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Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
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Anzahl der Publikationen: 41

2023

Gaus, Richard; Pölsterl, Sebastian ORCID logoORCID: https://orcid.org/0000-0002-1607-7550; Greimel, Ellen; Schulte‐Körne, Gerd und Wachinger, Christian (2023): Can we diagnose mental disorders in children? A large‐scale assessment of machine learning on structural neuroimaging of 6916 children in the adolescent brain cognitive development study. In: JCPP Advances, Bd. 3, Nr. 4 [PDF, 913kB]

Wolf, Tom Nuno; Pölsterl, Sebastian ORCID logoORCID: https://orcid.org/0000-0002-1607-7550 und Wachinger, Christian ORCID logoORCID: https://orcid.org/0000-0002-3652-1874 (2023): Don’t PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer’s Disease. IPMI 2023 : Information Processing in Medical Imaging, San Carlos De Bariloche, Argentina, 18-23 June 2023. Frangi, Alejandro; de Bruijne, Marleen; Wassermann, Demian und Navab, Nassir (Hrsg.): In: Information Processing in Medical Imaging : 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18–23, 2023, Proceedings, Bd. 13939 Cham: Springer. S. 82-94

Rickmann, Anne-Marie ORCID logoORCID: https://orcid.org/0000-0002-7432-0782; Xu, Murong; Wolf, Tom Nuno; Kovalenko, Oksana und Wachinger, Christian ORCID logoORCID: https://orcid.org/0000-0002-3652-1874 (2023): HALOS: Hallucination-Free Organ Segmentation After Organ Resection Surgery. IPMI 2023 : Information Processing in Medical Imaging, San Carlos De Bariloche, Argentina, 18-23 June 2023. Frangi, Alejandro; de Bruijne, Marleen; Wassermann, Demian und Navab, Nassir (Hrsg.): In: Information Processing in Medical Imaging : 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18–23, 2023, Proceedings, Bd. 13939 Cham: Springer. S. 667-678

Rickmann, Anne-Marie ORCID logoORCID: https://orcid.org/0000-0002-7432-0782; Bongratz, Fabian und Wachinger, Christian ORCID logoORCID: https://orcid.org/0000-0002-3652-1874 (2023): Vertex Correspondence in Cortical Surface Reconstruction. 26th International Conference on Medical Image Computing and Computer Assisted Intervention, Vancouver, Canada, October 8-12, 2023. Greenspan, Hayit; Madabhushi, Anant; Mousavi, Parvin; Salcudean, Septimiu; Duncan, James; Syeda-Mahmood, Tanveer und Taylor, Russell (Hrsg.): In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, Bd. 14227 Cham: Springer. S. 318-327

2022

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]

Sarasusa, Ignacio; Pölsterl, Sebastian ORCID logoORCID: https://orcid.org/0000-0002-1607-7550 und Wachinger, Christian ORCID logoORCID: 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

Pölsterl, Sebastian ORCID logoORCID: https://orcid.org/0000-0002-1607-7550 und Wachinger, Christian ORCID logoORCID: 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]

Bongratz, Fabian; Rickmann, Anne-Marie; Pölsterl, Sebastian ORCID logoORCID: https://orcid.org/0000-0002-1607-7550 und Wachinger, Christian ORCID logoORCID: 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

Narazani, Marla; Sarasua, Ignacio; Pölsterl, Sebastian ORCID logoORCID: https://orcid.org/0000-0002-1607-7550; Lizarraga, Aldana; Yakushev, Igor und Wachinger, Christian ORCID logoORCID: 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

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

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

2021

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

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

Pölsterl, Sebastian ORCID logoORCID: https://orcid.org/0000-0002-1607-7550; Wolf, Tom Nuno und Wachinger, Christian ORCID logoORCID: 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 logoORCID: https://orcid.org/0000-0002-1607-7550; Aigner, Christina und Wachinger, Christian ORCID logoORCID: 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

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

2020

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

2019

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; 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

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; 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

2018

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

2017

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

2016

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

Diese Liste wurde am Sat Dec 21 19:33:03 2024 CET erstellt.