Practical Clinical Andrology

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Brain and Human Body Modeling Computational Human Modeling at EMBC 2018 /

Table of Contents: “…Effect of non-parallel applicator insertion on 2.45 GHz microwave ablation zone size and shape -- Chapter 17. A Robust Algorithm for Voxel-to-Polygon Mesh Phantom Conversion -- Chapter 18. …”
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How to Practice Academic Medicine and Publish from Developing Countries? A Practical Guide / by Nundy, Samiran, Kakar, Atul, Bhutta, Zulfiqar A.

Table of Contents: “…-- 29 Systematic, Scoping and Narrative Reviews -- Part 6 After the paper is written -- 30 To which journal should you submit your article? -- 31 Publication algorithm -- 32 How to do a Peer Review? -- 33 How to handle Rejection? …”
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Ethics, Integrity and Policymaking The Value of the Case Study /

Table of Contents: “…Automated Justice, Automated Policing: Issues, Benefits and Risks in the Use of Artificial Intelligence and its Algorithms in Access to Justice and Law Enforcement (Caroline Gans Combe) -- Chapter 6. …”
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Machine Learning for Brain Disorders

Table of Contents: “…A Non-Technical Introduction to Machine Learning -- Classic Machine Learning Methods -- Deep Learning: Basics and Convolutional Neural Networks (CNN) -- Recurrent Neural Networks (RNN) - Architectures, Training Tricks, and Introduction to Influential Research -- Generative Adversarial Networks and Other Generative Models -- Transformers and Visual Transformers -- Clinical Assessment of Brain Disorders -- Neuroimaging in Machine Learning for Brain Disorders -- Electroencephalography and Magnetoencephalography -- Working with Omics Data, An Interdisciplinary Challenge at the Crossroads of Biology and Computer Science -- Electronic Health Records as Source of Research Data -- Mobile Devices, Connected Objects, and Sensors -- Medical Image Segmentation using Deep Learning -- Image Registration: Fundamentals and Recent Advances Based on Deep Learning -- Computer-Aided Diagnosis and Prediction in Brain Disorders -- Subtyping Brain Diseases from Imaging Data -- Data-Driven Disease Progression Modelling -- Computational Pathology for Brain Disorders -- Integration of Multimodal Data -- Evaluating Machine Learning Models and their Diagnostic Value -- Reproducibility in Machine Learning for Medical Imaging -- Interpretability of Machine Learning Methods Applied to Neuroimaging -- A Regulatory Science Perspective on Performance Assessment of Machine Learning Algorithms in Imaging -- Main Existing Datasets for Open Brain Research on Humans -- Machine Learning for Alzheimer's Disease and Related Dementias -- Machine Learning for Parkinson's Disease and Related Disorders -- Machine Learning in Neuroimaging of Epilepsy -- Machine Learning in Multiple Sclerosis -- Machine Learning for Cerebrovascular Disorders -- The Role of Artificial Intelligence in Neuro-Oncology Imaging -- Machine Learning for Neurodevelopmental Disorders -- Machine Learning and BrainImaging for Psychiatric Disorders: New Perspectives.…”
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Clinical Pathways in Stroke Rehabilitation Evidence-based Clinical Practice Recommendations /

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