Abhishek Jha

15 papers A* 1Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Study of Anatomical Priors for Deep Learning-Based Segmentation of Pheochromocytoma in Abdominal CT.
CoRR
Tanjin Taher Toma, Tejas Sudharshan Mathai, Bikash Santra, Pritam Mukherjee, Jianfei Liu, Wesley Jong, Darwish Alabyad, Vivek Batheja, Abhishek Jha, Mayank Patel, Darko Pucar, Jayadira del Rivero, Karel Pacak, Ronald M. Summers
2025 J jnl
Advancing automatic photovoltaic defect detection using semi-supervised semantic segmentation of electroluminescence images.
Eng. Appl. Artif. Intell.
Abhishek Jha, Yogesh S. Rawat, Shruti Vyas
2025 A* conf
Decentralized Safe and Scalable Multi-Agent Control Under Limited Actuation.
ICRA
Vrushabh Zinage, Abhishek Jha, Rohan Chandra, Efstathios Bakolas
2025 J jnl
Multi-Robot Navigation in Social Mini-Games: Definitions, Taxonomy, and Algorithms.
CoRR
Rohan Chandra, Shubham Singh, Abhishek Jha, Dannon Andrade, Hriday Sainathuni, Katia Sycara
2025 J jnl
Oncopacket: integration of cancer research data using GA4GH phenopackets.
Bioinform.
Michael L. Sierk, Daniel Danis, Sujay Patil, Nobal Kishor, Rajdeep Mondal, Abhishek Jha, Qingrong Chen, Chunhua Yan, Monica C. Munoz-Torres, Daoud M. Meerzaman, Peter N. Robinson, Justin T. Reese
2024 J jnl
Decentralized Safe and Scalable Multi-Agent Control under Limited Actuation.
CoRR
Vrushabh Zinage, Abhishek Jha, Rohan Chandra, Efstathios Bakolas
2024 J jnl
PV-S3: Advancing Automatic Photovoltaic Defect Detection using Semi-Supervised Semantic Segmentation of Electroluminescence Images.
CoRR
Abhishek Jha, Yogesh S. Rawat, Shruti Vyas
2024 J jnl
Strategic Pseudo-Goal Perturbation for Deadlock-Free Multi-Agent Navigation in Social Mini-Games.
CoRR
Abhishek Jha, Tanishq Gupta, Sumit Singh Rawat, Girish Kumar
2024 J jnl
Weakly Supervised Detection of Pheochromocytomas and Paragangliomas in CT.
CoRR
David C. Oluigboa, Bikash Santra, Tejas Sudharshan Mathai, Pritam Mukherjee, Jianfei Liu, Abhishek Jha, Mayank Patel, Karel Pacak, Ronald M. Summers
2024 J jnl
Weakly supervised detection of pheochromocytomas and paragangliomas in CT using noisy data.
Comput. Medical Imaging Graph.
David Oluigbo, Tejas Sudharshan Mathai, Bikash Santra, Pritam Mukherjee, Jianfei Liu, Abhishek Jha, Mayank Patel, Karel Pacak, Ronald M. Summers
2023 — conf
Analyzing Textual Information from Financial Statements for Default Prediction.
ICDAR (3)
Chinesh Doshi, Himani Shrotiya, Rohit Bhiogade, Himanshu S. Bhatt, Abhishek Jha
2023 — conf
Anatomical Location-Guided Deep Learning-Based Genetic Cluster Identification of Pheochromocytomas and Paragangliomas from CT Images.
AMAI@MICCAI
Bikash Santra, Abhishek Jha, Pritam Mukherjee, Mayank Patel, Karel Pacak, Ronald M. Summers
2021 J jnl
Exploring Low-Cost Transformer Model Compression for Large-Scale Commercial Reply Suggestions.
CoRR
Vaishnavi Shrivastava, Radhika Gaonkar, Shashank Gupta, Abhishek Jha
2018 — conf
Assigning people to tasks identified in email: The EPA dataset for addressee tagging for detected task intent.
NUT@EMNLP
Revanth Rameshkumar, Peter Bailey, Abhishek Jha, Chris Quirk
2018 J jnl
Offline Extraction of Indic Regional Language from Natural Scene Image using Text Segmentation and Deep Convolutional Sequence.
CoRR
Sauradip Nag, Pallab Kumar Ganguly, Sumit Roy, Sourab Jha, Krishna Bose, Abhishek Jha, Koushik Dasgupta