F. N. Golabchi

Pixel‐based comparison of spinal cord MR diffusion anisotropy with axon packing parameters

S. Maier, F. N. Golabchi, D. Brooks, 2010, Magnetic resonance in medicine.

Refractive errors and corrections for OCT images in an inflated lung phantom

C. A. DiMarzio, D. H. Brooks, C. DiMarzio, 2012, Biomedical optics express.

Assessing aberrant muscle activity patterns via the analysis of surface EMG data collected during a functional evaluation

P. Bonato, F. N. Golabchi, G. Severini, 2019, BMC Musculoskeletal Disorders.

Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment.

P. Bonato, F. N. Golabchi, J. Daneault, 2016, Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.

Crowdsourcing digital health measures to predict Parkinson’s disease severity: the Parkinson’s Disease Digital Biomarker DREAM Challenge

Paolo Bonato, Gloria Vergara-Diaz, Yuanfang Guan, 2020, bioRxiv.

Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment

Paolo Bonato, Björn Eskofier, Jochen Klucken, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A novel method for assessing the severity of levodopa-induced dyskinesia using wearable sensors

Shyamal Patel, Paolo Bonato, Sunghoon Ivan Lee, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Axon segmentation in microscopy images — A graphical model based approach

Dana H. Brooks, F. Noushin Golabchi, F. N. Golabchi, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Graphical model based segmentation of massive numbers of irregular small objects in images, with application to axon characterization in histological sections

Fatemeh Noushin Golabchi, F. N. Golabchi, 2013 .

Estimating Bradykinesia in Parkinson's Disease with a Minimum Number of Wearable Sensors

Shyamal Patel, Paolo Bonato, Sunghoon Ivan Lee, 2017, 2017 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE).