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101.
Albarqouni, S. et al.: Preface dart 2021. Lect. Notes Comput. Sc. 12968 LNCS, v-vi (2021)
102.
Baltatzis, V.* et al.: The effect of the loss on generalization: Empirical study on synthetic lung nodule data. In: (4th International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2020 and 1st International Workshop on Topological Data Analysis and Its Applications for Medical Data, TDA4MedicalData 2021 held in conjunction, 27 September 2021, Strasbourg). 2021. 56-64 (Lect. Notes Comput. Sc. ; 12929 LNCS)
103.
Baltatzis, V.* et al.: The pitfalls of sample selection: A case study on lung nodule classification. In: (4th International Workshop on Predictive Intelligence in Medicine, PRIME 2021, 1 October 2021, Virtual, Online). 2021. 201-211 (Lect. Notes Comput. Sc. ; 12928 LNCS)
104.
Bdair, T.* ; Navab, N.* & Albarqouni, S.: Peer learning for skin lesion classification. In:. 2021. 336–346 (Lect. Notes Comput. Sc.)
105.
Bdair, T. ; Navab, N.* & Albarqouni, S.: FedPerl: Semi-supervised peer learning for skin lesion classification. In: (24th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2021, 27 September-01 October 2021, Virtual, Online). 2021. 336-346 (Lect. Notes Comput. Sc. ; 12903 LNCS)
106.
Bukas, C. et al.: Patient-specific virtual spine straightening andvertebra inpainting: An automatic framework forosteoplasty planning. In: MICCAI 2021: Medical Image Computing and Computer Assisted Intervention. 2021. 529–539 (Lect. Notes Comput. Sc.)
107.
Bukas, C. et al.: Patient-specific virtual spine straightening and vertebra inpainting: An automatic framework for osteoplasty planning. In: (24th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2021, 27 September-01 October 2021, Virtual, Online). 2021. 529-539 (Lect. Notes Comput. Sc. ; 12904 LNCS)
108.
Dima, A.* et al.: Segmentation of peripancreatic arteries in multispectral computed tomography imaging. In: (12th International Workshop on Machine Learning in Medical Imaging, MLMI 2021, 27 September 2021, Virtual, Online). 2021. 596-605 (Lect. Notes Comput. Sc. ; 12966 LNCS)
109.
Han, X.* ; Zhai, Y.* ; Yu, Z.* ; Peng, T. & Zhang, X.Y.*: Detecting extremely small lesions in mouse brain MRI with point annotations via multi-task learning. In: (12th International Workshop on Machine Learning in Medical Imaging, MLMI 2021, held in conjunction with 24th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2021, 27 September 2021, Virtual, Online). 2021. 498-506 (Lect. Notes Comput. Sc. ; 12966 LNCS)
110.
Rekik, I.* ; Adeli, E.* ; Park, S.H.* & Schnabel, J.A.: Preface. Lect. Notes Comput. Sc. 12928 LNCS, v-vii (2021)
111.
Sadafi, A. et al.: Sickle cell disease severity prediction from percoll gradient images using graph convolutional networks. In: (3rd MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2021, 27 September-01 October 2021, Virtual, Online). 2021. 216-225 (Lect. Notes Comput. Sc. ; 12968 LNCS)
112.
Shahzadi, I.* et al.: Do we need complex image features to personalize treatment of patients with locally advanced rectal cancer? In: (24th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2021, 27 September-01 October 2021, Virtual, Online). 2021. 775-785 (Lect. Notes Comput. Sc. ; 12907 LNCS)
113.
Shit, S.* ; Ezhov, I.* ; Paetzold, J.C. & Menze, B.*: A ν -Net: Automatic detection and segmentation of aneurysm. In: International workshop on Cerebral Aneurysm Detection. 2021. 51-57 (Lect. Notes Comput. Sc. ; 12643 LNCS)
114.
Varela-Salinas, G.* et al.: A binary classification model for toxicity prediction in drug design. In: (16th International Conference on Hybrid Artificial Intelligent Systems, HAIS 202, 22-24 September 2021, Bilbao). 2021. 149-157 (Lect. Notes Comput. Sc. ; 12886 LNAI)
115.
Wagner, S.J.* et al.: Structure-preserving multi-domain stain color augmentation using style-transfer with disentangled representations. In: (24th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2021, 27 September-01 October 2021, Virtual, Online). 2021. 257-266 (Lect. Notes Comput. Sc. ; 12908 LNCS)
116.
Yu, Z.* ; Zhai, Y.* ; Han, X.* ; Peng, T. & Zhang, X.Y.*: MouseGAN: GAN-based multiple MRI modalities synthesis and segmentation for mouse brain structures. In: (MICCAI 2021: Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, 27 September-01 October 2021, Virtual, Online). 2021. 442-450 (Lect. Notes Comput. Sc. ; 12901 LNCS)
117.
Ansari, M. ; Fischer, D.S. & Theis, F.J.: Learning Tn5 sequence bias from ATAC-seq on naked chromatin. Lect. Notes Comput. Sc. 12396 LNCS, 105-114 (2020)
118.
Gerl, S.* et al.: A distance-based loss for smooth and continuous skin layer segmentation in optoacoustic images. Lect. Notes Comput. Sc. 12266 LNCS, 309-319 (2020)
119.
Peng, T. et al.: Background and illumination correction for time-lapse microscopy data with correlated foreground. In:. 2020. 174-183 (Lect. Notes Comput. Sc. ; 12265 LNCS)
120.
Sadafi, A. et al.: Attention based multiple instance learning for classification of blood cell disorders. In:. 2020. 246-256 (Lect. Notes Comput. Sc. ; 12265 LNCS)
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