRF: Panoramic Neural Radiance Fields with Joint Guidance.

Shreyas Kulkarni, Peng Yin, Sebastian A. Scherer

IROS, 2023

2022

Distributed, Intelligent Edge-Sensing for a Smarter Grid.

Shreyas Kulkarni

PhD thesis, 2022

CrackSeg9k: A Collection and Benchmark for Crack Segmentation Datasets and Frameworks.

Shreyas Kulkarni, Shreyas Singh, Dhananjay Balakrishnan, Siddharth Sharma, Saipraneeth Devunuri, Sai Chowdeswara Rao Korlapati

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2020

Sensing Service Transformer Secondary Currents using Planar Magnetic Pick-up Coils.

Shreyas Kulkarni, Deepak Divan

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

Low-cost Smart Home Energy Management System based on Decentralized Real-Time Pricing.

Rohit Jinsiwale, Shreyas Kulkarni, Deepak Divan

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

2019

Enabling a Decentralized Smart Grid Using Autonomous Edge Control Devices.

Shreyas Kulkarni, Qinchen Gu, Eric Myers, Lalith Polepeddi, Szilárd Lipták, Raheem Beyah, Deepak Divan

IEEE Internet Things J., 2019

Evaluating Time Varying Connectivities and System Throughput in Opportunistic Networks for Smart Grid Applications.

Shreyas Kulkarni, Deepak Divan

Proceedings of the 5th IEEE World Forum on Internet of Things, 2019

A Novel Approach to Implement Low-Cost AMI Functionality using Delay-Tolerant Communication.

Shreyas Kulkarni, Eric Myers, Szilárd Lipták, Deepak Divan

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2019

Low-Cost Industrial Monitoring Platform for Energy Efficiency and Optimized Plant Productivity.

Aniruddh Marellapudi, Shreyas Kulkarni, Szilárd Lipták, Sathish Jayaraman, Deepak Divan

Proceedings of the IECON 2019, 2019

2018

Determining the Optimal Fuzzifier Range for Alpha-Planes of General Type-2 Fuzzy Sets.

Shreyas Kulkarni, Rishabh Agrawal

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018