Christian Wachinger

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Nassir NavabProfessor of Computer Science, Technische Universität MünchenVerified email at cs.tum.edu
Prof. Dr. Martin ReuterDirector AI in Medical Imaging DZNE Bonn Germany, Radiology & Neurology at Harvard Medical SchoolVerified email at mgh.harvard.edu
Tassilo KleinSAP AI ResearchVerified email at sap.com
Bruce Fischl or B FischlMass General Hospital/Harvard Medical SchoolVerified email at nmr.mgh.harvard.edu
William M. Wells III (Sandy)Harvard Medical School, M.I.T.Verified email at bwh.harvard.edu
Mehmet Yigitsoydeepc.aiVerified email at deepc.ai
Wolfgang WeinCEO, ImFusion GmbH; Adjunct Professor, TU MunichVerified email at cs.tum.edu
Caroline MagnainAssistant Professor, Martinos Center, MGH / HSMVerified email at nmr.mgh.harvard.edu
William KremenProfessor of Psychiatry, University of California, San DiegoVerified email at ucsd.edu
Ben GlockerImperial College LondonVerified email at imperial.ac.uk
David A BoasBoston UniversityVerified email at bu.edu
Nikos KomodakisAssistant Professor, Computer Science Department, University of CreteVerified email at csd.uoc.gr
Maximilian BaustSenior Manager AI Developer Technology EMEAVerified email at nvidia.com
Stefanie DemirciVDI/VDE-ITVerified email at uludag.dataprivacynow.com
Ali BigdelouBMW Group and Technical University of MunichVerified email at bmw.de
Dr. Ramtin ShamsSenior Lecturer, The Australian National UniversityVerified email at anu.edu.au
Kayhan BatmanghelichAssistant Professor, Boston UniversityVerified email at bu.edu
George H. ChenAssistant Professor, Carnegie Mellon UniversityVerified email at cmu.edu
Mehdi MoradiMcMaster UniversityVerified email at mcmaster.ca
Andrey FedorovRadiology, Brigham and Women's Hospital, Harvard Medical SchoolVerified email at bwh.harvard.edu

Christian Wachinger

MIT, Harvard medical school

Verified email at csail.mit.edu - Homepage

AI in Medical Imaging Geometric Deep Learning Causal Inference Multi-Modal Diagnostics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	688	2018
The liver tumor segmentation benchmark (lits) P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ... Medical Image Analysis, 102680, 2022	610	2022
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	474	2017
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy C Wachinger, M Reuter, T Klein NeuroImage, 2017	344	2017
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	320	2015
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	306	2018
The Medical Segmentation Decathlon M Antonelli, A Reinke, S Bakas, K Farahani, BA Landman, G Litjens, ... arXiv preprint arXiv:2106.05735, 2021	255	2021
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	193	2019
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	193*	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	193*	2018
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	183	2019
Entropy and Laplacian images: Structural representations for multi-modal registration C Wachinger, N Navab Medical Image Analysis 16 (1), 1-17, 2012	180	2012
BrainPrint: A discriminative characterization of brain morphology C Wachinger, P Golland, W Kremen, B Fischl, M Reuter NeuroImage 109, 232-248, 2015	148	2015
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	127	2016
‘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	106	2020
'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	106*	2019
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	101	2012
Domain adaptation for Alzheimer's disease diagnostics C Wachinger, M Reuter, Alzheimer's Disease Neuroimaging Initiative Neuroimage 139, 470-479, 2016	100	2016
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	99	2014
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	97	2019

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