In recent years there has been an increased thrust to understand and quantify the complex information conveyed by medical images. Developing modern computational techniques that offer the potential for extracting diverse and complex information from imaging data and applying these to a plethora of clinical studies is crucial. These techniques not only support precise quantification but also overcome the limitations of subjective visual interpretation. Furthermore, these methods can facilitate finding specific markers that relate to pathologies as well as aid in treatment planning.
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Ultrasound Ulnar Nerve Measurement in a Healthy Population
Rheumatology and Therapy
Ischiofemoral impingement: the evolutionary cost of pelvic obstetric adaptation
Journal of Hip Preservation Surgery
"Open-Set Recognition for Skin Lesions Using Dermoscopic Images"
International Workshop on Machine Learning in Medical Imaging, 614-623
"Functional connectivity-based prediction of Autism on site harmonized ABIDE dataset"
IEEE Transactions on Biomedical Engineering, 2021
