Christian Wachinger

2024

H-ViT: A Hierarchical Vision Transformer for Deformable Image Registration

Ghahremani, M., Khateri, M., Jian, B., Wiestler, B., Adeli, E. & Wachinger, C., 2024, Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024. IEEE Computer Society, p. 11513-11523 11 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning

Wolf, T. N., Bongratz, F., Rickmann, A. M., Pölsterl, S. & Wachinger, C., 25 Mar 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 6, p. 5921-5929 9 p.

Research output: Contribution to journal › Conference article › peer-review

Open Access

3 Scopus citations

Mamba? Catch The Hype Or Rethink What Really Helps for Image Registration

Jian, B., Pan, J., Ghahremani, M., Rueckert, D., Wachinger, C. & Wiestler, B., 2024, Biomedical Image Registration - 11th International Workshop, WBIR 2024, Held in Conjunction with MICCAI 2024, Proceedings. Modat, M., Špiclin, Ž., Hering, A., Simpson, I., Bastiaansen, W. & Mok, T. C. W. (eds.). Springer Science and Business Media Deutschland GmbH, p. 86-97 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15249 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

MedShapeNet - a large-scale dataset of 3D medical shapes for computer vision

Li, J., Zhou, Z., Yang, J., Pepe, A., Gsaxner, C., Luijten, G., Qu, C., Zhang, T., Chen, X., Li, W., Wodzinski, M., Friedrich, P., Xie, K., Jin, Y., Ambigapathy, N., Nasca, E., Solak, N., Melito, G. M., Vu, V. D. & Memon, A. R. & 137 others, Schlachta, C., De Ribaupierre, S., Patel, R., Eagleson, R., Chen, X., Mächler, H., Kirschke, J. S., De La Rosa, E., Christ, P. F., Li, H. B., Ellis, D. G., Aizenberg, M. R., Gatidis, S., Küstner, T., Shusharina, N., Heller, N., Andrearczyk, V., Depeursinge, A., Hatt, M., Sekuboyina, A., Löffler, M. T., Liebl, H., Dorent, R., Vercauteren, T., Shapey, J., Kujawa, A., Cornelissen, S., Langenhuizen, P., Ben-Hamadou, A., Rekik, A., Pujades, S., Boyer, E., Bolelli, F., Grana, C., Lumetti, L., Salehi, H., Ma, J., Zhang, Y., Gharleghi, R., Beier, S., Sowmya, A., Garza-Villarreal, E. A., Balducci, T., Angeles-Valdez, D., Souza, R., Rittner, L., Frayne, R., Ji, Y., Ferrari, V., Chatterjee, S., Dubost, F., Schreiber, S., Mattern, H., Speck, O., Haehn, D., John, C., Nürnberger, A., Pedrosa, J., Ferreira, C., Aresta, G., Cunha, A., Campilho, A., Suter, Y., Garcia, J., Lalande, A., Vandenbossche, V., Van Oevelen, A., Duquesne, K., Mekhzoum, H., Vandemeulebroucke, J., Audenaert, E., Krebs, C., Van Leeuwen, T., Vereecke, E., Heidemeyer, H., Röhrig, R., Hölzle, F., Badeli, V., Krieger, K., Gunzer, M., Chen, J., Van Meegdenburg, T., Dada, A., Balzer, M., Fragemann, J., Jonske, F., Rempe, M., Malorodov, S., Bahnsen, F. H., Seibold, C., Jaus, A., Marinov, Z., Jaeger, P. F., Stiefelhagen, R., Santos, A. S., Lindo, M., Ferreira, A., Alves, V., Kamp, M., Abourayya, A., Nensa, F., Hörst, F., Brehmer, A., Heine, L., Hanusrichter, Y., Weßling, M., Dudda, M., Podleska, L. E., Fink, M. A., Keyl, J., Tserpes, K., Kim, M. S., Elhabian, S., Lamecker, H., Zukić, D. E., Paniagua, B., Wachinger, C., Urschler, M., Duong, L., Wasserthal, J., Hoyer, P. F., Basu, O., Maal, T., Witjes, M. J. H., Schiele, G., Chang, T. C., Ahmadi, S. A., Luo, P., Menze, B., Reyes, M., Deserno, T. M., Davatzikos, C., Puladi, B., Fua, P., Yuille, A. L., Kleesiek, J. & Egger, J., 2024, (Accepted/In press) In: Biomedizinische Technik.

