Akriti Sharma

A. Sharma, D. Altan, D. Marijan and A. Maressa

From high-frequency sensors to noon reports: Using transfer learning for shaft power prediction in maritime

TBA

A. Sharma, F. Alawad, R. Kakulavarapu, M. Iliceto, M. Riegler, M. Stensen and H. L. Hammer

Exploring Embryo Development at the Morula Stage-an AI-based Approach to Determine Whether to Use or Discard an Embryo

2024 4th International Conference on Applied Artificial Intelligence (ICAPAI)

A. Sharma, A. Z. Ansari, K. Radhika, M. Stensen, M. Riegler and H. L. Hammer

Predicting Cell Cleavage Timings from Time-Lapse Videos of Human Embryos

Big Data and Cognitive Computing

A. Sharma, M. Stensen, E. Delbarre, M. Siddiqui, T. Haugen, M. Riegler and H. L. Hammer

Detecting human embryo cleavage stages using YOLO v5 object detection algorithm

Nordic Artificial Intelligence Research and Development

A. Sharma, R. Kakulavarapu, V. Thambawita, M. Siddiqui, E. Delbarre, M. Riegler, H. L. Hammer and M. Stensen

Automating tracking of cell division for human embryo development in time lapse videos

Human Reproduction

A. Sharma, M. H. Stensen, E. Delbarre, T. B. Haugen and H. L. Hammer

Explainable Artificial Intelligence for Human Embryo Cell Cleavage Stages Analysis

Proceedings of the 3rd ACM Workshop on Intelligent Cross-Data Analysis and Retrieval