Research Fellow
Harvard Medical School/Massachusetts General Hospital
Boston, United States
Abder-Rahman Ali, PhD is a Research Fellow at Harvard Medical School/Massachusetts General Hospital, where he works on applying machine learning and image processing techniques to develop novel solutions to medical ultrasound imaging and shear wave elastography (SWE). Abder's research interests in medical imaging began during his MSc Software Engineering degree at DePaul University where he worked on content-based image retrieval (CBIR) systems and on bridging the gap between human and computer interpretation of similarity in medical imaging. This was followed by an internship at RWTH Aachen University where he worked on building a joint database for dermoscopic images that would serve as a standard reference for researchers. He then worked as a researcher at Clermont Auvergne University where he did research on liver lesion segmentation from MRI and medical ultrasound imaging using fuzzy logic-based techniques. Abder eventually earned his Ph.D in Computing Science from the University of Stirling where he worked on various topics that encompassed the medical image analysis standard pipeline and were mainly geared toward melanoma detection in particular. That is, he developed algorithms pertaining to image segmentation, feature extraction, and image classification, and has also developed statistical measures for extracting fine features from skin lesions, in addition to developing approaches for tackling the ambiguity inherent in medical images. These efforts resulted in several peer-reviewed publications in top-tier conferences and high-impact factor journals.
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