- Table View
- List View
Machine Learning in Clinical Neuroimaging: 6th International Workshop, MLCN 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings (Lecture Notes in Computer Science #14312)
by Ahmed Abdulkadir Deepti R. Bathula Nicha C. Dvornek Sindhuja T. Govindarajan Mohamad Habes Vinod Kumar Esten Leonardsen Thomas Wolfers Yiming XiaoThis book constitutes the refereed proceedings of the 6th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2023, held in Conjunction with MICCAI 2023 in Vancouver, Canada, in October 2023. The book includes 16 papers which were carefully reviewed and selected from 28 full-length submissions.The 6th International Workshop on Machine Learning in Clinical Neuroimaging (MLCN 2023) aims to bring together the top researchers in both machine learning and clinical neuroscience as well as tech-savvy clinicians to address two main challenges: 1) development of methodological approaches for analyzing complex and heterogeneous neuroimaging data (machine learning track); and 2) filling the translational gap in applying existing machine learning methods in clinical practices (clinical neuroimaging track).The papers are categorzied into topical sub-headings on Machine Learning and Clinical Applications.
Machine Learning in Clinical Neuroimaging: 5th International Workshop, MLCN 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings (Lecture Notes in Computer Science #13596)
by Ahmed Abdulkadir Deepti R. Bathula Nicha C. Dvornek Mohamad Habes Seyed Mostafa Kia Vinod Kumar Thomas WolfersThis book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2022, held in Conjunction with MICCAI 2022, Singapore in September 2022. The book includes 17 papers which were carefully reviewed and selected from 23 full-length submissions.The 5th international workshop on Machine Learning in Clinical Neuroimaging (MLCN2022) aims to bring together the top researchers in both machine learning and clinical neuroscience as well as tech-savvy clinicians to address two main challenges: 1) development of methodological approaches for analyzing complex and heterogeneous neuroimaging data (machine learning track); and 2) filling the translational gap in applying existing machine learning methods in clinical practices (clinical neuroimaging track).The papers are categorzied into topical sub-headings: Morphometry; Diagnostics, and Aging, and Neurodegeneration.
Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology: Third International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020, Proceedings (Lecture Notes in Computer Science #12449)
by Seyed Mostafa Kia Hassan Mohy-ud-Din Ahmed Abdulkadir Cher Bass Mohamad Habes Jane Maryam Rondina Chantal Tax Hongzhi Wang Thomas Wolfers Saima Rathore Madhura IngalhalikarThis book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2020, and the Second International Workshop on Radiogenomics in Neuro-oncology, RNO-AI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020.*For MLCN 2020, 18 papers out of 28 submissions were accepted for publication. The accepted papers present novel contributions in both developing new machine learning methods and applications of existing methods to solve challenging problems in clinical neuroimaging. For RNO-AI 2020, all 8 submissions were accepted for publication. They focus on addressing the problems of applying machine learning to large and multi-site clinical neuroimaging datasets. The workshop aimed to bring together experts in both machine learning and clinical neuroimaging to discuss and hopefully bridge the existing challenges of applied machine learning in clinical neuroscience. *The workshops were held virtually due to the COVID-19 pandemic.
Machine Learning in Medical Imaging: 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, Part I (Lecture Notes in Computer Science #14348)
by Xiaohuan Cao Xuanang Xu Islem Rekik Zhiming Cui Xi OuyangThe two-volume set LNCS 14348 and 14139 constitutes the proceedings of the 14th International Workshop on Machine Learning in Medical Imaging, MLMI 2023, held in conjunction with MICCAI 2023, in Vancouver, Canada, in October 2023. The 93 full papers presented in the proceedings were carefully reviewed and selected from 139 submissions. They focus on major trends and challenges in artificial intelligence and machine learning in the medical imaging field, translating medical imaging research into clinical practice. Topics of interests included deep learning, generative adversarial learning, ensemble learning, transfer learning, multi-task learning, manifold learning, reinforcement learning, along with their applications to medical image analysis, computer-aided diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc.
