Sebastiano Caprara

Automated Pipeline to Generate Anatomically Accurate Patient-Specific Biomechanical Models of Healthy and Pathological FSUs

M. Farshad, J. Snedeker, M. Senteler, 2021, Frontiers in Bioengineering and Biotechnology.

Spinal sagittal alignment goals based on statistical modelling and musculoskeletal simulations.

M. Farshad, J. Snedeker, G. Moschini, 2020, Journal of biomechanics.

Shear-stress sensing by PIEZO1 regulates tendon stiffness in rodents and influences jumping performance in humans

Kim David Ferrari, B. Weber, K. Silbernagel, 2021, Nature Biomedical Engineering.

Bone density optimized pedicle screw instrumentation improves screw pull-out force in lumbar vertebrae

M. Farshad, J. Snedeker, M. Senteler, 2021, Computer methods in biomechanics and biomedical engineering.

Shear sensor mechano-signaling determines tendon stiffness and human jumping performance

Kim David Ferrari, B. Weber, K. Silbernagel, 2020 .

Patient-specific statistical shape modeling for optimal spinal sagittal alignment in lumbar spinal fusion

M. Farshad, M. Senteler, F. Wanivenhaus, 2021, European Spine Journal.

High-Resolution Segmentation of Lumbar Vertebrae from Conventional Thick Slice MRI

Ender Konukoglu, Gustav Bredell, Reto Sutter, 2021, MICCAI.

Uncertainty modeling for fine-tuned implicit functions

E. Konukoglu, Natavsa Tagasovska, Sebastiano Caprara, 2024, 2406.12082.

Development of a cloud framework for training and deployment of deep learning models in radiology: automatic segmentation of the human spine from CT-scans as a case-study

Sebastiano Caprara, Rui Santos, Nicholas Bünger, 2024, medRxiv.