Research output: Contribution to journal › Article › peer-review

Neural deformation fields for template-based reconstruction of cortical surfaces from MRI

Bongratz, F., Rickmann, A. M. & Wachinger, C., Apr 2024, In: Medical Image Analysis. 93, 103093.

Research output: Contribution to journal › Article › peer-review

Open Access

3 Scopus citations

PASTA: Pathology-Aware MRI to PET CroSs-modal TrAnslation with Diffusion Models

Li, Y., Yakushev, I., Hedderich, D. M. & Wachinger, C., 2024, Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 - 27th International Conference, Proceedings. Linguraru, M. G., Dou, Q., Feragen, A., Giannarou, S., Glocker, B., Lekadir, K. & Schnabel, J. A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 529-540 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15007 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2023

Abdominal organ segmentation via deep diffeomorphic mesh deformations

Bongratz, F., Rickmann, A. M. & Wachinger, C., Dec 2023, In: Scientific Reports. 13, 1, 18270.

Research output: Contribution to journal › Article › peer-review

Open Access

4 Scopus citations

Aberrant allometric scaling of cortical folding in preterm-born adults

Schmitz-Koep, B., Menegaux, A., Zimmermann, J., Thalhammer, M., Neubauer, A., Wendt, J., Schinz, D., Wachinger, C., Daamen, M., Boecker, H., Zimmer, C., Priller, J., Wolke, D., Bartmann, P., Sorg, C. & Hedderich, D. M., 2023, In: Brain Communications. 5, 1, fcac341.

Research output: Contribution to journal › Article › peer-review

Open Access

1 Scopus citations

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

Gaus, R., Pölsterl, S., Greimel, E., Schulte-Körne, G. & Wachinger, C., Dec 2023, In: JCPP Advances. 3, 4, e12184.

Research output: Contribution to journal › Article › peer-review

Open Access

5 Scopus citations

Deep learning for the prediction of type 2 diabetes mellitus from neck-to-knee Dixon MRI in the UK biobank

Wachinger, C., Wolf, T. N. & Pölsterl, S., Nov 2023, In: Heliyon. 9, 11, e22239.

Research output: Contribution to journal › Article › peer-review

Open Access

2 Scopus citations

Don’t PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer’s Disease

Wolf, T. N., Pölsterl, S. & Wachinger, C., 2023, Information Processing in Medical Imaging - 28th International Conference, IPMI 2023, Proceedings. Frangi, A., de Bruijne, M., Wassermann, D. & Navab, N. (eds.). Springer Science and Business Media Deutschland GmbH, p. 82-94 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13939 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access

4 Scopus citations

Emotion regulation in adolescents with major depression – Evidence from a combined EEG and eye-tracking study

Feldmann, L., Zsigo, C., Mörtl, I., Bartling, J., Wachinger, C., Oort, F., Schulte-Körne, G. & Greimel, E., 1 Nov 2023, In: Journal of Affective Disorders. 340, p. 899-906 8 p.

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Emotion Regulation Training for Adolescents With Major Depression: Results From a Randomized Controlled Trial

Zsigo, C., Feldmann, L., Oort, F., Piechaczek, C., Bartling, J., Schulte-Rüther, M., Wachinger, C., Schulte-Körne, G. & Greimel, E., 7 Dec 2023, In: Emotion. 24, 4, p. 975-991 17 p.

Research output: Contribution to journal › Article › peer-review

Open Access

HALOS: Hallucination-Free Organ Segmentation After Organ Resection Surgery

Rickmann, A. M., Xu, M., Wolf, T. N., Kovalenko, O. & Wachinger, C., 2023, Information Processing in Medical Imaging - 28th International Conference, IPMI 2023, Proceedings. Frangi, A., de Bruijne, M., Wassermann, D. & Navab, N. (eds.). Springer Science and Business Media Deutschland GmbH, p. 667-678 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13939 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access

2 Scopus citations

Identification of causal effects of neuroanatomy on cognitive decline requires modeling unobserved confounders

the Alzheimer's Disease Neuroimaging Initiative & the Japanese Alzheimer's Disease Neuroimaging Initiative, May 2023, In: Alzheimer's and Dementia. 19, 5, p. 1994-2005 12 p.

