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Anzahl der Publikationen: 37
Zeitschriftenartikel
Rickmann, Anne-Marie; Senapati, Jyotirmay; Kovalenko, Oksana; Peters, Annette; Bamberg, Fabian und Wachinger, Christian
(17. September 2022):
AbdomenNet: deep neural network for abdominal organ segmentation in epidemiologic imaging studies.
In: BMC Medical Imaging, Bd. 22
[PDF, 1MB]
Sarasua, Ignacio; Pölsterl, Sebastian und Wachinger, Christian
(21. Mai 2022):
Hippocampal representations for deep learning on Alzheimer’s disease.
In: Scientific Reports, Bd. 12
[PDF, 3MB]
Feldmann, Lisa; Zsigo, Carolin; Piechaczek, Charlotte; Schröder, Pia-Theresa; Wachinger, Christian; Schulte-Körne, Gerd und Greimel, Ellen
(2022):
Visual attention during cognitive reappraisal in adolescent major depression: Evidence from two eye-tracking studies.
In: Behaviour Research and Therapy, Bd. 153, 104099
Pölsterl, Sebastian 
ORCID: https://orcid.org/0000-0002-1607-7550 und Wachinger, Christian ORCID: https://orcid.org/0000-0002-3652-1874
(2022):
Identification of causal effects of neuroanatomy on cognitive decline requires modeling unobserved confounders.
In: Alzheimer's & Dementia
[PDF, 2MB]
ORCID: https://orcid.org/0000-0002-1607-7550 und Wachinger, Christian ORCID: https://orcid.org/0000-0002-3652-1874
(2022):
Identification of causal effects of neuroanatomy on cognitive decline requires modeling unobserved confounders.
In: Alzheimer's & Dementia
[PDF, 2MB]
Wolf, Tom Nuno; Poelsterl, Sebastian und Wachinger, Christian
(2022):
DAFT: A universal module to interweave tabular data and 3D images in CNNs.
In: Neuroimage, Bd. 260, 119505
Antonelli, Michela; Reinke, Annika; Bakas, Spyridon; Farahani, Keyvan; Kopp-Schneider, Annette; Landman, Bennett A.; Litjens, Geert; Menze, Bjoern; Ronneberger, Olaf; Summers, Ronald M.; Ginneken, Bram van; Bilello, Michel; Bilic, Patrick; Christ, Patrick F.; Do, Richard K. G.; Gollub, Marc J.; Heckers, Stephan H.; Huisman, Henkjan; Jarnagin, William R.; McHugo, Maureen K.; Napel, Sandy; Pernicka, Jennifer S. Golia; Rhode, Kawal; Tobon-Gomez, Catalina; Vorontsov, Eugene; Meakin, James A.; Ourselin, Sebastien; Wiesenfarth, Manuel; Arbelaez, Pablo; Bae, Byeonguk; Chen, Sihong; Daza, Laura; Feng, Jianjiang; He, Baochun; Isensee, Fabian; Ji, Yuanfeng; Jia, Fucang; Kim, Ildoo; Maier-Hein, Klaus; Merhof, Dorit; Pai, Akshay; Park, Beomhee; Perslev, Mathias; Rezaiifar, Ramin; Rippel, Oliver; Sarasua, Ignacio; Shen, Wei; Son, Jaemin; Wachinger, Christian; Wang, Liansheng; Wang, Yan; Xia, Yingda; Xu, Daguang; Xu, Zhanwei; Zheng, Yefeng; Simpson, Amber L.; Maier-Hein, Lena und Cardoso, M. Jorge
(2022):
The Medical Segmentation Decathlon.
In: Nature Communications, Bd. 13, Nr. 1, 4128
Bilic, Patrick; Christ, Patrick; Li, Hongwei Bran; Vorontsov, Eugene; Ben-Cohen, Avi; Kaissis, Georgios; Szeskin, Adi; Jacobs, Colin; Mamani, Gabriel Efrain Humpire; Chartrand, Gabriel; Lohoefer, Fabian; Holch, Julian Walter; Sommer, Wieland; Hofmann, Felix; Hostettler, Alexandre; Lev-Cohain, Naama; Drozdzal, Michal; Amitai, Michal Marianne; Vivanti, Refael; Sosna, Jacob; Ezhov, Ivan; Sekuboyina, Anjany; Navarro, Fernando; Kofler, Florian; Paetzold, Johannes C.; Shit, Suprosanna; Hu, Xiaobin; Lipkova, Jana; Rempfler, Markus; Piraud, Marie; Kirschke, Jan; Wiestler, Benedikt; Zhang, Zhiheng; Huelsemeyer, Christian; Beetz, Marcel; Ettlinger, Florian; Antonelli, Michela; Bae, Woong; Bellver, Miriam; Bi, Lei; Chen, Hao; Chlebus, Grzegorz; Dam, Erik B.; Dou, Qi; Fu, Chi-Wing; Georgescu, Bogdan; Giro-I-Nieto, Xavier; Gruen, Felix; Han, Xu; Heng, Pheng-Ann; Hesser, Jürgen; Moltz, Jan Hendrik; Igel, Christian; Isensee, Fabian; Jaeger, Paul; Jia, Fucang; Kaluva, Krishna Chaitanya; Khened, Mahendra; Kim, Ildoo; Kim, Jae-Hun; Kim, Sungwoong; Kohl, Simon; Konopczynski, Tomasz; Kori, Avinash; Krishnamurthi, Ganapathy; Li, Fan; Li, Hongchao; Li, Junbo; Li, Xiaomeng; Lowengrub, John; Ma, Jun; Maier-Hein, Klaus; Maninis, Kevis-Kokitsi; Meine, Hans; Merhof, Dorit; Pai, Akshay; Perslev, Mathias; Petersen, Jens; Pont-Tuset, Jordi; Qi, Jin; Qi, Xiaojuan; Rippel, Oliver; Roth, Karsten; Sarasua, Ignacio; Schenk, Andrea; Shen, Zengming; Torres, Jordi; Wachinger, Christian; Wang, Chunliang; Weninger, Leon; Wu, Jianrong; Xu, Daguang; Yang, Xiaoping; Yu, Simon Chun-Ho; Yuan, Yading; Yue, Miao; Zhang, Liping; Cardoso, Jorge; Bakas, Spyridon; Braren, Rickmer; Heinemann, Volker; Pal, Christopher; Tang, An; Kadoury, Samuel; Soler, Luc; Ginneken, Bram van; Greenspan, Hayit; Joskowicz, Leo und Menze, Bjoern
(2022):
The Liver Tumor Segmentation Benchmark (LiTS).
In: Medical Image Analysis, Bd. 84, 102680
Wachinger, Christian; Rieckmann, Anna und Pölsterl, Sebastian
(2021):
Detect and correct bias in multi-site neuroimaging datasets.
In: Medical Image Analysis, Bd. 67, 101879
Gutmann, Daniel A. P.; Rospleszcz, Susanne; Rathmann, Wolfgang; Schlett, Christopher L.; Peters, Annette; Wachinger, Christian; Gatidis, Sergios und Bamberg, Fabian
(2021):
MRI-Derived Radiomics Features of Hepatic Fat Predict Metabolic States in Individuals without Cardiovascular Disease.
In: Academic Radiology, Bd. 28:
S1-S10
Gutierrez-Becker, Benjamin; Sarasua, Ignacio und Wachinger, Christian
(2021):
Discriminative and generative models for anatomical shape analysis on point clouds with deep neural networks.
In: Medical Image Analysis, Bd. 67, 101852
Dieckmeyer, Michael; Roy, Abhijit Guha; Senapati, Jyotirmay; Wachinger, Christian; Grundl, Lioba; Döpfert, Jörg; Bertran, Pere Ferrera; Lemke, Andreas; Zimmer, Claus; Kirschke, Jan S. und Hedderich, Dennis M.
