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ORCIDShubham Patil
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2020 – today
- 2024
[c6]Shreyas Deshmukh
, Shubham Patil, Anmol Biswas, Vivek Saraswat, Abhishek Kadam, Ajay Kumar Singh, Laxmeesha Somappa, Maryam Shojaei Baghini, Udayan Ganguly:
Resistive Processing Unit-based On-chip ANN Training with Digital Memory. AICAS 2024: 462-466- [c5]Nishant Saurabh, Paritosh Meihar, Shubham Patil, Udayan Ganguly:
Ultra Low-Cost Epi-Gd2O3 MOSFET Based Novel 1T Frequency Detector. DRC 2024: 1-2 - [c4]Weiyi Xie, Nathalie Willems, Shubham Patil, Yang Li, Mayank Kumar:
SAM Fewshot Finetuning for Anatomical Segmentation in Medical Images. WACV 2024: 3241-3249 - [i3]Weiyi Xie, Nathalie Willems, Shubham Patil, Yang Li, Mayank Kumar:
SAM Fewshot Finetuning for Anatomical Segmentation in Medical Images. CoRR abs/2407.04651 (2024) - 2023
- [j3]Shubham Patil, Narayana Raju, Shriniwas S. Arkatkar, Said M. Easa:
Modeling vehicle collision instincts over road midblock using deep learning. J. Intell. Transp. Syst. 27(2): 257-271 (2023) - [c3]Gary Y. Li, Li Chen, Mohsen Zahiri, Naveen Balaraju, Shubham Patil, Courosh Mehanian, Cynthia Gregory, Kenton W. Gregory, Balasundar Raju, Jochen Kruecker, Alvin Chen:
Weakly Semi-supervised Detector-based Video Classification with Temporal Context for Lung Ultrasound. ICCV (Workshops) 2023: 2475-2484 - [c2]Jiahong Ouyang, Li Chen, Gary Y. Li, Naveen Balaraju, Shubham Patil, Courosh Mehanian, Sourabh Kulhare, Rachel Millin, Kenton W. Gregory, Cynthia Gregory, Meihua Zhu, David O. Kessler, Laurie Malia, Almaz Dessie, Joni Rabiner, Di Coneybeare, Bo Shopsin, Andrew Hersh, Cristian Madar, Jeffrey Shupp, Laura S. Johnson, Jacob Avila, Kristin Dwyer, Peter Weimersheimer, Balasundar Raju, Jochen Kruecker, Alvin Chen:
Weakly Semi-supervised Detection in Lung Ultrasound Videos. IPMI 2023: 195-207 - [c1]Li Chen, Jonathan Rubin, Jiahong Ouyang, Naveen Balaraju, Shubham Patil, Courosh Mehanian, Sourabh Kulhare, Rachel Millin, Kenton W. Gregory, Cynthia Gregory, Meihua Zhu, David O. Kessler, Laurie Malia, Almaz Dessie, Joni Rabiner, Di Coneybeare, Bo Shopsin, Andrew Hersh, Cristian Madar, Jeffrey Shupp, Laura S. Johnson, Jacob Avila, Kristin Dwyer, Peter Weimersheimer, Balasundar Raju, Jochen Kruecker, Alvin Chen:
Contrastive Self-Supervised Learning for Spatio-Temporal Analysis of Lung Ultrasound Videos. ISBI 2023: 1-5 - [i2]Shubham Patil, Jayatika Sakhuja, Ajay Kumar Singh, Anmol Biswas, Vivek Saraswat, Sandeep Kumar, Sandip Lashkare, Udayan Ganguly:
Schottky Barrier MOSFET Enabled Ultra-Low Power Real-Time Neuron for Neuromorphic Computing. CoRR abs/2304.08504 (2023) - [i1]Shubham Patil, Anand Sharma, Gaurav R, Abhishek Kadam, Ajay Kumar Singh, Sandip Lashkare, Nihar Ranjan Mohapatra, Udayan Ganguly:
Process Voltage Temperature Variability Estimation of Tunneling Current for Band-to-Band-Tunneling based Neuron. CoRR abs/2306.11640 (2023) - 2022
- [j2]Shubham Patil, Debopriyo Banerjee, Shamik Sural:
A Graph Theoretic Approach for Multi-Objective Budget Constrained Capsule Wardrobe Recommendation. ACM Trans. Inf. Syst. 40(1): 1:1-1:33 (2022) - 2021
- [j1]Dhamanpreet Kaur, Matthew Sobiesk, Shubham Patil, Jin Liu, Puran Bhagat, Amar Gupta, Natasha Markuzon:
Application of Bayesian networks to generate synthetic health data. J. Am. Medical Informatics Assoc. 28(4): 801-811 (2021)
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