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The Fractal Geometry of the Brain
  • Language: en
  • Pages: 999

The Fractal Geometry of the Brain

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The Fractal Geometry of the Brain
  • Language: en
  • Pages: 583

The Fractal Geometry of the Brain

  • Type: Book
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  • Published: 2016-08-03
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  • Publisher: Springer

Reviews the most intriguing applications of fractal analysis in neuroscience with a focus on current and future potential, limits, advantages, and disadvantages. Will bring an understanding of fractals to clinicians and researchers also if they do not have a mathematical background, and will serve as a good tool for teaching the translational applications of computational models to students and scholars of different disciplines. This comprehensive collection is organized in four parts: (1) Basics of fractal analysis; (2) Applications of fractals to the basic neurosciences; (3) Applications of fractals to the clinical neurosciences; (4) Analysis software, modeling and methodology.

The Fractal Geometry of the Brain
  • Language: en

The Fractal Geometry of the Brain

  • Type: Book
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  • Published: 2024-01-16
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  • Publisher: Springer

The new edition of the highly popular, The Fractal Geometry of the Brain, reviews the most intriguing applications of fractal analysis in neuroscience with a focus on current and future potential, limits, advantages, and disadvantages. It brings an understanding of fractals to clinicians and researchers even if they do not have a mathematical background, and it serves as a valuable tool for teaching the translational applications of computational fractal-based models to both students and scholars. As a consequence of the novel research developed at Professor Di Ieva's laboratory and other centers around the world, the second edition will explore the use of computational fractal-based analysis in many clinical disciplines and different fields of research, including neurology and neurosurgery, neuroanatomy and psychology, magnetoencephalography (MEG), eye-tracking devices (for the fractal computational characterization of “scanpaths”), deep learning in image analysis, radiomics for the characterization of brain MRIs, characterization of neuropsychological and psychiatric diseases and traits, signal complexity analysis in time series, and functional MRI, amongst others.

Computational Neurosurgery
  • Language: en
  • Pages: 561

Computational Neurosurgery

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Robotics in Skull-Base Surgery
  • Language: en
  • Pages: 117

Robotics in Skull-Base Surgery

This book is the first book in the field of robotics in skull-base surgery. It uncovers the pioneering realm of robotics in skull-base surgery through this remarkable compendium. With a comprehensive exploration from neurosurgical and otolaryngological perspectives, it delves into the diverse applications of robotics, accompanied by a thorough literature review. The chapters run the gamut from using robotics for approaches to the anterior and lateral skull base to using this technology for more specific approaches such as transoral methods and radiosurgery. The major advantage of this work is its organization and systematic delivery of information, which makes it a reliable and comprehensible source for the medical professional. It is a “go-to” resource for all researchers, clinicians, and medical doctors who are interested in the most recent trends in robotics in skull-base in Neurosurgery and ENT surgery.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
  • Language: en
  • Pages: 735

Medical Image Computing and Computer Assisted Intervention – MICCAI 2021

The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.* The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in m...

Pituitary Disorders, An Issue of Endocrinology and Metabolism Clinics of North America
  • Language: en
  • Pages: 273

Pituitary Disorders, An Issue of Endocrinology and Metabolism Clinics of North America

This issue of Endocrinology and Metabolism Clinics, edited by Drs. Anat Ben-Shlomo and Maria Fleseriu, is devoted to Pituitary Disorders. Articles in this issue include: Pathogenesis of Pituitary Tumors; Prognostic Clinicopathological Classification of Pituitary Adenomas; Familial Isolated Pituitary Adenomas (FIPA) and Mutations in the Aryl Hydrocarbon Receptor Interacting Protein (AIP) Gene; Pitfalls of IGF1 and GH Assays; Acromegaly: Pharmacotherapy; Hypothalamo-pituitary-adrenal Axis Testing; Pharmacotherapy of Cushing Disease: New Targets; Prolactinomas; Non-functioning Pituitary Tumors; Cabergoline Use for Pituitary Tumors and Valvular Disorders; Aggressive Atypical Pituitary Tumors and Carcinoma; Outcomes of Endoscopic Transsphenoidal Pituitary Surgery; Efficacy and Complications of Pituitary Irradiation; Hypopituitarism: GH and ACTH Deficiency; Hypophysitis; Hypopituitarism After Traumatic Brain Injury; Quality of Life in Pituitary Diseases; Pituitary and Bone Disease; Pituitary Tumor Management in Pregnancy; and Pituitary Apoplexy.

The Textbook of Nanoneuroscience and Nanoneurosurgery
  • Language: en
  • Pages: 846

The Textbook of Nanoneuroscience and Nanoneurosurgery

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Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
  • Language: en
  • Pages: 544

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries

This two-volume set LNCS 12658 and 12659 constitutes the thoroughly refereed proceedings of the 6th International MICCAI Brainlesion Workshop, BrainLes 2020, the International Multimodal Brain Tumor Segmentation (BraTS) challenge, and the Computational Precision Medicine: Radiology-Pathology Challenge on Brain Tumor Classification (CPM-RadPath) challenge. These were held jointly at the 23rd Medical Image Computing for Computer Assisted Intervention Conference, MICCAI 2020, in Lima, Peru, in October 2020.* The revised selected papers presented in these volumes were organized in the following topical sections: brain lesion image analysis (16 selected papers from 21 submissions); brain tumor image segmentation (69 selected papers from 75 submissions); and computational precision medicine: radiology-pathology challenge on brain tumor classification (6 selected papers from 6 submissions). *The workshop and challenges were held virtually.

Advanced Imaging and Therapy in Neuro-Oncology
  • Language: en
  • Pages: 190

Advanced Imaging and Therapy in Neuro-Oncology

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