Christian Wachinger

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Nassir NavabProfessor of Computer Science, Technische Universität München在 cs.tum.edu 的電子郵件地址已通過驗證
Prof. Dr. Martin ReuterDirector AI in Medical Imaging DZNE Bonn Germany, Radiology & Neurology at Harvard Medical School在 mgh.harvard.edu 的電子郵件地址已通過驗證
Tassilo KleinPrincipal Scientist @ SAP AI Research在 sap.com 的電子郵件地址已通過驗證
Bruce Fischl or B FischlMass General Hospital/Harvard Medical School在 nmr.mgh.harvard.edu 的電子郵件地址已通過驗證
William M. Wells III (Sandy)Harvard Medical School, M.I.T.在 bwh.harvard.edu 的電子郵件地址已通過驗證
Mehmet Yigitsoydeepc.ai在 deepc.ai 的電子郵件地址已通過驗證
Wolfgang WeinCEO, ImFusion GmbH; Adjunct Professor, TU Munich在 cs.tum.edu 的電子郵件地址已通過驗證
Caroline MagnainAssistant Professor, Martinos Center, MGH / HSM在 nmr.mgh.harvard.edu 的電子郵件地址已通過驗證
William KremenProfessor of Psychiatry, University of California, San Diego在 ucsd.edu 的電子郵件地址已通過驗證
Ben GlockerImperial College London在 imperial.ac.uk 的電子郵件地址已通過驗證
David A BoasBoston University在 bu.edu 的電子郵件地址已通過驗證
Nikos KomodakisAssistant Professor, Computer Science Department, University of Crete在 csd.uoc.gr 的電子郵件地址已通過驗證
Maximilian BaustSenior Manager AI Developer Technology EMEA在 nvidia.com 的電子郵件地址已通過驗證
Stefanie DemirciVDI/VDE-IT在 uludag.dataprivacynow.com 的電子郵件地址已通過驗證
Ali BigdelouBMW Group and Technical University of Munich在 bmw.de 的電子郵件地址已通過驗證
Dr. Ramtin ShamsSenior Lecturer, The Australian National University在 anu.edu.au 的電子郵件地址已通過驗證
Kayhan BatmanghelichAssistant Professor, Boston University在 bu.edu 的電子郵件地址已通過驗證
George H. ChenAssociate Professor, Carnegie Mellon University在 cmu.edu 的電子郵件地址已通過驗證
Mehdi MoradiMcMaster University在 mcmaster.ca 的電子郵件地址已通過驗證
Andrey FedorovRadiology, Brigham and Women's Hospital, Harvard Medical School在 bwh.harvard.edu 的電子郵件地址已通過驗證

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Christian Wachinger

Technical University of Munich

在 csail.mit.edu 的電子郵件地址已通過驗證 - 首頁

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


標題按引用次數排序按年份排序按標題排序	引用次數引用次數	年份
The liver tumor segmentation benchmark (lits) P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ... Medical Image Analysis 84, 102680, 2023	1248	2023
Concurrent spatial and channel ‘squeeze & excitation’in fully convolutional networks AG Roy, N Navab, C Wachinger Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018	1112	2018
The medical segmentation decathlon M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ... Nature communications 13 (1), 4128, 2022	980	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	621	2017
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	471	2018
DeepNAT: Deep convolutional neural network for segmenting neuroanatomy C Wachinger, M Reuter, T Klein NeuroImage 170, 434-445, 2018	397	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	383	2019
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	369	2015
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	259	2019
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	259	2019
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	259	2019
Entropy and Laplacian images: Structural representations for multi-modal registration C Wachinger, N Navab Medical Image Analysis 16 (1), 1-17, 2012	197	2012
‘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	195	2020
‘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	195	2020
BrainPrint: A discriminative characterization of brain morphology C Wachinger, P Golland, W Kremen, B Fischl, M Reuter NeuroImage 109, 232-248, 2015	173	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	151	2016
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	150	2019
Domain adaptation for Alzheimer's disease diagnostics C Wachinger, M Reuter, Alzheimer's Disease Neuroimaging Initiative Neuroimage 139, 470-479, 2016	127	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	112	2014
Detect and correct bias in multi-site neuroimaging datasets C Wachinger, A Rieckmann, S Pölsterl, ... Medical Image Analysis 67, 101879, 2021	106	2021

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