Items where authors include "Maier, A"

Article

Aubreville, M, Stathonikos, N, Bertram, CA et al. (38 more authors) (2023) Mitosis domain generalization in histopathology images — The MIDOG challenge. Medical Image Analysis, 84. 102699. ISSN 1361-8415

Chen, S, Zhong, X, Dorn, S et al. (6 more authors) (2022) Improving Generalization Capability of Multiorgan Segmentation Models Using Dual-Energy CT. IEEE Transactions on Radiation and Plasma Medical Sciences, 6 (1). pp. 79-86. ISSN 2469-7311

Vesal, S, Gu, M, Kosti, R et al. (2 more authors) (2021) Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image Segmentation. IEEE Transactions on Medical Imaging. ISSN 0278-0062

Zhong, X, Amrehn, M, Ravikumar, N et al. (6 more authors) (2021) Deep action learning enables robust 3D segmentation of body organs in various CT and MRI images. Scientific Reports, 11 (1). 3311. ISSN 2045-2322

Xiong, Z, Xia, Q, Hu, Z et al. (41 more authors) (2021) A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging. Medical Image Analysis, 67. 101832. ISSN 1361-8415

Vesal, S, Gu, M, Maier, A et al. (1 more author) (2020) Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification. IEEE Journal of Biomedical and Health Informatics. ISSN 2168-2194

Vesal, S, Maier, A and Ravikumar, N (2020) Fully Automated 3D Cardiac MRI Localisation and Segmentation Using Deep Neural Networks. Journal of Imaging, 6 (7). 65. ISSN 2313-433X

Bayer, S, Zhai, Z, Strumia, M et al. (8 more authors) (2019) Registration of vascular structures using a hybrid mixture model. International Journal of Computer Assisted Radiology and Surgery, 14 (9). pp. 1507-1516. ISSN 1861-6410

Jaremenko, C, Ravikumar, N, Affronti, E et al. (2 more authors) (2019) Determination of Forming Limits in Sheet Metal Forming Using Deep Learning. MATERIALS, 12 (7). ARTN 1051. ISSN 1996-1944

Navab, N, Frangi, AF orcid.org/0000-0002-2675-528X, Wells, W et al. (1 more author) (2016) Editorial for the Special Issue on MICCAI 2015. Medical Image Analysis, 34. pp. 1-2. ISSN 1361-8415

Proceedings Paper

Hatamian, FN, Ravikumar, N, Vesal, S et al. (3 more authors) (2020) The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks. In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 04-08 May 2020, Barcelona, Spain. IEEE , pp. 1264-1268. ISBN 978-1-5090-6632-2

Rodríguez-Salas, D, Ravikumar, N, Seuret, M et al. (1 more author) (2020) ForestNet – Automatic Design of Sparse Multilayer Perceptron Network Architectures Using Ensembles of Randomized Trees. In: Lecture Notes in Computer Science. ACPR 2019: Asian Conference on Pattern Recognition, 26-29 Nov 2019, Auckland, New Zealand. Springer Verlag , pp. 32-45. ISBN 9783030414030

Vesal, S, Ravikumar, N and Maier, A (2020) Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation. In: Lecture Notes in Computer Science. STACOM 2019: Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 12 Oct 2019, Shenzen, China. Springer Verlag , pp. 300-308. ISBN 9783030390730

Bayer, S, Zhong, X, Fu, W et al. (2 more authors) (2020) Imitation Learning Network for Fundus Image Registration Using a Divide-And-Conquer Approach. In: Informatik aktuell. Bildverarbeitung für die Medizin, 15-17 Mar 2020, Berlin, Germany. Springer Vieweg, Wiesbaden , pp. 301-306. ISBN 9783658292669

Denzinger, F, Wels, M, Ravikumar, N et al. (6 more authors) (2019) Coronary Artery Plaque Characterization from CCTA Scans Using Deep Learning and Radiomics. In: Lecture Notes in Computer Science. Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, 13-17 Oct 2019, Shenzen, China. Springer Verlag , pp. 593-601. ISBN 9783030322502

Fu, W, Breininger, K, Schaffert, R et al. (2 more authors) (2019) A Divide-and-Conquer Approach Towards Understanding Deep Networks. In: Lecture Notes in Computer Science. MICCAI 2019: International Conference on Medical Image Computing and Computer-Assisted Intervention, 13-17 Oct 2019, Shenzen, China. Springer Verlag , pp. 183-191. ISBN 9783030322380

