LEADER 05457nam 22007575 450 001 996418311703316 005 20200701035534.0 010 $a3-030-50120-5 024 7 $a10.1007/978-3-030-50120-4 035 $a(CKB)5280000000218477 035 $a(MiAaPQ)EBC6302358 035 $a(DE-He213)978-3-030-50120-4 035 $a(PPN)248595210 035 $a(EXLCZ)995280000000218477 100 $a20200604d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBiomedical Image Registration$b[electronic resource] $e9th International Workshop, WBIR 2020, Portoro?, Slovenia, December 1?2, 2020, Proceedings /$fedited by ?iga ?piclin, Jamie McClelland, Jan Kybic, Orcun Goksel 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (x, 176 pages) $cillustrations 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v12120 311 $a3-030-50119-1 320 $aIncludes bibliographical references and index. 327 $aRegistration Initialization and Acceleration -- Nonlinear Alignment of Whole Tractograms with the Linear Assignment Problem -- Learning-based Affine Registration of Histological Images -- Enabling Manual Intervention for Otherwise Automated Registration of Large Image Series -- Towards Segmentation and Spatial Alignment of the Human Embryonic Brain using Deep Learning for Atlas-based Registration -- Learning Deformable Image Registration with Structure Guidance Constraints for Adaptive Radiotherapy -- Interventional Registration -- Multilevel 2D-3D Intensity-based Image Registration -- Towards Automated Spine Mobility Quantification: a Locally Rigid CT to X-ray Registration Framework -- Landmark based Registration -- Reinforced Redetection of Landmark in Pre- and Post-Operative Brain Scan using Anatomical Guidance for Image Alignment -- Deep Volumetric Feature Encoding for Biomedical Images -- Multi-Channel Registration -- Multi-Channel Image Registration of Cardiac MR Using Supervised Feature Learning with Convolutional Encoder-Decoder Network -- Multi-Channel Registration for Diffusion MRI: Longitudinal Analysis for the Neonatal Brain -- An Image Registration-based Method for EPI Distortion Correction based on Opposite Phase Encoding (COPE) -- Diffusion Tensor driven Image registration: a Deep Learning Approach -- Multimodal MRI Template Creation in the Ring-Tailed Lemur and Rhesus Macaque -- Sliding Motion -- An Unsupervised Learning Approach to Discontinuity-preserving Image Registration -- An Image Registration Framework for Discontinuous Mappings along Cracks. 330 $aThis book constitutes the refereed proceedings of the 9th International Workshop on Biomedical Image Registration, WBIR 2020, which was supposed to be held in Portoro?, Slovenia, in June 2020. The conference was postponed until December 2020 due to the COVID-19 pandemic. The 16 full and poster papers included in this volume were carefully reviewed and selected from 22 submitted papers. The papers are organized in the following topical sections: Registration initialization and acceleration, interventional registration, landmark based registration, multi-channel registration, and sliding motion. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v12120 606 $aOptical data processing 606 $aArtificial intelligence 606 $aPattern recognition 606 $aApplication software 606 $aComputer organization 606 $aComputers 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aComputer Applications$3https://scigraph.springernature.com/ontologies/product-market-codes/I23001 606 $aComputer Systems Organization and Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13006 606 $aComputing Milieux$3https://scigraph.springernature.com/ontologies/product-market-codes/I24008 615 0$aOptical data processing. 615 0$aArtificial intelligence. 615 0$aPattern recognition. 615 0$aApplication software. 615 0$aComputer organization. 615 0$aComputers. 615 14$aImage Processing and Computer Vision. 615 24$aArtificial Intelligence. 615 24$aPattern Recognition. 615 24$aComputer Applications. 615 24$aComputer Systems Organization and Communication Networks. 615 24$aComputing Milieux. 676 $a616.0754 702 $a?piclin$b ?iga$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMcClelland$b Jamie$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKybic$b Jan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGoksel$b Orcun$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996418311703316 996 $aBiomedical Image Registration$9774299 997 $aUNISA LEADER 03322nam 22006255 450 001 9910488722703321 005 20251230064037.0 010 $a981-16-1045-2 024 7 $a10.1007/978-981-16-1045-5 035 $a(CKB)5590000000516525 035 $a(MiAaPQ)EBC6676357 035 $a(Au-PeEL)EBL6676357 035 $a(OCoLC)1258660084 035 $a(PPN)258062339 035 $a(DE-He213)978-981-16-1045-5 035 $a(EXLCZ)995590000000516525 100 $a20210625d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProceedings of the First International Workshop on Intelligent Software Automation $eISEA 2020 /$fedited by Sajid Anwar, Abdul Rauf 205 $a1st ed. 2021. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2021. 215 $a1 online resource (72 pages) $cillustrations (some color) 225 1 $aAdvances in Intelligent Systems and Computing,$x2194-5365 ;$v1347 311 1 $a981-16-1044-4 327 $aChapter 1. A Three-way decision-making approach for Customer Churn prediction using Game-Theoretic Rough sets -- Chapter 2. QAExtractor: A Quality Attributes Extraction Framework in Agile-based Software Development -- Chapter 3. Automated Classification of Mobile App Reviews considering User?s Quality Concerns -- Chapter 4. Cost and Makespan-Centric Task Scheduling in a Heterogeneous Cloud Computing Environment using Whale Optimization Algorithm (WOA) -- Chapter 5. Analyzing GoLang Projects' Architecture using Code Metrics and Code Smell. 330 $aThis book is a collection of research papers presented at the International Workshop on Intelligent Software Engineering Automation (ISEA 2020) in the 27th Asia-Pacific Software Engineering Conference (APSEC 2020), during 1?4 December 2020 in Singapore. The book discusses automated tools and techniques which are required to reflect over business knowledge to identify what is missing or could be effectively changed while producing and evolving. The book presents works from international researchers and practitioners in the fields of intelligent software engineering/automated software engineering to discuss applications, experiences, and emerging advanced techniques. 410 0$aAdvances in Intelligent Systems and Computing,$x2194-5365 ;$v1347 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aAutomation 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aAutomation 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aAutomation. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aAutomation. 676 $a629.892 702 $aAnwar$b Sajid 702 $aRauf$b Abdul 712 12$aInternational Workshop on Intelligent Software Engineering Automation. 712 12$aAsia-Pacific Software Engineering Conference. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910488722703321 996 $aProceedings of the first international workshop on intelligent software automation$92818146 997 $aUNINA