Research output: Contribution to journal › Article › peer-review

Open Access

2 Scopus citations

Preface

Wachinger, C., Paniagua, B., Elhabian, S., Li, J. & Egger, J., 2023, In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 14350 LNCS

Research output: Contribution to journal › Editorial

RegBN: Batch Normalization of Multimodal Data with Regularization

Ghahremani, M. & Wachinger, C., 2023, In: Advances in Neural Information Processing Systems. 36

Research output: Contribution to journal › Conference article › peer-review

2 Scopus citations

The Liver Tumor Segmentation Benchmark (LiTS)

Bilic, P., Christ, P., Li, H. B., Vorontsov, E., Ben-Cohen, A., Kaissis, G., Szeskin, A., Jacobs, C., Mamani, G. E. H., Chartrand, G., Lohöfer, F., Holch, J. W., Sommer, W., Hofmann, F., Hostettler, A., Lev-Cohain, N., Drozdzal, M., Amitai, M. M., Vivanti, R. & Sosna, J. & 89 others, Ezhov, I., Sekuboyina, A., Navarro, F., Kofler, F., Paetzold, J. C., Shit, S., Hu, X., Lipková, J., Rempfler, M., Piraud, M., Kirschke, J., Wiestler, B., Zhang, Z., Hülsemeyer, C., Beetz, M., Ettlinger, F., Antonelli, M., Bae, W., Bellver, M., Bi, L., Chen, H., Chlebus, G., Dam, E. B., Dou, Q., Fu, C. W., Georgescu, B., Giró-i-Nieto, X., Gruen, F., Han, X., Heng, P. A., Hesser, J., Moltz, J. H., Igel, C., Isensee, F., Jäger, P., Jia, F., Kaluva, K. C., Khened, M., Kim, I., Kim, J. H., Kim, S., Kohl, S., Konopczynski, T., Kori, A., Krishnamurthi, G., Li, F., Li, H., Li, J., Li, X., Lowengrub, J., Ma, J., Maier-Hein, K., Maninis, K. K., Meine, H., Merhof, D., Pai, A., Perslev, M., Petersen, J., Pont-Tuset, J., Qi, J., Qi, X., Rippel, O., Roth, K., Sarasua, I., Schenk, A., Shen, Z., Torres, J., Wachinger, C., Wang, C., Weninger, L., Wu, J., Xu, D., Yang, X., Yu, S. C. H., Yuan, Y., Yue, M., Zhang, L., Cardoso, J., Bakas, S., Braren, R., Heinemann, V., Pal, C., Tang, A., Kadoury, S., Soler, L., van Ginneken, B., Greenspan, H., Joskowicz, L. & Menze, B., Feb 2023, In: Medical Image Analysis. 84, 102680.

Research output: Contribution to journal › Article › peer-review

Open Access

389 Scopus citations

Vertex Correspondence in Cortical Surface Reconstruction

Rickmann, A. M., Bongratz, F. & Wachinger, C., 2023, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 - 26th International Conference, Proceedings. Greenspan, H., Greenspan, H., Madabhushi, A., Mousavi, P., Salcudean, S., Duncan, J., Syeda-Mahmood, T. & Taylor, R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 318-327 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14227 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2022

AbdomenNet: deep neural network for abdominal organ segmentation in epidemiologic imaging studies

Rickmann, A. M., Senapati, J., Kovalenko, O., Peters, A., Bamberg, F. & Wachinger, C., Dec 2022, In: BMC Medical Imaging. 22, 1, 168.

Research output: Contribution to journal › Article › peer-review

Open Access

9 Scopus citations

CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis

Sarasua, I., Pölsterl, S. & Wachinger, C., 2022, Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings. Wang, L., Dou, Q., Fletcher, P. T., Speidel, S. & Li, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 44-54 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13431 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access

DAFT: A universal module to interweave tabular data and 3D images in CNNs

the Alzheimer's Disease Neuroimaging Initiative & the Australian Imaging Biomarkers and Lifestyle flagship study of ageing, 15 Oct 2022, In: NeuroImage. 260, 119505.

Research output: Contribution to journal › Article › peer-review

Open Access

18 Scopus citations

Few-shot segmentation of 3D medical images

Guha Roy, A., Siddiqui, S., Pölsterl, S., Farshad, A., Navab, N. & Wachinger, C., 1 Jan 2022, Meta Learning with Medical Imaging and Health Informatics Applications. Elsevier, p. 161-183 23 p.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

3 Scopus citations

Hippocampal representations for deep learning on Alzheimer’s disease

Sarasua, I., Pölsterl, S. & Wachinger, C., Dec 2022, In: Scientific Reports. 12, 1, 8619.