Machine Learning in Medical Imaging: 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings (Lecture Notes in Computer Science #10019)
by Li Wang, Ehsan Adeli, Qian Wang, Yinghuan Shi and Heung-Il SukThis book constitutes the refereed proceedings of the 7th International Workshop on Machine Learning in Medical Imaging, MLMI 2016, held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016. The 38 full papers presented in this volume were carefully reviewed and selected from 60 submissions. The main aim of this workshop is to help advance scientific research within the broad field of machine learning in medical imaging. The workshop focuses on major trends and challenges in this area, and presents works aimed to identify new cutting-edge techniques and their use in medical imaging.
Machine Learning in Medical Imaging: 13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings (Lecture Notes in Computer Science #13583)
by Chunfeng Lian Xiaohuan Cao Islem Rekik Xuanang Xu Zhiming CuiThis book constitutes the proceedings of the 13th International Workshop on Machine Learning in Medical Imaging, MLMI 2022, held in conjunction with MICCAI 2022, in Singapore, in September 2022. The 48 full papers presented in this volume were carefully reviewed and selected from 64 submissions. They focus on major trends and challenges in the above-mentioned area, aiming to identify new-cutting-edge techniques and their uses in medical imaging. Topics dealt with are: deep learning, generative adversarial learning, ensemble learning, sparse learning, multi-task learning, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection and diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc.
Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings (Lecture Notes in Computer Science #12436)
by Mingxia Liu Pingkun Yan Chunfeng Lian Xiaohuan CaoThis book constitutes the proceedings of the 11th International Workshop on Machine Learning in Medical Imaging, MLMI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 68 papers presented in this volume were carefully reviewed and selected from 101 submissions. They focus on major trends and challenges in the above-mentioned area, aiming to identify new-cutting-edge techniques and their uses in medical imaging. Topics dealt with are: deep learning, generative adversarial learning, ensemble learning, sparse learning, multi-task learning, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection and diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc.
Machine Learning in Medical Imaging: 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings (Lecture Notes in Computer Science #10541)
by Qian Wang, Yinghuan Shi, Heung-Il Suk and Kenji SuzukiThis book constitutes the refereed proceedings of the 8th International Workshop on Machine Learning in Medical Imaging, MLMI 2017, held in conjunction with MICCAI 2017, in Quebec City, QC, Canada, in September 2017. The 44 full papers presented in this volume were carefully reviewed and selected from 63 submissions. The main aim of this workshop is to help advance scientific research within the broad field of machine learning in medical imaging. The workshop focuses on major trends and challenges in this area, and presents works aimed to identify new cutting-edge techniques and their use in medical imaging.
Machine Learning in Medical Imaging: 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings (Lecture Notes in Computer Science #12966)
by Islem Rekik Pingkun Yan Chunfeng Lian Xiaohuan Cao Xuanang XuThis book constitutes the proceedings of the 12th International Workshop on Machine Learning in Medical Imaging, MLMI 2021, held in conjunction with MICCAI 2021, in Strasbourg, France, in September 2021.*The 71 papers presented in this volume were carefully reviewed and selected from 92 submissions. They focus on major trends and challenges in the above-mentioned area, aiming to identify new-cutting-edge techniques and their uses in medical imaging. Topics dealt with are: deep learning, generative adversarial learning, ensemble learning, sparse learning, multi-task learning, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection and diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc. *The workshop was held virtually.
Machine Learning in Medical Imaging: 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings (Lecture Notes in Computer Science #11046)
by Yinghuan Shi Heung-Il Suk Mingxia LiuThis book constitutes the proceedings of the 9th International Workshop on Machine Learning in Medical Imaging, MLMI 2018, held in conjunction with MICCAI 2018 in Granada, Spain, in September 2018.The 45 papers presented in this volume were carefully reviewed and selected from 82 submissions. They focus on major trends and challenges in the area of machine learning in medical imaging and aim to identify new cutting-edge techniques and their use in medical imaging.
Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings (Lecture Notes in Computer Science #11861)
by Heung-Il Suk Mingxia Liu Pingkun Yan Chunfeng LianThis book constitutes the proceedings of the 10th International Workshop on Machine Learning in Medical Imaging, MLMI 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. The 78 papers presented in this volume were carefully reviewed and selected from 158 submissions. They focus on major trends and challenges in the area, aiming to identify new-cutting-edge techniques and their uses in medical imaging. Topics dealt with are: deep learning, generative adversarial learning, ensemble learning, sparse learning, multi-task learning, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection and diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc.
Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video (Springer Theses)
by Olga IsupovaThis thesis proposes machine learning methods for understanding scenes via behaviour analysis and online anomaly detection in video. The book introduces novel Bayesian topic models for detection of events that are different from typical activities and a novel framework for change point detection for identifying sudden behavioural changes.Behaviour analysis and anomaly detection are key components of intelligent vision systems. Anomaly detection can be considered from two perspectives: abnormal events can be defined as those that violate typical activities or as a sudden change in behaviour. Topic modelling and change-point detection methodologies, respectively, are employed to achieve these objectives.The thesis starts with the development of learning algorithms for a dynamic topic model, which extract topics that represent typical activities of a scene. These typical activities are used in a normality measure in anomaly detection decision-making. The book also proposes a novel anomaly localisation procedure. In the first topic model presented, a number of topics should be specified in advance. A novel dynamic nonparametric hierarchical Dirichlet process topic model is then developed where the number of topics is determined from data. Batch and online inference algorithms are developed.The latter part of the thesis considers behaviour analysis and anomaly detection within the change-point detection methodology. A novel general framework for change-point detection is introduced. Gaussian process time series data is considered. Statistical hypothesis tests are proposed for both offline and online data processing and multiple change point detection are proposed and theoretical properties of the tests are derived. The thesis is accompanied by open-source toolboxes that can be used by researchers and engineers.
Machine Learning with R Cookbook
by Yu-Wei ChiuIf you want to learn how to use R for machine learning and gain insights from your data, then this book is ideal for you. Regardless of your level of experience, this book covers the basics of applying R to machine learning through to advanced techniques. While it is helpful if you are familiar with basic programming or machine learning concepts, you do not require prior experience to benefit from this book.
Machine Magic: Get the Most from the Decorative Stitches on Your Sewing Machine; 22 Fun Flowers to Sew
by Deborah LouieBlossom into a decorative quilt artist Take advantage of everything your sewing machine has to offer! Decorative quilt artist Deborah Louie teaches how to use the stitch options on your machine and incorporate them into gorgeous appliqué pieces. Follow her step-by-step process of building and adding decorative stitches to individual flowers, then applying them to the background with free-motion decorative stitching. Also, learn how to combine stitches and adjust stitch widths and lengths to create your unique stitch garden. Gain confidence in using your machine while also creating bright and bold floral creations! Make the most of your sewing machine and learn to use decorative stitching Step-by-step instructions for building and applying decorative stitches to individual flowers, leaves, and clamshells Includes 4 projects and patterns for 22 flowers plus leaves and clamshells that can be combined for an endless variety of artwork in bloom
Machine Vision and Augmented Intelligence—Theory and Applications: Select Proceedings of MAI 2021 (Lecture Notes in Electrical Engineering #796)
by Manish Kumar Bajpai Koushlendra Kumar Singh George GiakosThis book comprises the proceedings of the International Conference on Machine Vision and Augmented Intelligence (MAI 2021) held at IIIT, Jabalpur, in February 2021. The conference proceedings encapsulate the best deliberations held during the conference. The diversity of participants in the event from academia, industry, and research reflects in the articles appearing in the volume. The book theme encompasses all industrial and non-industrial applications in which a combination of hardware and software provides operational guidance to devices in the execution of their functions based on the capture and processing of images. This book covers a wide range of topics such as modeling of disease transformation, epidemic forecast, COVID-19, image processing and computer vision, augmented intelligence, soft computing, deep learning, image reconstruction, artificial intelligence in healthcare, brain-computer interface, cybersecurity, and social network analysis, natural language processing, etc.
