Area of research
Artificial Intelligence · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Mass spectrometry, Medicine, Biology, Mass spectrometry imaging, Subtyping, and Tumor microenvironment.
Diagnostic whole transcriptome sequencing in a series of 1233 FFPE solid tumor samples
Implementation of deep learning in liver pathology optimizes diagnosis of benign lesions and adenocarcinoma metastasis
Drug‐microenvironment perturbations reveal resistance mechanisms and prognostic subgroups in CLL
Deep Learning in Pancreatic Tissue: Identification of Anatomical Structures, Pancreatic Intraepithelial Neoplasia, and Ductal Adenocarcinoma
Combinatorial drug-microenvironment interaction mapping reveals cell-extrinsic drug resistance mechanisms and clinically relevant patient subgroups in CLL
Mass Spectrometry Imaging for Reliable and Fast Classification of Non-Small Cell Lung Cancer Subtypes
Mass Spectrometry Imaging Differentiates Chromophobe Renal Cell Carcinoma and Renal Oncocytoma with High Accuracy
Systematic Investigation of Microenvironmental Drug Resistance Mechanisms in Chronic Lymphocytic Leukemia
Combined Immunohistochemistry after Mass Spectrometry Imaging for Superior Spatial Information
Identification of MALDI Imaging Proteolytic Peptides Using LC‐MS/MS‐Based Biomarker Discovery Data: A Proof of Concept
In MALDI–Mass Spectrometry Imaging on Formalin‐Fixed Paraffin‐Embedded Tissue Specimen Section Thickness Significantly Influences <i>m/z</i> Peak Intensity