Computational Neurosurgery
Di Ieva, Antonio, Suero Molina, Eric, Liu, Sidong
- 出版商: Springer
- 出版日期: 2024-11-11
- 售價: $11,490
- 貴賓價: 9.5 折 $10,916
- 語言: 英文
- 頁數: 590
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3031648919
- ISBN-13: 9783031648915
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作者簡介
Antonio Di Ieva, M.D., Ph.D., FRACS, IFAANS
Antonio Di Ieva is a Professor of Neurosurgery and Associate Professor of Neuroanatomy at Macquarie University (Sydney, Australia), with expertise in neuro-oncology, neurotraumatology, neuroimaging, specialising in microneurosurgery, spine surgery, and pain treatment. He operates at the Macquarie University Hospital and Nepean Hospital in Sydney. Prof Di Ieva has a main interest in neuro-oncology and skull base surgery, with 200 peer-reviewed publications and four textbooks (including the Handbook of Skull Base Surgery, Thieme, and The Fractal Geometry of the Brain, Springer, the latter with the second edition published in 2024), awarded international neurosurgical research awards, including the 2019 John Mitchell Crouch Fellowship, the most prestigious research award of the Royal Australasian College of Surgeons, as well an Australian Research Council (ARC) Future Fellowship. Over the last 5 years, Professor DI Ieva has been granted 8 million Australian dollars for research. He leads international and national seminars and workshops teaching neuroanatomy and neurosurgical approaches, including the first workshop on the white matter dissection technique and connectomics in Australia. He is the world leader in the field of computational neurosurgery, with expertise in the application of computational modeling and Artificial Intelligence to the study of diseases of neurological and neurosurgical relevance. He is the head of the Computational NeuroSurgery (CNS) Lab at Macquarie University, founded by him in 2018, and he is involved in trialing and patenting new surgical devices for medical use. In 2021, he established the first Computational Neurosurgery Fellowship in the world.
Eric Suero Molina, Priv.-Doz. Dr. med., MBA, FEBNS
Dr. Suero is a Neurosurgeon and University Lecturer at the University of Münster, Germany (Chairman: Prof. Dr. med. W. Stummer). He is the director of the minimally invasive Skull Base surgery program of the same hospital. He has further expertise in Neuro-oncology and Spine surgery. He is the director of the Skull Base & Pituitary Pathologies Hands-on Course in Münster. He acts as a research group leader in optical and hyperspectral imaging of brain tumors at the University of Münster, where he is currently using machine learning and deep learning algorithms to investigate brain tumors. He published over 60 peer-reviewed publications and three book chapters. He furthermore acted as a co-editor of one textbook (Skull Base Surgery, IntechOpen). He graduated in Medicine from the faculty of Medicine of Münster. He underwent neurosurgical training at the same university. He holds a master's degree in business administration in international healthcare management from the Frankfurt School of Business and Management. Dr. Suero was the first computational neurosurgery fellow in the world, pursuing his fellowship at the CNS Lab at Macquarie University.
Sidong Liu, PhD
Sidong Liu is a Senior Research Fellow at Australia Institute of Health Innovation (AIHI), Macquarie University. Dr Liu was awarded an Australian National Health and Medical Research Council (NHMRC) Peter Doherty Biomedical Early Career Fellowship in 2019. This allowed him to establish a new research stream - Translational AI for Healthcare, bringing together a multidisciplinary team at AIHI. Dr Liu has more than 10 years of research experience in the fields of health informatics, medical image computing, and translational healthcare AI. In partnership with Computational NeuroSurgery (CNS) Lab at Macquarie University and the Surgical Planning Lab (SPL) at Harvard Medical School, Dr Liu pioneered the use of deep learning in brain tumour diagnosis based on digital histopathology slides and MRI. Dr Liu has authored >100 peer-reviewed research papers in high impact journals and conferences in his research fields. In 2021, Dr Liu was named the Early Career Researcher of the Year - STEMM Category by Macquarie University.
