2 papers
eess.IV2026
Blasto-Net: An Explainable Multi-Task Learning for Blastocyst Segmentation, Grading, and Implantation Prediction
Zahra Asghari Varzaneh, Reza Khoshkangini, Magnus Johnsson +2
This study introduces Blasto-Net, a multi-task deep learning model for comprehensive blastocyst analysis. The proposed model performs three tasks simultaneously in a single forward…
cs.CV2026
Predicting Blastocyst Formation in IVF: Integrating DINOv2 and Attention-Based LSTM on Time-Lapse Embryo Images
Zahra Asghari Varzaneh, Niclas Wölner-Hanssen, Reza Khoshkangini +2
The selection of the optimal embryo for transfer is a critical yet challenging step in in vitro fertilization (IVF), primarily due to its reliance on the manual inspection of exten…