(2021):
Effect of MRI acquisition acceleration via compressed sensing and parallel imaging on brain volumetry.
In: Magnetic Resonance Materials in Physics Biology and Medicine, Bd. 34, Nr. 4: S. 487-497
Sarasua, Ignacio; Pölsterl, Sebastian und Wachinger, Christian
(2020):
Recalibration of Neural Networks for Point Cloud Analysis.
In: 2020 International Conference on 3D Vision (3Dv 2020): S. 443-451
Rickmann, Anne-Marie; Guha Roy, Abhijit; Sarasua, Ignacio und Wachinger, Christian
(2020):
Recalibrating 3D ConvNets With Project & Excite.
In: IEEE Transactions on Medical Imaging, Bd. 39, Nr. 7: S. 2461-2471
Wachinger, Christian; Toews, Matthew; Langs, Georg; Wells, William und Golland, Polina
(2020):
Keypoint Transfer for Fast Whole-Body Segmentation.
In: IEEE Transactions on Medical Imaging, Bd. 39, Nr. 2: S. 273-282
Richards, Rose; Greimel, Ellen; Kliemann, Dorit; Koerte, Inga K.; Schulte-Körne, Gerd; Reuter, Martin und Wachinger, Christian
(2020):
Increased hippocampal shape asymmetry and volumetric ventricular asymmetry in autism spectrum disorder.
In: Neuroimage-Clinical, Bd. 26, 102207
Chauvin, Laurent; Kumar, Kuldeep; Wachinger, Christian; Vangel, Marc; de Guise, Jacques; Desrosiers, Christian; Wells, William und Toews, Matthew
(2020):
Neuroimage signature from salient keypoints is highly specific to individuals and shared by close relatives.
In: Neuroimage, Bd. 204, 116208
Roy, Abhijit Guha; Siddiqui, Shayan; Poelsterl, Sebastian; Navab, Nassir und Wachinger, Christian
(2020):
'Squeeze & excite' guided few-shot segmentation of volumetric images.
In: Medical Image Analysis, Bd. 59, 101587
Gutierrez-Becker, Benjamin und Wachinger, Christian
(2019):
Learning a Conditional Generative Model for Anatomical Shape Analysis.
In: Information Processing in Medical Imaging, Ipmi 2019, Bd. 11492: S. 505-516
Roy, Abhijit Guha; Navab, Nassir und Wachinger, Christian
(2019):
Recalibrating Fully Convolutional Networks With Spatial and Channel "Squeeze and Excitation" Blocks.
In: IEEE Transactions on Medical Imaging, Bd. 38, Nr. 2: S. 540-549
Paschali, Magdalini; Simson, Walter; Roy, Abhijit Guha; Goebl, Rüdiger; Wachinger, Christian und Navab, Nassir
(2019):
Manifold Exploring Data Augmentation with Geometric Transformations for Increased Performance and Robustness.
In: Information Processing in Medical Imaging, Ipmi 2019, Bd. 11492: S. 517-529
Roy, Abhijit Guha; Conjeti, Sailesh; Navab, Nassir; Wachinger, Christian; Weiner, Michael W. und Aisen, Paul
(2019):
QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy.
In: Neuroimage, Bd. 186: S. 713-727
Roy, Abhijit Guha; Conjeti, Sailesh; Navab, Nassir und Wachinger, Christian
(2019):
Bayesian QuickNAT: Model uncertainty in deep whole-brain segmentation for structure-wise quality control.
In: Neuroimage, Bd. 195: S. 11-22
Wachinger, Christian; Volkmer, Susanne; Bublath, Katharina; Bruder, Jennifer; Bartling, Jürgen und Schulte-Körne, Gerd
(2018):
Does the late positive component reflect successful reading acquisition? A longitudinal ERP study.
