Wachinger, Christian

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., et al. (2019) · arXiv

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 1,412

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., et al. (2023) · Medical Image Analysis

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 1,412

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., et al. (2022) · Nature Communications

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 1,384

Concurrent Spatial and Channel ‘Squeeze & Excitation’ in Fully Convolutional Networks

Roy, A. G., Navab, N., & Wachinger, C. (2018) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsMedical Image Segmentation Techniques

Cited by 869

Recalibrating Fully Convolutional Networks With Spatial and Channel “Squeeze and Excitation” Blocks

Roy, A. G., Navab, N., & Wachinger, C. (2019) · IEEE Transactions on Medical Imaging

Advanced Neural Network ApplicationsMedical Image Segmentation Techniques

Cited by 534

Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge

Bron, E. E., Smits, M., van der Flier, W. M., Vrenken, H., Barkhof, F., Scheltens, P., Papma, J. M., Steketee, R. M. E., Méndez Orellana, C., Meijboom, R., et al. (2015) · NeuroImage

Dementia and Cognitive Impairment ResearchMedical Image Segmentation Techniques

Cited by 352

BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning

Roy, A. G., Siddiqui, S., Pölsterl, S., Navab, N., & Wachinger, C. (2019) · arXiv

Privacy-Preserving Technologies in DataDomain Adaptation and Few-Shot Learning

Cited by 212

Bayesian QuickNAT: model uncertainty in deep whole-brain segmentation for structure-wise quality control

Roy, A. G., Conjeti, S., Navab, N., & Wachinger, C. (2019) · NeuroImage

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 137

Detect and correct bias in multi-site neuroimaging datasets

Wachinger, C., Rieckmann, A., & Pölsterl, S. (2021) · Medical Image Analysis

Functional Brain Connectivity StudiesAdvanced MRI Techniques and Applications

Cited by 115