Ankit Gupta

According to our database, Ankit Gupta authored at least 8 papers between 2022 and 2025.

Collaborative distances:

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

2025

Benchmarking and Evaluation of AI Models in Biology: Outcomes and Recommendations from the CZI Virtual Cells Workshop.

Elizabeth Fahsbender, Alma Andersson, Jeremy Ash, Polina Binder, Daniel Burkhardt, Benjamin Chang, Georg K. Gerber, Anthony Gitter, Patrick Godau, Ankit Gupta, Genevieve Haliburton, Siyu He, Trey Ideker, Ivana Jelic, Aly Khan, Yang-Joon Kim, Aditi Krishnapriyan, Jon M. Laurent, Tianyu Liu, Emma Lundberg, Shalin B. Mehta, Rob Moccia, Angela Oliveira Pisco, Katherine S. Pollard, Suresh Ramani, Julio Saez-Rodriguez, Yasin Senbabaoglu, Elana Simon, Srinivasan Sivanandan, Gustavo Stolovitzky, Marc Valer, Bo Wang, Xikun Zhang, James Zou, Katrina Kalantar

CoRR, July, 2025

2024

Data management of scientific applications in a reinforcement learning-based hierarchical storage system.

Tianru Zhang, Ankit Gupta, María Andreína Francisco Rodríguez, Ola Spjuth, Andreas Hellander, Salman Toor

Expert Syst. Appl., March, 2024

Efficient high-resolution template matching with vector quantized nearest neighbour fields.

Ankit Gupta, Ida-Maria Sintorn

Pattern Recognit., 2024

How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities.

Charlotte Bunne, Yusuf H. Roohani, Yanay Rosen, Ankit Gupta, Xikun Zhang, Marcel Roed, Theo Alexandrov, Mohammed AlQuraishi, Patricia Brennan, Daniel B. Burkhardt, Andrea Califano, Jonah Cool, Abby F. Dernburg, Kirsty Ewing, Emily B. Fox, Matthias Haury, Amy E. Herr, Eric Horvitz, Patrick D. Hsu, Viren Jain, Gregory R. Johnson, Thomas Kalil, David R. Kelley, Shana O. Kelley, Anna Kreshuk, Tim Mitchison, Stephani Otte, Jay Shendure, Nicolas J. Sofroniew, Fabian J. Theis, Christina V. Theodoris, Srigokul Upadhyayula, Marc Valer, Bo Wang, Eric Xing, Serena Yeung-Levy, Marinka Zitnik, Theofanis Karaletsos, Aviv Regev, Emma Lundberg, Jure Leskovec, Stephen R. Quake

CoRR, 2024

2023

Adapting Deep Learning for Microscopy: Interaction, Application, and Validation.

Ankit Gupta

PhD thesis, 2023

Evaluating the utility of brightfield image data for mechanism of action prediction.

Philip J. Harrison, Ankit Gupta, Jonne Rietdijk, Håkan Wieslander, Jordi Carreras Puigvert, Polina Georgiev, Carolina Wählby, Ola Spjuth, Ida-Maria Sintorn

PLoS Comput. Biol., 2023

2022

SimSearch: A Human-in-The-Loop Learning Framework for Fast Detection of Regions of Interest in Microscopy Images.

Ankit Gupta, Alan Sabirsh, Carolina Wählby, Ida-Maria Sintorn

IEEE J. Biomed. Health Informatics, 2022

Towards Better Guided Attention and Human Knowledge Insertion in Deep Convolutional Neural Networks.

Ankit Gupta, Ida-Maria Sintorn

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022