Peter Maass

6PUBLICATIONS
24CO-AUTHORS
Natural language processingCancer diagnosisSemi- and unsupervised learningDeep learning
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Publications (6)

|Oct 14, 2024
Enhancing the analysis of murine neonatal ultrasonic vocalizations: Development, evaluation, and application of different mathematical models.

Rudolf Herdt, Louisa Kinzel, Johann Georg Maaß

|Dec 23, 2022
Multimodal Lung Cancer Subtyping Using Deep Learning Neural Networks on Whole Slide Tissue Images and MALDI MSI.

Charlotte Janßen, Tobias Boskamp, Jean Le'Clerc Arrastia

|Jul 25, 2022
StainCUT: Stain Normalization with Contrastive Learning.

José Carlos Gutiérrez Pérez, Daniel Otero Baguer, Peter Maass

|Nov 25, 2021
Conditional Invertible Neural Networks for Medical Imaging.

Alexander Denker, Maximilian Schmidt, Johannes Leuschner

|Aug 30, 2021
Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications.

Johannes Leuschner, Maximilian Schmidt, Poulami Somanya Ganguly

|Aug 30, 2021
Deeply Supervised UNet for Semantic Segmentation to Assist Dermatopathological Assessment of Basal Cell Carcinoma.

Jean Le'Clerc Arrastia, Nick Heilenkötter, Daniel Otero Baguer

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