Research output: Contribution to journal › Article › peer-review

Open Access

9 Scopus citations

Is a PET All You Need? A Multi-modal Study for Alzheimer’s Disease Using 3D CNNs

Narazani, M., Sarasua, I., Pölsterl, S., Lizarraga, A., Yakushev, I. & Wachinger, C., 2022, Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings. Wang, L., Dou, Q., Fletcher, P. T., Speidel, S. & Li, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 66-76 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13431 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access

13 Scopus citations

Joint Reconstruction and Parcellation of Cortical Surfaces

Rickmann, A. M., Bongratz, F., Pölsterl, S., Sarasua, I. & Wachinger, C., 2022, Machine Learning in Clinical Neuroimaging - 5th International Workshop, MLCN 2022, Held in Conjunction with MICCAI 2022, Proceedings. Abdulkadir, A., Bathula, D. R., Dvornek, N. C., Habes, M., Kia, S. M., Kumar, V. & Wolfers, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 3-12 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13596 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access

The Medical Segmentation Decathlon

Antonelli, M., Reinke, A., Bakas, S., Farahani, K., Kopp-Schneider, A., Landman, B. A., Litjens, G., Menze, B., Ronneberger, O., Summers, R. M., van Ginneken, B., Bilello, M., Bilic, P., Christ, P. F., Do, R. K. G., Gollub, M. J., Heckers, S. H., Huisman, H., Jarnagin, W. R. & McHugo, M. K. & 38 others, Napel, S., Pernicka, J. S. G., Rhode, K., Tobon-Gomez, C., Vorontsov, E., Meakin, J. A., Ourselin, S., Wiesenfarth, M., Arbeláez, P., Bae, B., Chen, S., Daza, L., Feng, J., He, B., Isensee, F., Ji, Y., Jia, F., Kim, I., Maier-Hein, K., Merhof, D., Pai, A., Park, B., Perslev, M., Rezaiifar, R., Rippel, O., Sarasua, I., Shen, W., Son, J., Wachinger, C., Wang, L., Wang, Y., Xia, Y., Xu, D., Xu, Z., Zheng, Y., Simpson, A. L., Maier-Hein, L. & Cardoso, M. J., Dec 2022, In: Nature Communications. 13, 1, 4128.

Research output: Contribution to journal › Article › peer-review

Open Access

467 Scopus citations

Visual attention during cognitive reappraisal in adolescent major depression: Evidence from two eye-tracking studies

Feldmann, L., Zsigo, C., Piechaczek, C., Schröder, P. T., Wachinger, C., Schulte-Körne, G. & Greimel, E., Jun 2022, In: Behaviour Research and Therapy. 153, 104099.

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces from 3D MRI Scans with Geometric Deep Neural Networks

Bongratz, F., Rickmann, A. M., Polsterl, S. & Wachinger, C., 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. IEEE Computer Society, p. 20741-20751 11 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2022-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access

18 Scopus citations

2021

Adversarial Learned Molecular Graph Inference and Generation

Pölsterl, S. & Wachinger, C., 2021, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Proceedings. Hutter, F., Kersting, K., Lijffijt, J. & Valera, I. (eds.). Springer Science and Business Media Deutschland GmbH, p. 173-189 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12458 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Alzheimer’s Disease Diagnosis via Deep Factorization Machine Models

Ronge, R., Nho, K., Wachinger, C. & Pölsterl, S., 2021, Machine Learning in Medical Imaging - 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Proceedings. Lian, C., Cao, X., Rekik, I., Xu, X. & Yan, P. (eds.). Springer Science and Business Media Deutschland GmbH, p. 624-633 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12966 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access

4 Scopus citations

Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform

Pölsterl, S., Wolf, T. N. & Wachinger, C., 2021, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 - 24th International Conference, Proceedings. de Bruijne, M., Cattin, P. C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y. & Essert, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 688-698 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12905 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access

30 Scopus citations

Detect and correct bias in multi-site neuroimaging datasets

for the Alzheimer's Disease Neuroimaging Initiative and the Australian Imaging Biomarkers and Lifestyle flagship study of ageing, Jan 2021, In: Medical Image Analysis. 67, 101879.

Research output: Contribution to journal › Article › peer-review

Open Access

62 Scopus citations

Discriminative and generative models for anatomical shape analysis on point clouds with deep neural networks

Gutiérrez-Becker, B., Sarasua, I. & Wachinger, C., Jan 2021, In: Medical Image Analysis. 67, 101852.

