5 papers
Representation geometry shapes task performance in vision-language modeling for CT enterography
Cristian Minoccheri, Emily Wittrup, Kayvan Najarian +1
Computed tomography (CT) enterography is a primary imaging modality for assessing inflammatory bowel disease (IBD), yet the representational choices that best support automated ana…
A Causal Machine Learning Framework for Treatment Personalization in Clinical Trials: Application to Ulcerative Colitis
Cristian Minoccheri, Sophia Tesic, Kayvan Najarian +1
Randomized controlled trials estimate average treatment effects, but treatment response heterogeneity motivates personalized approaches. A critical question is whether statisticall…
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…
LISM: Long-range Integrative State space Models via Input-Latent State Interactions
Cong Ma, Kayvan Najarian, Hovhannes Baghdasaryan +1
State space models (SSMs) are an emerging paradigm that achieves linear-time scaling, however, they intrinsically suffer from "curse of memory". The memory of SSMs, including Mamba…
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…