T. Boskamp

发表

A new classification method for MALDI imaging mass spectrometry data acquired on formalin-fixed paraffin-embedded tissue samples.

R. Casadonte, M. Kriegsmann, J. Kriegsmann, 2017, Biochimica et biophysica acta. Proteins and proteomics.

Deep learning for tumor classification in imaging mass spectrometry

Christian Etmann, Peter Maass, Jens Behrmann, 2017, Bioinform..

Deep Relevance Regularization: Interpretable and Robust Tumor Typing of Imaging Mass Spectrometry Data pdf

Christian Etmann, Peter Maass, Maximilian Schmidt, 2019, ArXiv.

New vessel analysis tool for morphometric quantification and visualization of vessels in CT and MR imaging data sets.

T. Boskamp, F. Link, P. Mildenberger, 2004, Radiographics : a review publication of the Radiological Society of North America, Inc.

New techniques in CT angiography.

Ernst Klotz, Michael Uder, Michael M Lell, 2006, Radiographics : a review publication of the Radiological Society of North America, Inc.

An approach to optimize sample preparation for MALDI imaging MS of FFPE sections using fractional factorial design of experiments

Andrew D. Palmer, T. Boskamp, Delf Lachmund, 2016, Analytical and Bioanalytical Chemistry.

Classification of Inflammatory Bowel Disease from Formalin‐Fixed, Paraffin‐Embedded Tissue Biopsies via Imaging Mass Spectrometry

T. Boskamp, S. Hollerbach, A. Wellmann, 2020, Proteomics. Clinical applications.

Robust subtyping of non‐small cell lung cancer whole sections through MALDI mass spectrometry imaging

Jens Behrmann, R. Casadonte, M. Kriegsmann, 2022, Proteomics. Clinical applications.

A software tool for the combined analysis of angiographic and perfusion MRI datasets for an optimized diagnosis of Coronary Artery Disease

H. Peitgen, T. Boskamp, A. Hennemuth, 2007 .

Signal Correction in NMR Spectroscopy

H. Peitgen, T. Boskamp, Peter Singer, 2003 .

Multimodal Lung Cancer Subtyping Using Deep Learning Neural Networks on Whole Slide Tissue Images and MALDI MSI

R. Casadonte, M. Kriegsmann, J. Kriegsmann, 2022, Cancers.

Robust vessel segmentation

Heinz-Otto Peitgen, Caroline Kühnel, Tobias Boskamp, 2008, SPIE Medical Imaging.

Geometrical and Structural Analysis of Vessel Systems in 3D Medical Image Datasets

Bernhard Preim, Horst K. Hahn, Stephan Zidowitz, 2004 .

Spatial probabilistic mapping of metabolite ensembles in mass spectrometry imaging

T. Boskamp, I. Wolf, C. Hopf, 2021, bioRxiv.

Multi-Dimensional Computed Cardiac Visualization

Anja Hennemuth, Peter M. A. van Ooijen, A. Broekema, 2009 .

Medical image analysis

Heinz-Otto Peitgen, Felix Ritter, Florian Link, 1999, Medical Image Anal..

Targeted Feature Extraction in MALDI Mass Spectrometry Imaging to Discriminate Proteomic Profiles of Breast and Ovarian Cancer

Dennis Trede, Janina Oetjen, Peter Maass, 2019, Proteomics. Clinical applications.

Cross-Normalization of MALDI Mass Spectrometry Imaging Data Improves Site-to-Site Reproducibility.

R. Casadonte, S. Deininger, J. Kriegsmann, 2021, Analytical chemistry.

Using the chemical noise background in MALDI mass spectrometry imaging for mass alignment and calibration.

J. H. Kobarg, R. Casadonte, J. Kriegsmann, 2019, Analytical chemistry.

Multicenter Evaluation of Tissue Classification by Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging.

R. Casadonte, M. Kriegsmann, S. Deininger, 2022, Analytical chemistry.

Deeply Supervised UNet for Semantic Segmentation to Assist Dermatopathological Assessment of Basal Cell Carcinoma

Jean Le'Clerc Arrastia, T. Boskamp, P. Maass, 2021, J. Imaging.

Supervised non-negative matrix factorization methods for MALDI imaging applications

Pascal Fernsel, Peter Maass, Tobias Boskamp, 2018, Bioinform..

Evaluation of Active Appearance Models for Cardiac MRI

Heinz-Otto Peitgen, Anja Hennemuth, Heinrich Müller, 2006, Bildverarbeitung für die Medizin.

Peak detection for MALDI mass spectrometry imaging data using sparse frame multipliers

Hans-Georg Stark, Florian Lieb, Tobias Boskamp, 2019, Journal of proteomics.

Enhanced cardiovascular image analysis by combined representation of results from dynamic MRI and anatomic CTA

Heinz-Otto Peitgen, Steffen Oeltze-Jafra, Anja Hennemuth, 2008, SPIE Medical Imaging.

CT angiography of peripheral arterial bypass grafts: Accuracy and time-effectiveness of quantitative image analysis with an automated software tool.

Simon Wildermuth, Borut Marincek, Hatem Alkadhi, 2006, Academic radiology.

Automatic Ascending Aorta Detection in CTA Datasets

Philippe C. Cattin, Gábor Székely, Caroline Kühnel, 2008, Bildverarbeitung für die Medizin.

Wavelet versus JPEG (Joint Photographic Expert Group) and fractal compression. Impact on the detection of low-contrast details in computed radiographs.

T Liebig, J Ricke, H Amthauer, 1998, Investigative radiology.

Improved Mass Calibration in MALDI MSI Using Neural Network-Based Recalibration

T. Boskamp, Alexander Denker, Jens Behrmann, 2024, Analytical chemistry.

One-click coronary tree segmentation in CT angiographic images

Heinz-Otto Peitgen, Anja Hennemuth, Dominik Fritz, 2005 .