Research output: Contribution to journal › Article › peer-review

Open Access

14 Scopus citations

Effect of MRI acquisition acceleration via compressed sensing and parallel imaging on brain volumetry

Dieckmeyer, M., Roy, A. G., Senapati, J., Wachinger, C., Grundl, L., Döpfert, J., Bertran, P. F., Lemke, A., Zimmer, C., Kirschke, J. S. & Hedderich, D. M., Aug 2021, In: Magnetic Resonance Materials in Physics, Biology and Medicine. 34, 4, p. 487-497 11 p.

Research output: Contribution to journal › Article › peer-review

Open Access

15 Scopus citations

Estimation of Causal Effects in the Presence of Unobserved Confounding in the Alzheimer’s Continuum

Pölsterl, S. & Wachinger, C., 2021, Information Processing in Medical Imaging - 27th International Conference, IPMI 2021, Proceedings. Feragen, A., Sommer, S., Schnabel, J. & Nielsen, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 45-57 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12729 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access

5 Scopus citations

Geometric deep learning on anatomical meshes for the prediction of alzheimer's disease

Sarasua, I., Lee, J. & Wachinger, C., 13 Apr 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021. IEEE Computer Society, p. 1356-1359 4 p. 9433948. (Proceedings - International Symposium on Biomedical Imaging; vol. 2021-April).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access

11 Scopus citations

MRI-Derived Radiomics Features of Hepatic Fat Predict Metabolic States in Individuals without Cardiovascular Disease

Gutmann, D. A. P., Rospleszcz, S., Rathmann, W., Schlett, C. L., Peters, A., Wachinger, C., Gatidis, S. & Bamberg, F., Nov 2021, In: Academic Radiology. 28, p. S1-S10

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Scalable, Axiomatic Explanations of Deep Alzheimer’s Diagnosis from Heterogeneous Data

Pölsterl, S., Aigner, C. & Wachinger, C., 2021, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 - 24th International Conference, Proceedings. de Bruijne, M., Cattin, P. C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y. & Essert, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 434-444 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12903 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access

6 Scopus citations

Semi-Structured Deep Piecewise Exponential Models

Kopper, P., Pölsterl, S., Wachinger, C., Bischl, B., Bender, A. & Rügamer, D., 2021, In: Proceedings of Machine Learning Research. 146, p. 40-53 14 p.

Research output: Contribution to journal › Conference article › peer-review

14 Scopus citations

STRUDEL: Self-training with Uncertainty Dependent Label Refinement Across Domains

Gröger, F., Rickmann, A. M. & Wachinger, C., 2021, Machine Learning in Medical Imaging - 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Proceedings. Lian, C., Cao, X., Rekik, I., Xu, X. & Yan, P. (eds.). Springer Science and Business Media Deutschland GmbH, p. 306-316 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12966 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access

1 Scopus citations

TransforMesh: A Transformer Network for Longitudinal Modeling of Anatomical Meshes

for the Alzheimer’s Disease Neuroimaging, 2021, Machine Learning in Medical Imaging - 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Proceedings. Lian, C., Cao, X., Rekik, I., Xu, X. & Yan, P. (eds.). Springer Science and Business Media Deutschland GmbH, p. 209-218 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12966 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access

9 Scopus citations

2020

A wide and deep neural network for survival analysis from anatomical shape and tabular clinical data

Pölsterl, S., Sarasua, I., Gutiérrez-Becker, B. & Wachinger, C., 2020, Machine Learning and Knowledge Discovery in Databases - International Workshops of ECML PKDD 2019, Proceedings. Cellier, P. & Driessens, K. (eds.). Springer, p. 453-464 12 p. (Communications in Computer and Information Science; vol. 1167 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access

20 Scopus citations

Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers

Senapati, J., Roy, A. G., Pölsterl, S., Gutmann, D., Gatidis, S., Schlett, C., Peters, A., Bamberg, F. & Wachinger, C., 2020, Machine Learning in Medical Imaging - 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Proceedings. Liu, M., Lian, C., Yan, P. & Cao, X. (eds.). Springer Science and Business Media Deutschland GmbH, p. 270-280 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12436 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access

5 Scopus citations

Importance Driven Continual Learning for Segmentation Across Domains

Özgün, S., Rickmann, A. M., Roy, A. G. & Wachinger, C., 2020, Machine Learning in Medical Imaging - 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Proceedings. Liu, M., Lian, C., Yan, P. & Cao, X. (eds.). Springer Science and Business Media Deutschland GmbH, p. 423-433 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12436 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access