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Christian Wachinger
Christian Wachinger
MIT, Harvard medical school
Geverifieerd e-mailadres voor csail.mit.edu - Homepage
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Concurrent spatial and channel ‘squeeze & excitation’in fully convolutional networks
AG Roy, N Navab, C Wachinger
International Conference on Medical Image Computing and Computer-Assisted …, 2018
4332018
ReLayNet: retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks
AG Roy, S Conjeti, SPK Karri, D Sheet, A Katouzian, C Wachinger, ...
Biomedical optics express 8 (8), 3627-3642, 2017
3732017
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy
C Wachinger, M Reuter, T Klein
NeuroImage, 2017
2932017
Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge
EE Bron, M Smits, WM van der Flier, H Vrenken, F Barkhof, P Scheltens, ...
NeuroImage 111, 562-579, 2015
2802015
Recalibrating Fully Convolutional Networks With Spatial and Channel “Squeeze and Excitation” Blocks
AG Roy, N Navab, C Wachinger
IEEE transactions on medical imaging 38 (2), 540-549, 2018
1762018
Entropy and Laplacian images: Structural representations for multi-modal registration
C Wachinger, N Navab
Medical Image Analysis 16 (1), 1-17, 2012
1622012
QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy
AG Roy, S Conjeti, N Navab, C Wachinger, ...
NeuroImage 186, 713-727, 2019
1382019
QuickNAT: A Fully Convolutional Network for Quick and Accurate Segmentation of Neuroanatomy
A Guha Roy, S Conjeti, N Navab, C Wachinger
arXiv preprint arXiv:1801.04161, 2018
138*2018
QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy
A Guha Roy, S Conjeti, N Navab, C Wachinger
arXiv preprint arXiv:1801.04161, 2018
138*2018
BrainPrint: A discriminative characterization of brain morphology
C Wachinger, P Golland, W Kremen, B Fischl, M Reuter
NeuroImage 109, 232-248, 2015
1222015
Whole-brain analysis reveals increased neuroanatomical asymmetries in dementia for hippocampus and amygdala
C Wachinger, DH Salat, M Weiner, M Reuter
Brain 139 (12), 3253-3266, 2016
1022016
Manifold learning for image-based breathing gating in ultrasound and MRI
C Wachinger, M Yigitsoy, EJ Rijkhorst, N Navab
Medical Image Analysis 16 (4), 806-818, 2012
982012
BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning
AG Roy, S Siddiqui, S Pölsterl, N Navab, C Wachinger
arXiv preprint arXiv:1905.06731, 2019
952019
Blockface histology with optical coherence tomography: A comparison with Nissl staining
C Magnain, JC Augustinack, M Reuter, C Wachinger, MP Frosch, ...
NeuroImage 84, 524-533, 2014
912014
Domain adaptation for Alzheimer's disease diagnostics
C Wachinger, M Reuter, Alzheimer's Disease Neuroimaging Initiative
Neuroimage 139, 470-479, 2016
882016
Three-dimensional ultrasound mosaicing
C Wachinger, W Wein, N Navab
International Conference on Medical Image Computing and Computer-Assisted …, 2007
762007
Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data
AG Roy, S Conjeti, D Sheet, A Katouzian, N Navab, C Wachinger
International Conference on Medical Image Computing and Computer-Assisted …, 2017
752017
‘Squeeze & excite’guided few-shot segmentation of volumetric images
AG Roy, S Siddiqui, S Pölsterl, N Navab, C Wachinger
Medical image analysis 59, 101587, 2020
692020
'Squeeze & Excite'Guided Few-Shot Segmentation of Volumetric Images
A Guha Roy, S Siddiqui, S Pölsterl, N Navab, C Wachinger
arXiv preprint arXiv:1902.01314, 2019
69*2019
Bayesian QuickNAT: Model uncertainty in deep whole-brain segmentation for structure-wise quality control
AG Roy, S Conjeti, N Navab, C Wachinger, ...
NeuroImage 195, 11-22, 2019
642019
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Artikelen 1–20