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1. Handbook of medical image processing and analysis
by Bankman, I. N. (Isaac N.)
2009, 2nd ed., Academic Press series in biomedical engineering, ISBN 9780123739049, xxiv, 984 p., [64] p. of col. plates
Biomedical Engineering | Image Processing, Computer-Assisted | Digital techniques | methods | Imaging systems in medicine | Image Interpretation, Computer-Assisted | Diagnostic imaging | Handbooks, manuals, etc
Book
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2. Digital mammography
: a practical approach
by Whitman, Gary J and Haygood, Tamara Milner
2012, ISBN 9780521763721, cm.
Radiography | Breast | Diagnosis | Imaging | Cancer | Radiography, Medical
Book
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3. Full Text Medical Image Computing and Computer Assisted Intervention - MICCAI 2019
: 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part II
by Shen, Dinggang and Liu, Tianming and Peters, Terry M and Staib, Lawrence H and Essert, Caroline and Zhou, Sean and Yap, Pew-Thian and Khan, Ali
2019, ISBN 9783030322441, 907
eBook
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4. Full Text Handbook of medical imaging
: processing and analysis
by Bankman, I. N. (Isaac N.)
2000, Academic Press series in biomedical engineering, ISBN 0120777908, 895
Diagnostic imaging | Imaging systems in medicine | Image processing
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5. Full Text Machine Learning and Medical Imaging
by Wu, Guorong and Shen, Dinggang and Sabuncu, Mert
2016, ISBN 9780128040768, 514
Digital techniques | Diagnostic imaging | Imaging systems in medicine | Machine learning | Computer science | Medical applications | Artificial intelligence | Medical informatics
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6. Full Text Variability of textural features in FDG PET images due to different acquisition modes and reconstruction parameters
by Galavis, Paulina E and Hollensen, Christian and Jallow, Ngoneh and Paliwal, Bhudatt and Jeraj, Robert
Acta oncologica, ISSN 0284-186X, 10/2010, Volume 49, Issue 7, pp. 1012 - 1016
Image Processing, Computer-Assisted - statistics & numerical data | Image Processing, Computer-Assisted - standards | Humans | Image Interpretation, Computer-Assisted - methods | Image Processing, Computer-Assisted - methods | Positron-Emission Tomography - methods | Tomography, Emission-Computed - methods | Neoplasms - diagnostic imaging | Positron-Emission Tomography - standards | Fluorodeoxyglucose F18 | Image Interpretation, Computer-Assisted - standards | Retrospective Studies | Diagnostic Errors - statistics & numerical data | Observer Variation | Index Medicus
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7. Full Text BEaST: Brain extraction based on nonlocal segmentation technique
by Eskildsen, Simon F and Coupé, Pierrick and Fonov, Vladimir and Manjón, José V and Leung, Kelvin K and Guizard, Nicolas and Wassef, Shafik N and Østergaard, Lasse Riis and Collins, D. Louis and The Alzheimer's Disease Neuroimaging Initiative and Alzheimer's Dis Neuroimaging and Alzheimer's Disease Neuroimaging Initiative
NeuroImage (Orlando, Fla.), ISSN 1053-8119, 02/2012, Volume 59, Issue 3, pp. 2362 - 2373
BET | Patch-based segmentation | Multi-resolution | Skull stripping | MRI | Brain extraction | Neuroimaging | Neurosciences | Neurosciences & Neurology | Life Sciences & Biomedicine | Radiology, Nuclear Medicine & Medical Imaging | Science & Technology | Computers | Image Processing, Computer-Assisted - statistics & numerical data | Reproducibility of Results | Brain - anatomy & histology | Humans | False Negative Reactions | Magnetic Resonance Imaging - methods | Male | Brain Mapping - methods | Image Processing, Computer-Assisted - methods | False Positive Reactions | Young Adult | Reference Standards | Algorithms | Magnetic Resonance Imaging - statistics & numerical data | Adolescent | Adult | Female | Software | Databases, Factual | Quality Control | Methods | Studies | Medical research | Medical imaging | Registration | Pharmaceutical industry | Alzheimers disease | Academic libraries | Index Medicus | Bioengineering | Brain | Neurons and Cognition | Medical Imaging | Machine Learning | Life Sciences | Computer Science | Applications | Statistics | Magnetic Resonance Imaging | Signal and Image Processing | Image Processing, Computer-Assisted | Brain Mapping | Engineering Sciences
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8. Full Text Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging
: MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers
