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eess.IV2025
LoRA-based methods on Unet for transfer learning in Subarachnoid Hematoma Segmentation
Cristian Minoccheri, Matthew Hodgman, Haoyuan Ma +4
Aneurysmal subarachnoid hemorrhage (SAH) is a life-threatening neurological emergency with mortality rates exceeding 30%. Transfer learning from related hematoma types represents a…
cs.LG2025
Supervised Coupled Matrix-Tensor Factorization (SCMTF) for Computational Phenotyping of Patient Reported Outcomes in Ulcerative Colitis
Cristian Minoccheri, Sophia Tesic, Kayvan Najarian +1
Phenotyping is the process of distinguishing groups of patients to identify different types of disease progression. A recent trend employs low-rank matrix and tensor factorization…