( en | de | ru )

 

Disambiguation of "Ritter, Kerstin"

Author of the publication

copydeleteadd this publication to your clipboard
Data Augmentation via Partial Nonlinear Registration for Brain-Age Prediction.

, , , , and . MLCN@MICCAI, volume 13596 of Lecture Notes in Computer Science, page 169-178. Springer, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Kerstin Ritter

Alexander Ritter

Eckehardt Ritter

Inge Ritter

Karl Ritter

 

Other publications of authors with the same name

Identifying confounders in deep-learning-based model predictions using DeepRepViz., , , , , and . CoRR, (2023)MRI Image Registration Considerably Improves CNN-Based Disease Classification., , , and . MLCN@MICCAI, volume 13001 of Lecture Notes in Computer Science, page 44-52. Springer, (2021)TLIMB - A Transfer Learning Framework for IMage Analysis of the Brain., , , , , , and . EDBT/ICDT Workshops, volume 3651 of CEUR Workshop Proceedings, CEUR-WS.org, (2024)Visualizing Convolutional Networks for MRI-Based Diagnosis of Alzheimer's Disease., , , , and . MLCN/DLF/iMIMIC@MICCAI, volume 11038 of Lecture Notes in Computer Science, page 24-31. Springer, (2018)Deep neural network heatmaps capture Alzheimer's disease patterns reported in a large meta-analysis of neuroimaging studies., , , , , , and . NeuroImage, (April 2023)Generating 3D TOF-MRA volumes and segmentation labels using generative adversarial networks., , , , , , , , , and 3 other author(s). Medical Image Anal., (2022)Harnessing spatial MRI normalization: patch individual filter layers for CNNs., , , and . CoRR, (2019)Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research., , , , and . CoRR, (2023)Harnessing spatial homogeneity of neuroimaging data: patch individual filter layers for CNNs., , , , and . CoRR, (2020)Benchmark data to study the influence of pre-training on explanation performance in MR image classification., , , , , , and . CoRR, (2023)