Machine Vision Beyond Visible Spectrum
by Riad Hammoud Katsushi Ikeuchi Robert W. Mcmillan Guoliang FanThe material of this book encompasses many disciplines, including visible, infrared, far infrared, millimeter wave, microwave, radar, synthetic aperture radar, and electro-optical sensors as well as the very dynamic topics of image processing, computer vision and pattern recognition. This book is composed of six parts: * Advanced background modeling for surveillance * Advances in Tracking in Infrared imagery * Methods for Pose estimation in Ultrasound and LWIR imagery * Recognition in multi-spectral and synthetic aperture radar * Fusion of disparate sensors * Smart Sensors
Machine Vision Handbook
by Bruce G. BatchelorThe automation of visual inspection is becoming more and more important in modern industry as a consistent, reliable means of judging the quality of raw materials and manufactured goods . The Machine Vision Handbook equips the reader with the practical details required to engineer integrated mechanical-optical-electronic-software systems. Machine vision is first set in the context of basic information on light, natural vision, colour sensing and optics. The physical apparatus required for mechanized image capture - lenses, cameras, scanners and light sources - are discussed followed by detailed treatment of various image-processing methods including an introduction to the QT image processing system. QT is unique to this book, and provides an example of a practical machine vision system along with extensive libraries of useful commands, functions and images which can be implemented by the reader. The main text of the book is completed by studies of a wide variety of applications of machine vision in inspecting and handling different types of object.
Macho Men in South African Gyms: The Idealization of Spornosexuality (Palgrave Studies in Masculinity, Sport and Exercise)
by Jacques RothmannThis book explores the experiences of self-identified heterosexual and gay men in contemporary South African gym contexts, particularly as it relates to how the intersection of spornosexual and inclusive masculinities inform their views and enactment of their masculine and sexual identities. Chapters engage with findings from an in-depth qualitative sociological exploration on issues surrounding these masculinities among men living in South Africa who engage in gym work. The author demonstrates that men, when given the opportunity to reflect on their own and the masculinity of others, acknowledge how they promote softer, kinder, disciplined, playful, and sexually agentic masculinities through their look and touch.
The Maciste Films of Italian Silent Cinema
by Jacqueline ReichItalian film star Bartolomeo Pagano's "Maciste" played a key role in his nation's narratives of identity during World War I and after. Jacqueline Reich traces the racial, class, and national transformations undergone by this Italian strongman from African slave in Cabiria (1914), his first film, to bourgeois gentleman, to Alpine soldier of the Great War, to colonial officer in Italy's African adventures. Reich reveals Maciste as a figure who both reflected classical ideals of masculine beauty and virility (later taken up by Mussolini and used for political purposes) and embodied the model Italian citizen. The 12 films at the center of the book, recently restored and newly accessible to a wider public, together with relevant extra-cinematic materials, provide a rich resource for understanding the spread of discourses on masculinity, and national and racial identities during a turbulent period in Italian history. The volume includes an illustrated appendix documenting the restoration and preservation of these cinematic treasures.
Mackinac Bridge
by Mike FornesOn November 1, 1957, traffic officially opened on the Mackinac Bridge. That was the culmination of 70 years of talking and dreaming about a bridge acrossthe Straits of Mackinac, of discouraging attempts for legislative and congressional approval, of efforts to raise the funds, and finally of a three-year construction program necessary for the world's longest and costliest (to date) suspension bridge.Michigan's greatest symbol is expertly maintained, fully funded, and amazingly resilient to the many forces and factors of man and nature that have failed to seriously affect its status as the lone highway link between Michigan's two main peninsulas. The "miracle bridge" at the Straits of Mackinac truly allows a view that epitomizes the state motto of Michigan, Si quaeris peninsulam amoenam, circumspice, or "If you seek a pleasant peninsula, look about you."
