Navchetan Awasthi

11 papers Journal 6Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The MAMA-MIA Challenge: Advancing Generalizability and Fairness in Breast MRI Tumor Segmentation and Treatment Response Prediction. CoRR Lidia Garrucho, Smriti Joshi, Kaisar Kushibar, Richard Osuala, Maciej Bobowicz, Xavier Bargalló, Paulius Jarusevicius, Kai Geissler, Raphael Schäfer, Muhammad Alberb, Tony Xu, Anne L. Martel, Daniel Sleiman, Navchetan Awasthi, Hadeel Awwad, Joan C. Vilanova, Robert Martí, Daan Schouten, Jeong Hoon Lee, Mirabela Rusu, Eleonora Poeta, Luisa Vargas, Eliana Pastor, Maria A. Zuluaga, Jessica Kächele, Dimitrios Bounias, Alexandra Ertl, Katarzyna Gwozdziewicz, Maria-Laura Cosaka, Pasant M. Abo-Elhoda, Sara W. Tantawy, Shorouq S. Sakrana, Norhan O. Shawky-Abdelfatah, Amr Muhammad Abdo-Salem, Androniki Kozana, Eugen Divjak, Gordana Ivanac, Katerina Nikiforaki, Michail E. Klontzas, Rosa García-Dosdá, Meltem Gulsun-Akpinar, Oguz Lafci, Carlos Martín-Isla, Oliver Díaz, Laura Igual, Karim Lekadir
2025	J	`jnl`	Minimal data poisoning attack in federated learning for medical image classification: An attacker perspective. Artif. Intell. Medicine K. Naveen Kumar, C. Krishna Mohan, Linga Reddy Cenkeramaddi, Navchetan Awasthi
2025	J	`jnl`	Tumor Detection, Segmentation and Classification Challenge on Automated 3D Breast Ultrasound: The TDSC-ABUS Challenge. CoRR Gongning Luo, Mingwang Xu, Hongyu Chen, Xinjie Liang, Xing Tao, Dong Ni, Hyunsu Jeong, Chulhong Kim, Raphael Stock, Michael Baumgartner, Yannick Kirchhoff, Maximilian Rokuss, Klaus H. Maier-Hein, Zhikai Yang, Tianyu Fan, Nicolas Boutry, Dmitry Tereshchenko, Arthur Moine, Maximilien Charmetant, Jan Sauer, Hao Du, Xiang-Hui Bai, Vipul Pai Raikar, Ricardo Montoya-del-Angel, Robert Marti, Miguel Luna, Dongmin Lee, Abdul Qayyum, Moona Mazher, Qihui Guo, Changyan Wang, Navchetan Awasthi, Qiaochu Zhao, Wei Wang, Kuanquan Wang, Qiucheng Wang, Suyu Dong
2025	—	`conf`	nnRAG - Incorporating Human-Feedback for Neural Network Driven Similarity Search: A Preliminary Feasibility Study. ICHI Siva Singireddi, Sarthak Pandey, Rohit Pardasani, Raj Kiran V, Navchetan Awasthi
2024	J	`jnl`	Demystifying the Effect of Receptive Field Size in U-Net Models for Medical Image Segmentation. CoRR Vincent Loos, Rohit Pardasani, Navchetan Awasthi
2021	J	`jnl`	Advanced Ultrasound and Photoacoustic Imaging in Cardiology. Sensors Min Wu, Navchetan Awasthi, Nastaran Mohammadian Rad, Josien P. W. Pluim, Richard G. P. Lopata
2021	J	`jnl`	Multi-Threshold Attention U-Net (MTAU) based Model for Multimodal Brain Tumor Segmentation in MRI scans. CoRR Navchetan Awasthi, Rohit Pardasani, Swati Gupta
2020	—	`conf`	Classification of 12 Lead ECG Signal Using 1D-Convolutional Neural Network With Class Dependent Threshold. CinC Rohit Pardasani, Navchetan Awasthi
2020	—	`conf`	Machine Learning and Deep Learning Approaches to Quantify Respiratory Distress Severity and Predict Critical Alarms. ICHI Rohit Pardasani, Rupanjali Chaudhuri, Navchetan Awasthi, Mansi Goel
2020	—	`conf`	Multi-threshold Attention U-Net (MTAU) Based Model for Multimodal Brain Tumor Segmentation in MRI Scans. BrainLes@MICCAI (2) Navchetan Awasthi, Rohit Pardasani, Swati Gupta
2020	—	`conf`	Quantitative Assessment of Respiratory Distress Using Convolutional Neural Network for Multivariate Time Series Segmentation. CinC Rohit Pardasani, Rupanjali Chaudhuri, Navchetan Awasthi, Sheetal Chaurasia, Sushma Maya