Order Article Reprints

Tran AT, Wen J, Abou Karam G, Zeevi D, Qureshi AI, Malhotra A, Majidi S, Valizadeh N, Murthy SB, Sabuncu MR, et al. Comparing Handcrafted Radiomics Versus Latent Deep Learning Features of Admission Head CT for Hemorrhagic Stroke Outcome Prediction. BioTech. 2025; 14(4):87. https://doi.org/10.3390/biotech14040087

Tran, Anh T., Junhao Wen, Gaby Abou Karam, Dorin Zeevi, Adnan I. Qureshi, Ajay Malhotra, Shahram Majidi, Niloufar Valizadeh, Santosh B. Murthy, Mert R. Sabuncu, and et al. 2025. "Comparing Handcrafted Radiomics Versus Latent Deep Learning Features of Admission Head CT for Hemorrhagic Stroke Outcome Prediction" BioTech 14, no. 4: 87. https://doi.org/10.3390/biotech14040087

Tran, A. T., Wen, J., Abou Karam, G., Zeevi, D., Qureshi, A. I., Malhotra, A., Majidi, S., Valizadeh, N., Murthy, S. B., Sabuncu, M. R., Roh, D., Falcone, G. J., Sheth, K. N., & Payabvash, S. (2025). Comparing Handcrafted Radiomics Versus Latent Deep Learning Features of Admission Head CT for Hemorrhagic Stroke Outcome Prediction. BioTech, 14(4), 87. https://doi.org/10.3390/biotech14040087