Machine Learning in Clinical Neuroscience / Acta Neurochirurgica Supplement Bd.134 (PDF)
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This book bridges the gap between data scientists and clinicians by introducing all relevant aspects of machine learning in an accessible way, and will certainly foster new and serendipitous applications of machine learning in the clinical neurosciences. Building from the ground up by communicating the foundational knowledge and intuitions first before progressing to more advanced and specific topics, the book is well-suited even for clinicians without prior machine learning experience.
Authored by a wide array of experienced global machine learning groups, the book is aimed at clinicians who are interested in mastering the basics of machine learning and who wish to get started with their own machine learning research.
The Machine Intelligence in Clinical Neuroscience (MICN) Laboratory at the Department of Neurosurgery of the University Hospital Zurich studies clinical applications of machine intelligence to improve patient care in clinical neuroscience. The group focuses on diagnostic, prognostic and predictive analytics that aid in decision-making by increasing objectivity and transparency to patients. Other major interests of our group members are in medical imaging, and intraoperative applications of machine vision.
Victor E. Staartjes:
Dr. Victor Staartjes is the group leader of the Machine Intelligence in Clinical Neuroscience (MICN) Laboratory and a neurosurgery resident at the University Hospital Zurich under Prof. L. Regli. Originating from Amsterdam, he received his medical degree from the University of Zurich and is studying for a PhD in clinical machine learning at the Vrije Universiteit Amsterdam. Dr. Staartjes' research interests are in applications of machine learning to medical imaging and clinical prediction modeling, as well as robotic neurosurgery and personalized / precision medicine.
Luca Regli:
Prof. Luca Regli studied medicine at the University of Lausanne, he trained with Nicolas de Tribolet and obtained board certification in neurosurgery. At the renowned Mayo Clinic in Rochester, USA he specialized in the microsurgical treatment of complex intracranial lesions. In 2008 he was called as a full professor and chairman of neurosurgery at the University Medical Center of Utrecht, the Netherlands. In 2012 the University of Zurich nominated him as full professor and the University Hospital Zurich invited him to chair the Department of Neurosurgery, following into the steps of famous predecessors of Prof. Krayenbuehl, Prof. Yasargil, Prof. Yonekawa, and Prof. Bertalanffy, which is a renowned international reference center for cerebrovascular diseases, neuro-oncology and functional neurosurgery. Prof. Regli has developed his research interests driven by clinical questions in the domain of cerebral ischemia, cerebral metabolism, cerebral homeostasis and edema as well as in cutting-edge surgical techniques for cerebral revascularization and intra-operative imaging. The academic activity is reflected in over 265 publications in peer reviewed journals and 18 chapters in textbooks. As one of the worldwide leading experts in neurosurgery he is regularly invited as speaker at meetings all over the world. The clinical expertise is reflected in the
Carlo Serra
Dr. Carlo Serra is an assistant professor of neurosurgery and senior neurosurgeon at the University Hospital Zurich and co-leads the MICN Laboratory. Originating from Venice, Dr. Serra completed his medical studies and part of residency in Milan. He then moved to Zurich where he trained with Prof. L. Regli. During a fellowship with Prof. U. Türe and Prof. M.G. Yasargil in Istanbul, he developed a special expertise in brain tumor and skull base surgery as well as microneurosurgical anatomy, specifically white matter fiber dissection. He is currently responsible for the neuro-oncology and skull base programs of the Department of Neurosurgery of the University Hospital Zurich.
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- 2021, 1st ed. 2022, 361 Seiten, Englisch
- Herausgegeben: Victor E. Staartjes, Luca Regli, Carlo Serra
- Verlag: Springer International Publishing
- ISBN-10: 303085292X
- ISBN-13: 9783030852924
- Erscheinungsdatum: 03.12.2021
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 17 MB
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