Publications by authors named "Peter Maass"

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Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Medical Image Reconstruction.
Riccardo Barbano, Alexander Denker, Hyungjin Chung, Tae Hoon Roh, Simon Arridge, Peter Maass

IEEE Trans Med Imaging· May 2025

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Enhancing the analysis of murine neonatal ultrasonic vocalizations: Development, evaluation, and application of different mathematical models.
Rudolf Herdt, Louisa Kinzel, Johann Georg Maaß, Marvin Walther, Henning Fröhlich, Peter Maass

J Acoust Soc Am· October 2024

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Deep learning based histological classification of adnex tumors.
Philipp Jansen, Jean Le'Clerc Arrastia, Daniel Otero Baguer, Maximilian Schmidt, Jennifer Landsberg, Peter Maass

Eur J Cancer· January 2024

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Applying an artificial intelligence deep learning approach to routine dermatopathological diagnosis of basal cell carcinoma.
Nicole Duschner, Daniel Otero Baguer, Maximilian Schmidt, Klaus Georg Griewank, Eva Hadaschik, Peter Maass

J Dtsch Dermatol Ges· November 2023

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[Einsatz künstlicher Intelligenz mittels Deep Learning in der dermatopathologischen Routinediagnostik des Basalzellkarzinoms: Applying an artificial intelligence deep learning approach to routine dermatopathological diagnosis of basal cell carcinoma].
Nicole Duschner, Daniel Otero Baguer, Maximilian Schmidt, Klaus Georg Griewank, Eva Hadaschik, Peter Maass

J Dtsch Dermatol Ges· November 2023

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Deep learning detection of melanoma metastases in lymph nodes.
Philipp Jansen, Daniel Otero Baguer, Nicole Duschner, Jean Le'Clerc Arrastia, Maximilian Schmidt, Peter Maass

Eur J Cancer· July 2023

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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, Daniel Otero Baguer, Lena Hauberg-Lotte

Cancers (Basel)· December 2022

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Robust subtyping of non-small cell lung cancer whole sections through MALDI mass spectrometry imaging.
Charlotte Janßen, Tobias Boskamp, Lena Hauberg-Lotte, Jens Behrmann, Sören-Oliver Deininger

Proteomics Clin Appl· July 2022

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StainCUT: Stain Normalization with Contrastive Learning.
José Carlos Gutiérrez Pérez, Daniel Otero Baguer, Peter Maass

J Imaging· July 2022

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Evaluation of a Deep Learning Approach to Differentiate Bowen's Disease and Seborrheic Keratosis.
Philipp Jansen, Daniel Otero Baguer, Nicole Duschner, Jean Le'Clerc Arrastia, Maximilian Schmidt, Peter Maass

Cancers (Basel)· July 2022

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Conditional Invertible Neural Networks for Medical Imaging.
Alexander Denker, Maximilian Schmidt, Johannes Leuschner, Peter Maass

J Imaging· November 2021

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Cross-Normalization of MALDI Mass Spectrometry Imaging Data Improves Site-to-Site Reproducibility.
Tobias Boskamp, Rita Casadonte, Lena Hauberg-Lotte, Sören Deininger, Jörg Kriegsmann, Peter Maass

Anal Chem· August 2021

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LoDoPaB-CT, a benchmark dataset for low-dose computed tomography reconstruction.
Johannes Leuschner, Maximilian Schmidt, Daniel Otero Baguer, Peter Maass

Sci Data· April 2021

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Deeply Supervised UNet for Semantic Segmentation to Assist Dermatopathological Assessment of Basal Cell Carcinoma.
Jean Le'Clerc Arrastia, Nick Heilenkötter, Daniel Otero Baguer, Lena Hauberg-Lotte, Tobias Boskamp, Peter Maass

J Imaging· April 2021

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Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications.
Johannes Leuschner, Maximilian Schmidt, Poulami Somanya Ganguly, Vladyslav Andriiashen, Sophia Bethany Coban, Peter Maass

J Imaging· March 2021

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Singular Values for ReLU Layers.
Soren Dittmer, Emily J King, Peter Maass

IEEE Trans Neural Netw Learn Syst· September 2020

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Using the Chemical Noise Background in MALDI Mass Spectrometry Imaging for Mass Alignment and Calibration.
Tobias Boskamp, Delf Lachmund, Rita Casadonte, Lena Hauberg-Lotte, Jan Hendrik Kobarg, Peter Maass

Anal Chem· January 2020

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Supervised non-negative matrix factorization methods for MALDI imaging applications.
Johannes Leuschner, Maximilian Schmidt, Pascal Fernsel, Delf Lachmund, Tobias Boskamp, Peter Maass

Bioinformatics· June 2019

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Targeted Feature Extraction in MALDI Mass Spectrometry Imaging to Discriminate Proteomic Profiles of Breast and Ovarian Cancer.
Yovany Cordero Hernandez, Tobias Boskamp, Rita Casadonte, Lena Hauberg-Lotte, Janina Oetjen, Peter Maass

Proteomics Clin Appl· January 2019

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3D MALDI mass spectrometry imaging reveals specific localization of long-chain acylcarnitines within a 10-day time window of spinal cord injury.
Jusal Quanico, Lena Hauberg-Lotte, Stephanie Devaux, Zahra Laouby, Celine Meriaux, Peter Maass

Sci Rep· October 2018

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Deep learning for tumor classification in imaging mass spectrometry.
Jens Behrmann, Christian Etmann, Tobias Boskamp, Rita Casadonte, Jörg Kriegsmann

Bioinformatics· April 2018

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A new classification method for MALDI imaging mass spectrometry data acquired on formalin-fixed paraffin-embedded tissue samples.
Tobias Boskamp, Delf Lachmund, Janina Oetjen, Yovany Cordero Hernandez, Dennis Trede, Peter Maass

Biochim Biophys Acta Proteins Proteom· July 2017

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Benchmark datasets for 3D MALDI- and DESI-imaging mass spectrometry.
Janina Oetjen, Kirill Veselkov, Jeramie Watrous, James S McKenzie, Michael Becker, Peter Maass

Gigascience· December 2016

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An approach to optimize sample preparation for MALDI imaging MS of FFPE sections using fractional factorial design of experiments.
Janina Oetjen, Delf Lachmund, Andrew Palmer, Theodore Alexandrov, Michael Becker, Peter Maass

Anal Bioanal Chem· September 2016

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Proteomic Analysis of the Spatio-temporal Based Molecular Kinetics of Acute Spinal Cord Injury Identifies a Time- and Segment-specific Window for Effective Tissue Repair.
Stephanie Devaux, Dasa Cizkova, Jusal Quanico, Julien Franck, Serge Nataf, Peter Maass

Mol Cell Proteomics· August 2016

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