Carlo Russo, M.Sc. CS
Carlo Russo is a Senior Researcher and Data Scientist at Joint Research Centre (JRC) in Ispra, Italy, and Honorary Research Associate at the Computational NeuroSurgery (CNS) Lab at Macquarie University, Sydney. He works on application and development of algorithms for image analysis in the neurosciences using non-linear geometry, including fractal analysis, and deep learning. He has previously worked more than 15 years at Humanitas Research Hospital in Milan (Italy), where he developed innovative software and hardware aimed to introduce computer aided automatic diagnosis tools both in research and in clinical workflows. He is author and co-author of 30 peer-reviewed publications and 5 patents.
作者簡介(中文翻譯)
安東尼奧·迪·耶瓦醫學博士、哲學博士、FRACS、IFAANS
安東尼奧·迪·耶瓦是澳洲麥考瑞大學(Macquarie University,悉尼)的神經外科教授及神經解剖學副教授,專長於神經腫瘤學、神經創傷學、神經影像學,並專注於微神經外科、脊椎手術及疼痛治療。他在麥考瑞大學醫院和悉尼的內比恩醫院進行手術。迪·耶瓦教授主要關注神經腫瘤學和顱底手術,擁有200篇同行評審的出版物及四本教科書(包括《顱底手術手冊》(Handbook of Skull Base Surgery,Thieme)和《大腦的分形幾何》(The Fractal Geometry of the Brain,Springer,後者的第二版將於2024年出版),並獲得多項國際神經外科研究獎,包括2019年約翰·米切爾·克勞奇獎學金(John Mitchell Crouch Fellowship),這是澳洲皇家外科醫學院最具聲望的研究獎項,以及澳洲研究委員會(ARC)未來獎學金。在過去五年中,迪·耶瓦教授獲得800萬澳元的研究資助。他主導國際和國內的研討會及工作坊,教授神經解剖學和神經外科方法,包括澳洲首個白質解剖技術和連接組學的工作坊。他是計算神經外科領域的世界領導者,專長於計算建模和人工智慧在神經及神經外科相關疾病研究中的應用。他是麥考瑞大學計算神經外科實驗室(Computational NeuroSurgery,CNS Lab)的負責人,該實驗室由他於2018年創立,並參與新醫療器械的試驗和專利申請。2021年,他成立了全球首個計算神經外科獎學金。
埃里克·蘇埃羅·莫利納,Priv.-Doz. 醫學博士、MBA、FEBNS
蘇埃羅醫生是德國明斯特大學的神經外科醫生及大學講師(主席:W. Stummer醫學博士)。他是該醫院微創顱底手術計劃的主任,並在神經腫瘤學和脊椎手術方面擁有進一步的專長。他是明斯特顱底及腦下垂體病理實作課程的主任。他在明斯特大學擔任腦腫瘤的光學和超光譜成像研究小組的負責人,目前正在使用機器學習和深度學習算法研究腦腫瘤。他發表了超過60篇同行評審的出版物和三個書章。此外,他還擔任一本教科書(《顱底手術》(Skull Base Surgery,IntechOpen)的共同編輯。他在明斯特醫學院獲得醫學學位,並在同一所大學接受神經外科訓練。他擁有法蘭克福商學院的國際醫療管理工商管理碩士學位。蘇埃羅醫生是全球首位計算神經外科獎學金獲得者,曾在麥考瑞大學的CNS Lab進行獎學金研究。
劉思東,哲學博士
劉思東是澳洲麥考瑞大學健康創新研究所(AIHI)的高級研究員。劉博士於2019年獲得澳洲國家健康與醫學研究委員會(NHMRC)彼得·多赫提生物醫學早期職業獎學金,這使他能夠建立一個新的研究領域——醫療保健的轉化人工智慧,並在AIHI組建了一個多學科團隊。劉博士在健康資訊學、醫學影像計算和轉化醫療保健人工智慧領域擁有超過10年的研究經驗。與麥考瑞大學的計算神經外科實驗室(CNS Lab)和哈佛醫學院的外科規劃實驗室(SPL)合作,劉博士開創了基於數位組織病理切片和MRI的腦腫瘤診斷中深度學習的應用。劉博士在高影響力期刊和會議上發表了超過100篇同行評審的研究論文。