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ORCIDMedical Image Analysis, Volume 33
Volume 33, October 2016
- William M. Wells III:
Medical Image Analysis - past, present, and future. 4-6 - J. Michael Brady
, Ralph Highnam, Benjamin Irving, Julia A. Schnabel:
Oncological image analysis. 7-12 - Daniel Rueckert, Ben Glocker, Bernhard Kainz:
Learning clinically useful information from images: Past, present and future. 13-18 - Dorin Comaniciu, Klaus Engel, Bogdan Georgescu, Tommaso Mansi:
Shaping the future through innovations: From medical imaging to precision medicine. 19-26 - Alejandro F. Frangi, Zeike A. Taylor, Ali Gooya:
Precision Imaging: more descriptive, predictive and integrative imaging. 27-32 - J. Alison Noble:
Reflections on ultrasound image analysis. 33-37 - Avan Suinesiaputra, Andrew D. McCulloch, Martyn P. Nash, Beau Pontre, Alistair A. Young:
Cardiac image modelling: Breadth and depth in heart disease. 38-43 - Jürgen Weese, Cristian Lorenz:
Four challenges in medical image analysis from an industrial perspective. 44-49
- David J. Hawkes:
From clinical imaging and computational models to personalised medicine and image guided interventions. 50-55 - Terry M. Peters, Cristian A. Linte:
Image-guided interventions and computer-integrated therapy: Quo vadis? 56-63 - Nassir Navab, Christoph Hennersperger, Benjamin Frisch, Bernhard Fuerst:
Personalized, relevance-based Multimodal Robotic Imaging and augmented reality for Computer Assisted Interventions. 64-71 - Sébastien Ourselin, Mark Emberton, Tom Vercauteren:
From computer-assisted intervention research to clinical impact: The need for a holistic approach. 72-78 - Gábor Székely, Lutz-Peter Nolte:
Image guidance in orthopaedics and traumatology: A historical perspective. 79-83 - Leo Joskowicz, Eric J. Hazan:
Computer Aided Orthopaedic Surgery: Incremental shift or paradigm change? 84-90
- Antonio Criminisi:
Machine learning for medical images analysis. 91-93 - Marleen de Bruijne:
Machine learning approaches in medical image analysis: From detection to diagnosis. 94-97 - Shaoting Zhang, Dimitris N. Metaxas:
Large-Scale medical image analytics: Recent methodologies, applications and Future directions. 98-101 - Nikos Paragios, Enzo Ferrante, Ben Glocker, Nikos Komodakis, Sarah Parisot, Evangelia I. Zacharaki:
(Hyper)-graphical models in biomedical image analysis. 102-106
- Wiro J. Niessen:
MR brain image analysis in dementia: From quantitative imaging biomarkers to ageing brain models and imaging genetics. 107-113 - Guido Gerig, James Fishbaugh, Neda Sadeghi:
Longitudinal modeling of appearance and shape and its potential for clinical use. 114-121 - Rachid Deriche:
Computational brain connectivity mapping: A core health and scientific challenge. 122-126 - Jean-François Mangin, Jessica Lebenberg, Sandrine Lefranc, Nicole Labra, Guillaume Auzias, M. Labit, Miguel Guevara, Hartmut Mohlberg, Pauline Roca, Pamela Guevara, Jessica Dubois, François Leroy, Ghislaine Dehaene-Lambertz, Arnaud Cachia, Timo Dickscheid, Olivier Coulon, Cyril Poupon, Denis Rivière, Katrin Amunts, Zhong Yi Sun:
Spatial normalization of brain images and beyond. 127-133 - Christian Barillot, Gilles Edan, Olivier Commowick:
Imaging biomarkers in multiple Sclerosis: From image analysis to population imaging. 134-139
- Max A. Viergever, J. B. Antoine Maintz, Stefan Klein, Keelin Murphy, Marius Staring, Josien P. W. Pluim:
A survey of medical image registration - under review. 140-144 - Julia A. Schnabel, Mattias P. Heinrich, Bartlomiej W. Papiez, J. Michael Brady:
Advances and challenges in deformable image registration: From image fusion to complex motion modelling. 145-148 - Christos Davatzikos:
Computational neuroanatomy using brain deformations: From brain parcellation to multivariate pattern analysis and machine learning. 149-154 - Miaomiao Zhang, Polina Golland:
Statistical shape analysis: From landmarks to diffeomorphisms. 155-158
- Kensaku Mori:
From macro-scale to micro-scale computational anatomy: a perspective on the next 20 years. 159-164 - Milan Sonka, Michael D. Abràmoff:
Quantitative analysis of retinal OCT. 165-169 - Anant Madabhushi, George Lee:
Image analysis and machine learning in digital pathology: Challenges and opportunities. 170-175
- Tina Kapur, Steve Pieper, Andriy Fedorov, Jean-Christophe Fillion-Robin, Michael Halle, Lauren O'Donnell, Andras Lasso, Tamas Ungi, Csaba Pinter, Julien Finet, Sonia Pujol, Jagadeesan Jayender, Junichi Tokuda, Isaiah Norton, Raúl San José Estépar, David T. Gering, Hugo J. W. L. Aerts, Marianna Jakab, Nobuhiko Hata, Luiz Ibáñez, Daniel J. Blezek, Jim Miller, Stephen R. Aylward, W. Eric L. Grimson, Gabor Fichtinger, William M. Wells III, William E. Lorensen, William J. Schroeder, Ron Kikinis:
Increasing the impact of medical image computing using community-based open-access hackathons: The NA-MIC and 3D Slicer experience. 176-180 - Tamas Ungi, Andras Lasso, Gabor Fichtinger:
Open-source platforms for navigated image-guided interventions. 181-186
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