Raman-Spectroscopy Based Cell Identification on a Microhole Array Chip. - Ute Neugebauer; Christian M. Kurz; Thomas Bocklitz; Tina Berger; Thomas Velten; Joachim H. Clement; Christoph Krafft; Jürgen Popp (Micromachines, 2014)

Leukocyte subtypes classification by means of image processing. - Oleg Ryabchykov; Anuradha Ramoji; Thomas Bocklitz; Martin Foerster; Stefan Hagel; Claus Kroegel; Michael Bauer; Ute Neugebauer; Jürgen Popp (FedCSIS, 2016)

Understanding of Non-linear Parametric Regression and Classification Models: A Taylor Series based Approach. - Thomas Bocklitz (ICPRAM, 2019)

Semantic Segmentation of Non-linear Multimodal Images for Disease Grading of Inflammatory Bowel Disease: A SegNet-based Application. - Pranita Pradhan; Tobias Meyer; Michael Vieth; Andreas Stallmach; Maximilian Waldner; Michael Schmitt; Jürgen Popp; Thomas Bocklitz (ICPRAM, 2019)

Predictive Modeling of Antibiotic Susceptibility in E. Coli Strains Using the U-Net Network and One-Class Classification. - Nairveen Ali; Johanna Kirchhoff; Patrick Igoche Onoja; Astrid Tannert; Ute Neugebauer; Jürgen Popp; Thomas Bocklitz (IEEE Access, 2020)

Data Fusion of Histological and Immunohistochemical Image Data for Breast Cancer Diagnostics using Transfer Learning. - Pranita Pradhan; Katharina Köhler; Shuxia Guo; Olga Rosin; Jürgen Popp; Axel Niendorf; Thomas Bocklitz (ICPRAM, 2021)

A Multimodal Image Registration System for Histology Images. - Rodrigo Escobar Díaz Guerrero; Yubraj Gupta; Thomas Bocklitz; José Luís Oliveira (CBMS, 2023)

Agnostic eXplainable Artificial Intelligence (XAI) Method Based on Volterra Series. - Jhonatan Contreras; Thomas Bocklitz (ICPRAM, 2023)

Sample Size Estimation of Transfer Learning for Colorectal Cancer Detection. - Ruihao Luo; Shuxia Guo; Thomas Bocklitz (ICPRAM, 2024)

A Systematic Investigation of Image Pre-Processing on Image Classification. - Pegah Dehbozorgi; Oleg Ryabchykov; Thomas Bocklitz (IEEE Access, 2024)

MMIR: an open-source software for the registration of multimodal histological images. - Rodrigo Escobar Díaz Guerrero; José Luís Oliveira; Jürgen Popp; Thomas Bocklitz (BMC Medical Informatics Decis. Mak., 2024)

A comparative study of statistical, radiomics, and deep learning feature extraction techniques for medical image classification in optical and radiological modalities. - Pegah Dehbozorgi; Oleg Ryabchykov; Thomas Bocklitz (Comput. Biol. Medicine, 2025)

Transfer-Learning Deep Raman Models Using Semiempirical Quantum Chemistry. - Jawad Kamran; Julian Hniopek; Thomas Bocklitz (J. Chem. Inf. Model., 2025)

Machine Learning-Based Estimation of Experimental Artifacts and Image Quality in Fluorescence Microscopy. - Elena Corbetta; Thomas Bocklitz (Adv. Intell. Syst., 2025)

ChemRxivQuest: A Curated Chemistry Question-Answer Database Extracted from ChemRxiv Preprints. - Mahmoud Amiri; Thomas Bocklitz (CoRR, 2025)

Chunk Twice, Embed Once: A Systematic Study of Segmentation and Representation Trade-offs in Chemistry-Aware Retrieval-Augmented Generation. - Mahmoud Amiri; Thomas Bocklitz (CoRR, 2025)