Deformable Models in Medical Image Segmentation. - Matthias Becker 003; Nadia Magnenat-Thalmann (3D Multiscale Physiological Human, 2014)

Muscle tissue labeling of human lower extremities in multi-channel mDixon MR imaging: Concepts and applications. - Matthias Becker 003; Nadia Magnenat-Thalmann (BIBM, 2014)

Open framework for management and processing of multi-modality and multidimensional imaging data for analysis and modelling muscular function. - David García Juan; Bénédicte M. A. Delattre; Sara Trombella; Sean Dean Lynch; Matthias Becker 003; Hon Fai Choi; Osman Ratib (Image-Guided Procedures, 2014)

Multimodal composition of the digital patient: a strategy for the knee articulation. - Hon Fai Choi; Andra Chincisan; Matthias Becker 003; Nadia Magnenat-Thalmann (Vis. Comput., 2014)

Development of a reliable method for orbit segmentation & measuring. - Matthias Becker 003; Karl-Ingo Friese; Franz-Erich Wolter; Nils-Claudius Gellrich; Harald Essig (MeMeA, 2015)

Coupling strategies for multi-resolution deformable meshes: expanding the pyramid approach beyond its one-way nature. - Matthias Becker 003; Niels A. Nijdam; Nadia Magnenat-Thalmann (Int. J. Comput. Assist. Radiol. Surg., 2016)

A computational approach to calculate personalized pennation angle based on MRI: effect on motion analysis. - Andra Chincisan; Karelia Tecante; Matthias Becker 003; Nadia Magnenat-Thalmann; Christof Hurschler; Hon Fai Choi (Int. J. Comput. Assist. Radiol. Surg., 2016)

Model-based segmentation in orbital volume measurement with cone beam computed tomography and evaluation against current concepts. - Maximilian E. H. Wagner; Nils-Claudius Gellrich; Karl-Ingo Friese; Matthias Becker 003; Franz-Erich Wolter; Juergen T. Lichtenstein; Marcus Stoetzer; Majeed Rana; Harald Essig (Int. J. Comput. Assist. Radiol. Surg., 2016)

Efficient extraction of musculoskeletal structures from multi-channel MR images. - Matthias Becker 003 (2016)

Muscle Tissue Labeling of Human Lower Limb in Multi-Channel mDixon MR Imaging: Concepts and Applications. - Matthias Becker 003; Nadia Magnenat-Thalmann (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Accelerated Genomics Data Processing using Memory-Driven Computing. - Matthias Becker 003; Hartmut Schultze; Thomas Ulas; Sharad Singhal; Joachim L. Schultze; Milind Chabbi; Stefanie Warnat-Herresthal; Umesh Worlikar; Shobhit Agrawal; Jaydeep Bhat; Jonas Schulte-Schrepping; Kevin E. Bassler; et al. (BIBM, 2019)

Scaling Genomics Data Processing with Memory-Driven Computing to Accelerate Computational Biology. - Matthias Becker 003; Umesh Worlikar; Shobhit Agrawal; Hartmut Schultze; Thomas Ulas; Sharad Singhal; Joachim L. Schultze (ISC, 2020)

hCoCena: horizontal integration and analysis of transcriptomics datasets. - Marie Oestreich; Lisa Holsten; Shobhit Agrawal; Kilian Dahm; Philipp Koch; Han Jin; Matthias Becker 003; Thomas Ulas (Bioinform., 2022)

Towards Biologically Plausible and Private Gene Expression Data Generation. - Dingfan Chen; Marie Oestreich; Tejumade Afonja; Raouf Kerkouche; Matthias Becker 003; Mario Fritz (CoRR, 2024)

LLM4GRN: Discovering Causal Gene Regulatory Networks with LLMs - Evaluation through Synthetic Data Generation. - Tejumade Afonja; Ivaxi Sheth; Ruta Binkyte; Waqar Hanif; Thomas Ulas; Matthias Becker 003; Mario Fritz (CoRR, 2024)

Small molecule autoencoders: architecture engineering to optimize latent space utility and sustainability. - Marie Oestreich; Iva Ewert; Matthias Becker 003 (J. Cheminformatics, 2024)

DrugDiff: small molecule diffusion model with flexible guidance towards molecular properties. - Marie Oestreich; Erinc Merdivan; Michael Lee; Joachim L. Schultze; Marie Piraud; Matthias Becker 003 (J. Cheminformatics, 2025)