In: Neuroimage-Clinical, Bd. 17: S. 232-240
[PDF, 720kB]
Wachinger, Christian; Nho, Kwangsik; Saykin, Andrew J.; Reuter, Martin und Rieckmann, Anna
(2018):
A Longitudinal Imaging Genetics Study of Neuroanatomical Asymmetry in Alzheimer's Disease.
In: Biological Psychiatry, Bd. 84, Nr. 7: S. 522-530
Becker, Benjamin Gutierrez; Klein, Tassilo und Wachinger, Christian
(2018):
Gaussian process uncertainty in age estimation as a measure of brain abnormality.
In: Neuroimage, Bd. 175: S. 246-258
Wachinger, Christian; Reuter, Martin und Klein, Tassilo
(2018):
DeepNAT: Deep convolutional neural network for segmenting neuroanatomy.
In: Neuroimage, Bd. 170: S. 434-445
Roy, Abhijit Guha; Conjeti, Sailesh; Karri, Sri Phani Krishna; Sheet, Debdoot; Katouzian, Amin; Wachinger, Christian und Navab, Nassir
(2017):
ReLayNet: retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks.
In: Biomedical Optics Express, Bd. 8, Nr. 8: S. 3627-3642
Wachinger, Christian; Brennan, Matthew; Sharp, Greg C. und Golland, Polina
(2017):
Efficient Descriptor-Based Segmentation of Parotid Glands With Nonlocal Means.
In: Ieee Transactions On Biomedical Engineering, Bd. 64, Nr. 7: S. 1492-1502
Wachinger, Christian und Reuter, Martin
(2016):
Domain adaptation for Alzheimer's disease diagnostics.
In: Neuroimage, Bd. 139: S. 470-479
Wachinger, Christian; Salat, David H.; Weiner, Michael und Reuter, Martin
(2016):
Whole-brain analysis reveals increased neuroanatomical asymmetries in dementia for hippocampus and amygdala.
In: Brain, Bd. 139: S. 3253-3266
Buchbeitrag
Pölsterl, Sebastian ORCID: https://orcid.org/0000-0002-1607-7550; Wolf, Tom Nuno und Wachinger, Christian ORCID: https://orcid.org/0000-0002-3652-1874
(2021):
Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform.
In: Bruijne, Marleen de; Cattin, Philippe C.; Cotin, Stéphane; Padoy, Nicolas; Speidel, Stefanie; Zheng, Yefeng und Essert, Caroln (Hrsg.):
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021. 24th International Conference, Strasbourg, France, September 27 – October 1, 2021, Proceedings, Part V. Lecture Notes in Computer Science (LNCS), Bd. 12905. S. 688-698
ORCID: https://orcid.org/0000-0002-1607-7550; Wolf, Tom Nuno und Wachinger, Christian ORCID: https://orcid.org/0000-0002-3652-1874
(2021):
Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform.
In: Bruijne, Marleen de; Cattin, Philippe C.; Cotin, Stéphane; Padoy, Nicolas; Speidel, Stefanie; Zheng, Yefeng und Essert, Caroln (Hrsg.):
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021. 24th International Conference, Strasbourg, France, September 27 – October 1, 2021, Proceedings, Part V. Lecture Notes in Computer Science (LNCS), Bd. 12905. S. 688-698
Pölsterl, Sebastian ORCID: https://orcid.org/0000-0002-1607-7550; Aigner, Christina und Wachinger, Christian ORCID: https://orcid.org/0000-0002-3652-1874
(2021):
Scalable, Axiomatic Explanations of Deep Alzheimer’s Diagnosis from Heterogeneous Data.
In: Bruijne, Maleen de; Cattin, Philippe C.; Cotin, Stéphane; Padoy, Nicolas; Speidel, Stefanie; Zheng, Yefeng und Essert, Carolin (Hrsg.):
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021. 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part III. Lecture Notes in Computer Science (LNIP), Bd. 12903. Cham: Springer. S. 434-444
ORCID: https://orcid.org/0000-0002-1607-7550; Aigner, Christina und Wachinger, Christian ORCID: https://orcid.org/0000-0002-3652-1874
(2021):
Scalable, Axiomatic Explanations of Deep Alzheimer’s Diagnosis from Heterogeneous Data.
