Towards Better Guided Attention and Human Knowledge Insertion in Deep Convolutional Neural Networks. - Ankit Gupta 018; Ida-Maria Sintorn (ECCV Workshops (4), 2022)

SimSearch: A Human-in-The-Loop Learning Framework for Fast Detection of Regions of Interest in Microscopy Images. - Ankit Gupta 018; Alan Sabirsh; Carolina Wählby; Ida-Maria Sintorn (IEEE J. Biomed. Health Informatics, 2022)

Evaluating the utility of brightfield image data for mechanism of action prediction. - Philip J. Harrison; Ankit Gupta 018; Jonne Rietdijk; Håkan Wieslander; Jordi Carreras Puigvert; Polina Georgiev; Carolina Wählby; Ola Spjuth; Ida-Maria Sintorn (PLoS Comput. Biol., 2023)

Adapting Deep Learning for Microscopy: Interaction, Application, and Validation. - Ankit Gupta 018 (2023)

Efficient high-resolution template matching with vector quantized nearest neighbour fields. - Ankit Gupta 018; Ida-Maria Sintorn (Pattern Recognit., 2024)

Data management of scientific applications in a reinforcement learning-based hierarchical storage system. - Tianru Zhang; Ankit Gupta 018; María Andreína Francisco Rodríguez; Ola Spjuth; Andreas Hellander; Salman Toor (Expert Syst. Appl., 2024)