by Müller, Henning and Kelm, B. Michael and Arbel, Tal and Cai, Weidong and Cardoso, M. Jorge and Langs, Georg and Menze, Bjoern and Metaxas, Dimitris and Montillo, Albert and Wells III, William M
2017, ISBN 9783319611877, 227
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9. Full Text Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank
by Alfaro-Almagro, Fidel and Jenkinson, Mark and Bangerter, Neal K and Andersson, Jesper L.R and Griffanti, Ludovica and Douaud, Gwenaëlle and Sotiropoulos, Stamatios N and Jbabdi, Saad and Hernandez-Fernandez, Moises and Vallee, Emmanuel and Vidaurre, Diego and Webster, Matthew and McCarthy, Paul and Rorden, Christopher and Daducci, Alessandro and Alexander, Daniel C and Zhang, Hui and Dragonu, Iulius and Matthews, Paul M and Miller, Karla L and Smith, Stephen M
NeuroImage (Orlando, Fla.), ISSN 1053-8119, 02/2018, Volume 166, pp. 400 - 424
Epidemiological studies | Big data imaging | Image analysis pipeline | Multi-modal data integration | Quality control | Machine learning | Neuroimaging | Neurosciences | Neurosciences & Neurology | Life Sciences & Biomedicine | Radiology, Nuclear Medicine & Medical Imaging | Science & Technology | Neuroimaging - methods | Brain - diagnostic imaging | Databases, Factual - standards | Image Processing, Computer-Assisted - standards | Humans | Datasets as Topic - standards | Machine Learning - standards | Magnetic Resonance Imaging - methods | United Kingdom | Image Processing, Computer-Assisted - methods | Magnetic Resonance Imaging - standards | Neuroimaging - standards | Quality Control | Computer science | Medical colleges | Diagnostic imaging | Epidemiology | Automation | Nuclear magnetic resonance--NMR | Medical imaging | Image processing | Brain mapping | Datasets | Studies | Brain research | Researchers | Functional magnetic resonance imaging | Biomarkers | Software | Bone imaging | Alzheimers disease | Ultrasound | Index Medicus
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10. Full Text Setting Standards for Reporting and Quantification in Fluorescence-Guided Surgery
by Hoogstins, Charlotte and Hoogstins, Charlotte and Burggraaf, Jan Jaap and Burggraaf, Jan Jaap and Koller, Marjory and Koller, Marjory and Handgraaf, Henricus and Handgraaf, Henricus and Boogerd, Leonora and Boogerd, Leonora and van Dam, Gooitzen and van Dam, Gooitzen and Vahrmeijer, Alexander and Vahrmeijer, Alexander and Burggraaf, Jacobus and Burggraaf, Jacobus
Molecular imaging and biology, ISSN 1536-1632, 2/2019, Volume 21, Issue 1, pp. 11 - 18
Image analysis | Medicine & Public Health | Quantification | Fluorescence | Signal-to-noise ratio | Phantom | Optical imaging | Imaging / Radiology | Life Sciences & Biomedicine | Radiology, Nuclear Medicine & Medical Imaging | Science & Technology | Monitoring, Intraoperative - standards | Image Processing, Computer-Assisted - standards | Neoplasms - surgery | Humans | Optical Imaging - standards | Neoplasms - diagnosis | Optical Imaging - instrumentation | Reference Standards | Sensitivity and Specificity | Image Processing, Computer-Assisted - instrumentation | Monitoring, Intraoperative - methods | Optical Imaging - methods | Risk Assessment - standards | Reproducibility of Results | Monitoring, Intraoperative - instrumentation | Signal-To-Noise Ratio | Surgery, Computer-Assisted - instrumentation | Surgery, Computer-Assisted - methods | Calibration | Image Processing, Computer-Assisted - methods | Surgery, Computer-Assisted - standards | Animals | Research Design - standards | Neoplasms - pathology | Practice Guidelines as Topic | Surgery | Medical personnel | Medical research | Sensitivity analysis | Image processing | Performance assessment | Clinical trials | Background noise | Standards | Image acquisition | Reagents
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11. Full Text Computer assisted semen analyzers in andrology research and veterinary practice
by Verstegen, J and Iguer-Ouada, M and Onclin, K
Theriogenology, ISSN 0093-691X, 2002, Volume 57, Issue 1, pp. 149 - 179
veterinary practice | clinical applications | computer-assisted sperm analysis (CASA) | research | Research | Veterinary practice | Clinical applications | Computer-assisted sperm analysis (CASA) | Sperm Motility | Image Processing, Computer-Assisted - standards | Infertility, Male - veterinary | Male | Veterinary Medicine | Image Processing, Computer-Assisted - methods | Sperm Count - veterinary | Fertility - physiology | Semen - cytology | Animals | Sensitivity and Specificity | Spermatozoa - physiology | Spermatozoa - classification | Infertility, Male - diagnosis | Quality Control | Index Medicus
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