nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
Advances and challenges in deformable image registration: From image fusion to complex motion modelling
|
Schnabel, Julia A. |
|
2016 |
33 |
C |
p. 145-148 4 p. |
artikel |
2 |
A survey of medical image registration – under review
|
Viergever, Max A. |
|
2016 |
33 |
C |
p. 140-144 5 p. |
artikel |
3 |
Cardiac image modelling: Breadth and depth in heart disease
|
Suinesiaputra, Avan |
|
2016 |
33 |
C |
p. 38-43 6 p. |
artikel |
4 |
Computational brain connectivity mapping: A core health and scientific challenge
|
Deriche, Rachid |
|
2016 |
33 |
C |
p. 122-126 5 p. |
artikel |
5 |
Computational neuroanatomy using brain deformations: From brain parcellation to multivariate pattern analysis and machine learning
|
Davatzikos, Christos |
|
2016 |
33 |
C |
p. 149-154 6 p. |
artikel |
6 |
Computer Aided Orthopaedic Surgery: Incremental shift or paradigm change?
|
Joskowicz, Leo |
|
2016 |
33 |
C |
p. 84-90 7 p. |
artikel |
7 |
Editorial Board
|
|
|
2016 |
33 |
C |
p. IFC- 1 p. |
artikel |
8 |
Four challenges in medical image analysis from an industrial perspective
|
Weese, Jürgen |
|
2016 |
33 |
C |
p. 44-49 6 p. |
artikel |
9 |
From clinical imaging and computational models to personalised medicine and image guided interventions
|
Hawkes, David J. |
|
2016 |
33 |
C |
p. 50-55 6 p. |
artikel |
10 |
From computer-assisted intervention research to clinical impact: The need for a holistic approach
|
Ourselin, Sébastien |
|
2016 |
33 |
C |
p. 72-78 7 p. |
artikel |
11 |
From macro-scale to micro-scale computational anatomy: a perspective on the next 20 years
|
Mori, Kensaku |
|
2016 |
33 |
C |
p. 159-164 6 p. |
artikel |
12 |
(Hyper)-graphical models in biomedical image analysis
|
Paragios, Nikos |
|
2016 |
33 |
C |
p. 102-106 5 p. |
artikel |
13 |
Image analysis and machine learning in digital pathology: Challenges and opportunities
|
Madabhushi, Anant |
|
2016 |
33 |
C |
p. 170-175 6 p. |
artikel |
14 |
Image guidance in orthopaedics and traumatology: A historical perspective
|
Székely, Gabor |
|
2016 |
33 |
C |
p. 79-83 5 p. |
artikel |
15 |
Image-guided interventions and computer-integrated therapy: Quo vadis?
|
Peters, Terry M. |
|
2016 |
33 |
C |
p. 56-63 8 p. |
artikel |
16 |
Imaging biomarkers in multiple Sclerosis: From image analysis to population imaging
|
Barillot, Christian |
|
2016 |
33 |
C |
p. 134-139 6 p. |
artikel |
17 |
Increasing the impact of medical image computing using community-based open-access hackathons: The NA-MIC and 3D Slicer experience
|
Kapur, Tina |
|
2016 |
33 |
C |
p. 176-180 5 p. |
artikel |
18 |
Large-Scale medical image analytics: Recent methodologies, applications and Future directions
|
Zhang, Shaoting |
|
2016 |
33 |
C |
p. 98-101 4 p. |
artikel |
19 |
Learning clinically useful information from images: Past, present and future
|
Rueckert, Daniel |
|
2016 |
33 |
C |
p. 13-18 6 p. |
artikel |
20 |
Longitudinal modeling of appearance and shape and its potential for clinical use
|
Gerig, Guido |
|
2016 |
33 |
C |
p. 114-121 8 p. |
artikel |
21 |
Machine learning approaches in medical image analysis: From detection to diagnosis
|
de Bruijne, Marleen |
|
2016 |
33 |
C |
p. 94-97 4 p. |
artikel |
22 |
Machine learning for medical images analysis
|
Criminisi, A. |
|
2016 |
33 |
C |
p. 91-93 3 p. |
artikel |
23 |
Medical Image Analysis – past, present, and future
|
Wells III, William M. |
|
2016 |
33 |
C |
p. 4-6 3 p. |
artikel |
24 |
MR brain image analysis in dementia: From quantitative imaging biomarkers to ageing brain models and imaging genetics
|
Niessen, Wiro J. |
|
2016 |
33 |
C |
p. 107-113 7 p. |
artikel |
25 |
Oncological image analysis
|
Brady, Sir Michael |
|
2016 |
33 |
C |
p. 7-12 6 p. |
artikel |
26 |
Open-source platforms for navigated image-guided interventions
|
Ungi, Tamas |
|
2016 |
33 |
C |
p. 181-186 6 p. |
artikel |
27 |
Personalized, relevance-based Multimodal Robotic Imaging and augmented reality for Computer Assisted Interventions
|
Navab, Nassir |
|
2016 |
33 |
C |
p. 64-71 8 p. |
artikel |
28 |
Precision Imaging: more descriptive, predictive and integrative imaging
|
Frangi, Alejandro F. |
|
2016 |
33 |
C |
p. 27-32 6 p. |
artikel |
29 |
Quantitative analysis of retinal OCT
|
Sonka, Milan |
|
2016 |
33 |
C |
p. 165-169 5 p. |
artikel |
30 |
Reflections on ultrasound image analysis
|
Alison Noble, J. |
|
2016 |
33 |
C |
p. 33-37 5 p. |
artikel |
31 |
Shaping the future through innovations: From medical imaging to precision medicine
|
Comaniciu, Dorin |
|
2016 |
33 |
C |
p. 19-26 8 p. |
artikel |
32 |
Spatial normalization of brain images and beyond
|
Mangin, J.-F. |
|
2016 |
33 |
C |
p. 127-133 7 p. |
artikel |
33 |
Statistical shape analysis: From landmarks to diffeomorphisms
|
Zhang, Miaomiao |
|
2016 |
33 |
C |
p. 155-158 4 p. |
artikel |
34 |
20th anniversary of the Medical Image Analysis journal (MedIA)
|
|
|
2016 |
33 |
C |
p. 1-3 3 p. |
artikel |