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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Cobb angle estimation from AP X Ray Images using Region Proposal Neural Networks
International Journal of Scientific Research in Engineering and Management (IJSREM) Volume: 05 Issue:
07 | July - 2021 ISSN: 2582-3930
Ultrasound Ulnar Nerve Measurement in a Healthy Population
Rheumatology and Therapy
Developing a Radiomics Signature for Supratentorial Extra-Ventricular Ependymoma Using Multimodal MR Imaging
Journal: Frontiers in Neurology, Volume: 12
Predictive and discriminative localization of pathology using high resolution class activation maps with CNNs
Journal: PeerJ Computer Science, Volume: 7
Structural connectivity predicts sequential processing differences in music perception ability
Journal: European Journal of Neuroscience
