Yasin Shokrollahi

According to our database, Yasin Shokrollahi authored at least 5 papers between 2023 and 2025.

Collaborative distances:

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

2025

Optimizing Cell Recognition in Sarcoma Multiplex Immunohistochemistry Images via Pre-Training Strategies.

Pingjun Chen, Maria E. Salvatierra, Alejandra Serrano, Karina Pinao Gonzalez, Sara Ranjbar, Yasin Shokrollahi, Tanishq Gautam, Leticia Rodriguez, Patient Mosaic Team, Xiaoxi Pan, Luisa M. Solis Soto, Yinyin Yuan

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024

Advancing Multiplex Immunofluorescence Imaging Cell Detection using Semi-Supervised Learning with Pseudo-Labeling.

Yasin Shokrollahi, Karina Pinao Gonzales, Maria Esther Salvatierra, Simon P. Castillo, Tanishq Gautam, Pingjun Chen, Leticia Rodriguez, Sara Ranjbar, Patient Mosaic Team, Luisa Solis-Soto, Yinyin Yuan, Xiaoxi Pan

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

Immune-Guided AI for Reproducible Regions of Interest Selection in Multiplex Immunofluorescence Pathology Imaging.

Tanishq Gautam, Karina P. Gonzalez, Maria E. Salvatierra, Alejandra Serrano, Pingjun Chen, Xiaoxi Pan, Yasin Shokrollahi, Sara Ranjbar, Leticia Rodriguez, Luisa Solis-Soto, Yinyin Yuan, Simon P. Castillo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

A Comprehensive Review of Generative AI in Healthcare.

Yasin Shokrollahi, Sahar Yarmohammadtoosky, Matthew M. Nikahd, Pengfei Dong, Xianqi Li, Linxia Gu

CoRR, 2023

Deep Learning-based Prediction of Stress and Strain Maps in Arterial Walls for Improved Cardiovascular Risk Assessment.

Yasin Shokrollahi, Pengfei Dong, Xianqi Li, Linxia Gu

CoRR, 2023