In: Bruijne, Maleen de; Cattin, Philippe C.; Cotin, Stéphane; Padoy, Nicolas; Speidel, Stefanie; Zheng, Yefeng und Essert, Carolin (Hrsg.):
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021. 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part III. Lecture Notes in Computer Science (LNIP), Bd. 12903. Cham: Springer. S. 434-444
Pölsterl, Sebastian und Wachinger, Christian
(2021):
Adversarial Learned Molecular Graph Inference and Generation.
In: Hutter, Frank; Kersting, Kristian; Lijffijt, Jefrey und Valera, Isabel (Hrsg.):
Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part II. Lecture Notes in Computer Science (LNCS), Bd. 12458. Cham: Springer. S. 173-189
Konferenzbeitrag
Bongratz, Fabian; Rickmann, Anne-Marie; Pölsterl, Sebastian ORCID: https://orcid.org/0000-0002-1607-7550 und Wachinger, Christian ORCID: https://orcid.org/0000-0002-3652-1874
(2022):
Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces from 3D MRI Scans with Geometric Deep Neural Networks.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, USA, 18-24 June 2022.
In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
S. 20741-20751
ORCID: https://orcid.org/0000-0002-1607-7550 und Wachinger, Christian ORCID: https://orcid.org/0000-0002-3652-1874
(2022):
Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces from 3D MRI Scans with Geometric Deep Neural Networks.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, USA, 18-24 June 2022.
In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
S. 20741-20751
Sarasusa, Ignacio; Pölsterl, Sebastian ORCID: https://orcid.org/0000-0002-1607-7550 und Wachinger, Christian ORCID: https://orcid.org/0000-0002-3652-1874
(2022):
CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis.
25th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2022, Singapur, September 18th to 22nd 2022.
In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2022. 25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part I, Lecture Notes in Computer Science
Bd. 13431
Cham, Switzerland: Springer. S. 44-54
ORCID: https://orcid.org/0000-0002-1607-7550 und Wachinger, Christian ORCID: https://orcid.org/0000-0002-3652-1874
(2022):
CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis.
25th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2022, Singapur, September 18th to 22nd 2022.
In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2022. 25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part I, Lecture Notes in Computer Science
Bd. 13431
Cham, Switzerland: Springer. S. 44-54
Narazani, Marla; Sarasua, Ignacio; Pölsterl, Sebastian ORCID: https://orcid.org/0000-0002-1607-7550; Lizarraga, Aldana; Yakushev, Igor und Wachinger, Christian ORCID: https://orcid.org/0000-0002-3652-1874
(2022):
Is a PET All You Need? A Multi-modal Study for Alzheimer’s Disease Using 3D CNNs.
25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), Singapore, September 18–22, 2022.
In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2022. Proceedings, Part I, Lecture Notes in Computer Science
Bd. 13431
Cham: Springer. S. 66-76
ORCID: https://orcid.org/0000-0002-1607-7550; Lizarraga, Aldana; Yakushev, Igor und Wachinger, Christian ORCID: https://orcid.org/0000-0002-3652-1874
(2022):
Is a PET All You Need? A Multi-modal Study for Alzheimer’s Disease Using 3D CNNs.
25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), Singapore, September 18–22, 2022.
In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2022. Proceedings, Part I, Lecture Notes in Computer Science
Bd. 13431
Cham: Springer. S. 66-76
Sarasua, Ignacio; Lee, Jonwong und Wachinger, Christian
(2021):
Geometric Deep Learning on Anatomical Meshes for the Prediction of Alzheimer’s Disease.
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), Nice, France, 13-16 April 2021.
In: 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI),
New York: IEEE. S. 1356-1359