Kaiser, N, Fieselmann, A, Vesal, S et al. (4 more authors) (2019) Mammographic breast density classification using a deep neural network: assessment based on inter-observer variability. In: Nishikawa, RM and Samuelson, FW, (eds.) Proceedings of SPIE: Progress in Biomedical Optics and Imaging. SPIE Medical Imaging 2019, 16-21 Feb 2019, San Diego, CA, United States. SPIE . ISBN 9781510625518

Vesal, S, Ravikumar, N and Maier, A (2019) A 2D dilated residual U-net for multi-organ segmentation in thoracic CT. In: Petitjean, C, Ruan, S, Lambert, Z and Dubray, B, (eds.) CEUR Workshop Proceedings. SegTHOR2019: 2019 Challenge on Segmentation of THoracic Organs at Risk in CT Images, 08-11 Apr 2019, Venice, Italy. CEUR Workshop Proceedings .

Vesal, S, Ravikumar, N and Maier, A (2019) Dilated Convolutions in Neural Networks for Left Atrial Segmentation in 3D Gadolinium Enhanced-MRI. In: Pop, M, Sermesant, M, Zhao, J, Li, S, McLeod, K, Young, A, Rhode, K and Mansi, T, (eds.) Lecture Notes in Computer Science. STACOM 2018: 9th Statistical Atlases and Computational Modelling of the Heart Workshop, 16 Sep 2018, Granada, Spain. Springer Verlag , pp. 319-328. ISBN 978-3-030-12028-3

Xu, Y, Schebesch, F, Ravikumar, N et al. (1 more author) (2019) Detection of Unseen Low-Contrast Signals Using Classic and Novel Model Observers. In: Handels, H, Deserno, TM, Maier, A, Maier-Hein, KH, Palm, C and Tolxdorff, T, (eds.) Informatik aktuell. BVM 2019: Bildverarbeitung für die Medizin, 17-19 Mar 2019, Lübeck, Germany. Springer Vieweg , pp. 212-217. ISBN 978-3-658-25325-7

Folle, L, Vesal, S, Ravikumar, N et al. (1 more author) (2019) Dilated Deeply Supervised Networks for Hippocampus Segmentation in MRI. In: Handels, H, Deserno, TM, Maier, A, Maier-Hein, KH, Palm, C and Tolxdorff, T, (eds.) Informatik aktuell. BVM 2019: Bildverarbeitung für die Medizin, 17-19 Mar 2019, Lübeck, Germany. Springer Vieweg , pp. 68-73. ISBN 978-3-658-25325-7

Preuhs, A, Ravikumar, N, Manhart, M et al. (5 more authors) (2019) Maximum Likelihood Estimation of Head Motion Using Epipolar Consistency. In: Handels, H, Deserno, TM, Maier, A, Maier-Hein, KH, Palm, C and Tolxdorff, T, (eds.) Informatik aktuell. BVM 2019: Bildverarbeitung für die Medizin, 17-19 Mar 2019, Lübeck, Germany. Springer Vieweg , pp. 134-139. ISBN 978-3-658-25325-7

Zhong, X, Roser, P, Bayer, S et al. (7 more authors) (2019) Pediatric Patient Surface Model Atlas Generation and X-Ray Skin Dose Estimation. In: Handels, H, Deserno, TM, Maier, A, Maier-Hein, KH, Palm, C and Tolxdorff, T, (eds.) Informatik aktuell. BVM 2019: Bildverarbeitung für die Medizin 2019, 17-19 Mar 2019, Lübeck, Germany. Springer Vieweg , pp. 122-127. ISBN 978-3-658-25325-7

Chen, S, Gehrer, S, Kaliman, S et al. (7 more authors) (2019) Semi-Automatic Cell Correspondence Analysis Using Iterative Point Cloud Registration. In: Handels, H, Deserno, TM, Maier, A, Maier-Hein, KH, Palm, C and Tolxdorff, T, (eds.) Informatik aktuell. BVM 2019: Bildverarbeitung für die Medizin 2019, 17-19 Mar 2019, Lübeck, Germany. Springer Vieweg , pp. 116-121. ISBN 978-3-658-25325-7

Çimen, S, Unberath, M, Frangi, A orcid.org/0000-0002-2675-528X et al. (1 more author) (2017) CoronARe: A Coronary Artery Reconstruction Challenge. In: Lecture Notes in Computer Science, vol 10555. Fifth International Workshop, CMMI 2017, Second International Workshop, RAMBO 2017, and First International Workshop, SWITCH 2017, Held in Conjunction with MICCAI 2017, 14 Sep 2017, Québec City, QC, Canada. Springer Verlag , pp. 96-104. ISBN 978-3-319-67563-3