Mackinaw City
by Madeline Okerman AdieRich in history, magnificent in scenery, and abundant in hospitality, Mackinaw City lies at the very tip of Michigan's Lower Peninsula and is the area's own majestic playground. From early Native American settlements, French explorers, and fur traders to Mackinaw City founding father Edgar Conkling's vision to build a business center upon the south shore of the Mackinac Straits, Mackinaw City does not disappoint anyone who visits it. Due to its strategic location on the crossroads of the Great Lakes, this area has always been a gathering place for early inhabitants. When the railroad arrived in the late 1800s, it provided needed transportation with unique railroad and car ferries to and from Michigan's Upper Peninsula. Today Mackinaw City still enjoys the distinction of being one of the most popular historical resort areas in Michigan. Through the insight of talented individualswho had the foresight to capture history with the interesting and colorful medium of the postcard, one is able to learn and smile at Mackinaw days gone by.
Macon
by Glenda Barnes BozemanKnown as the "Heart of Georgia," Macon was an affluent city by the time of the Civil War and escaped the destruction that accompanied Sherman's march to the sea. During Macon's prosperous Victorian period, opulent residences and ornate public buildings were constructed; these, along with those of the antebellum period, have been preserved. Author Glenda Barnes Bozeman resides in nearby Gray, Georgia. Originally from history-rich Pensacola, Florida, and as a Florida Pioneer Descendant, Glenda's love for history and historic places inspired the research that led to Then & Now: Macon.
Macon County
by Dan GuilloryMacon County occupies nearly 600 square miles of fertile farmland in the geographic center of Illinois. Abraham Lincoln made his first Illinois home here, on a pleasant bluff overlooking the Sangamon River, near presentday Harristown. On May 10, 1860, he was first nominated for the presidency in Decatur, the county seat. During the World War I era, Macon County boasted over a dozen hamlets and villages, including Warrensburg and Maroa, which both enjoyed opera houses and busy train stations. Maroa was home to John Crocker, who became a famous banker, while nearby Forsyth produced Black Bart, the infamous bank robber. After World War II, Decatur became known as the "soybean capital of the world." And today, agricultural and industrial workers depend on one another, growing and processing the corn and soybeans that have made Macon County a self-sustaining economic engine.
Macon, Georgia (Black America Series)
by Jeanne Herring Ed.S.In this engaging new visual history showcasing Macon's African Americans, vintage photographs illuminate the contributions and achievements of black citizens who have lived and worked in the heart of Georgia for more than one hundred and fifty years. Local landmarks, such as the Douglass Theater and the Harriet Tubman Museum, and unique African-American communities, such as Summerfield and Pleasant Hill, are testament to the indelible mark left on Macon by its enterprising black residents.
Macramé: The Power of Knots
by Nghi HoLearn and Master the Art of Macramé“A wonderful resource for beginning and advanced macramé artists.” ―Elizabeth Majka, Library Journal#1 New Release in Ribbons, Knots, Macrame & Rope WorkLearn the art of macramé and craft beautiful and practical creations such as wall hangings, plant hangers, jewelry, and much more.Develop a new creative hobby or just improve your macramé skills. New to macramé or an accomplished macramé artist? Either way, with the expert guidance of author Nghi Ho, online macramé community star and founder of Miss Knottie Macramé supplies, you’ll discover new macramé patterns and projects and a whole world of enjoyment and satisfaction.Relax with macramé DIY crafts. Having a stressful day? Unwind with a macramé project that can be both gratifying and fun. If you are new to macramé, Nghi Ho will show you how to get started, explain the basic materials you’ll need, and give you a good grounding in macramé knots.Inside find:Tutorials on starting your own macramé projects, macrame kits, and basic knotsCrafts to do at home and fun activities for the whole familyMacramé projects that are unique and personalizedIf you have read books like Macramè For Beginners, Statement Macramé, or Modern Embroidery, you’ll love Nghi Ho’s Macramè: The Power of Knots.