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2020 – today
- 2025
[j4]Nihar Masurkar, Ankit Das, Manoj Rudraboina, Drake Morris-Sjolund, Fernando Alvidrez, Ehsan Dehghan-Niri, Hamid Marvi:
A biologically-inspired tube inspection robot with friction-based mobility. Int. J. Intell. Robotics Appl. 9(1): 164-175 (2025)- [c8]Ankit Das, Chandan Gautam, Pritee Agrawal, Feng Yang, Yong Liu, Ramasamy Savitha:
MedGCD: Generalized Category Discovery in Medical Imaging. MICCAI (6) 2025: 427-437 - 2024
- [j3]Ankit Das, Debraj Ghosh, Shing-Fung Lau, Pavitra Srivastava, Aniruddha Ghosh, Chien-Fang Ding:
A critical review of process monitoring for laser-based additive manufacturing. Adv. Eng. Informatics 62: 102932 (2024) - [j2]Ankit Das, Deven Prakash Paramaj, Shambhavi B. R:
Scalable Video Fidelity Enhancement: Leveraging the state-of-the-art AI Models. Scalable Comput. Pract. Exp. 25(3): 1658-1666 (2024) - [c7]Ankit Das, Khushi Sahoo, Bharati Mishra:
Implementation of a Faster B+ Tree. OCIT 2024: 796-802 - [c6]Ankit Das, Kee Yen Cheng, Yong Liu, Rick Siow Mong Goh, Feng Yang:
Machine Learning-Based Radiomic Features for Glioblastoma Overall Survival Prediction. CAI 2024: 894-898 - [c5]Zheng Kai Liaw, Ankit Das, Shaista Hussain, Feng Yang, Yong Liu, Rick Siow Mong Goh:
SegMAE-Net: A Hybrid Method Using Masked Autoencoders for Consistent 3D Medical Image Segmentation. CAI 2024: 1272-1277 - [c4]Ankit Das, Chandan Gautam, Hisham Cholakkal, Pritee Agrawal, Feng Yang, Ramasamy Savitha, Yong Liu:
Decoupled Training for Semi-supervised Medical Image Segmentation with Worst-Case-Aware Learning. MICCAI (12) 2024: 45-55 - [d1]Devanshu Sawant, Shanthanu Shenoy, Ankit Das:
Instance Segmentation for Droplet Through Sessile Drop Technique. IEEE DataPort, 2024
- 2020
- [j1]Shaista Hussain
, Ayesha Anees, Ankit Das, Binh P. Nguyen, Mardiana Marzuki, Shuping Lin, Graham Wright, Amit Singhal:
High-content image generation for drug discovery using generative adversarial networks. Neural Networks 132: 353-363 (2020)
2010 – 2019
- 2019
- [c3]Shaista Hussain, Ankit Das, Binh P. Nguyen, Mardiana Marzuki, Shuping Lin, Arun Kumar, Graham Wright, Amit Singhal:
DeLHCA: Deep transfer learning for high-content analysis of the effects of drugs on immune cells. TENCON 2019: 796-801 - [c2]Ankit Das, Feng Yang, Mohamed Salahuddin Habibullah, Zhou Yu, Farzam Farbiz:
Tool Wear Health Monitoring with Limited Degradation Data. TENCON 2019: 1103-1108 - [c1]Ankit Das, Shaista Hussain, Feng Yang, Mohamed Salahuddin Habibullah, Arun Kumar:
Deep Recurrent Architecture with Attention for Remaining Useful Life Estimation. TENCON 2019: 2093-2098
Coauthor Index
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