61 citations · 334 across the 42 of their papers we have counts for
13 papers · 1 filter
Computational Analysis of Subscapularis Tears and Pectoralis Major Transfers on Muscular Activity
Fabien Péan, Philippe Favre, Orcun Goksel
Muscle transfers are commonly performed to restore joint function after muscle tears. However, there are not many biomechanical studies of muscle transfers, with the available ones…
Influence of Rotator Cuff Integrity on Loading and Kinematics Before and After Reverse Shoulder Arthroplasty
Fabien Péan, Philippe Favre, Orcun Goksel
Reverse Shoulder Arthroplasty (RSA) has become a very common procedure for shoulder joint replacement, even for scenarios where an anatomical reconstruction would traditionally be…
Quantifying Explainers of Graph Neural Networks in Computational Pathology
Guillaume Jaume, Pushpak Pati, Behzad Bozorgtabar +7
Explainability of deep learning methods is imperative to facilitate their clinical adoption in digital pathology. However, popular deep learning methods and explainability techniqu…
Modality Attention and Sampling Enables Deep Learning with Heterogeneous Marker Combinations in Fluorescence Microscopy
Alvaro Gomariz, Tiziano Portenier, Patrick M. Helbling +4
Fluorescence microscopy allows for a detailed inspection of cells, cellular networks, and anatomical landmarks by staining with a variety of carefully-selected markers visualized a…
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification
Pushpak Pati, Guillaume Jaume, Lauren Alisha Fernandes +13
Cancer diagnosis, prognosis, and therapeutic response prediction are heavily influenced by the relationship between the histopathological structures and the function of the tissue.…
Towards Explainable Graph Representations in Digital Pathology
Guillaume Jaume, Pushpak Pati, Antonio Foncubierta-Rodriguez +6
Explainability of machine learning (ML) techniques in digital pathology (DP) is of great significance to facilitate their wide adoption in clinics. Recently, graph techniques encod…
GramGAN: Deep 3D Texture Synthesis From 2D Exemplars
Tiziano Portenier, Siavash Bigdeli, Orcun Goksel
We present a novel texture synthesis framework, enabling the generation of infinite, high-quality 3D textures given a 2D exemplar image. Inspired by recent advances in natural text…
Training Variational Networks with Multi-Domain Simulations: Speed-of-Sound Image Reconstruction
Melanie Bernhardt, Valery Vishnevskiy, Richard Rau +1
Speed-of-sound has been shown as a potential biomarker for breast cancer imaging, successfully differentiating malignant tumors from benign ones. Speed-of-sound images can be recon…
Deep Image Translation for Enhancing Simulated Ultrasound Images
Lin Zhang, Tiziano Portenier, Christoph Paulus +1
Ultrasound simulation based on ray tracing enables the synthesis of highly realistic images. It can provide an interactive environment for training sonographers as an educational t…
Deep Network for Scatterer Distribution Estimation for Ultrasound Image Simulation
Lin Zhang, Valery Vishnevskiy, Orcun Goksel
Simulation-based ultrasound training can be an essential educational tool. Realistic ultrasound image appearance with typical speckle texture can be modeled as convolution of a poi…
Frequency-Dependent Attenuation Reconstruction with an Acoustic Reflector
Richard Rau, Ozan Unal, Dieter Schweizer +2
Attenuation of ultrasound waves varies with tissue composition, hence its estimation offers great potential for tissue characterization and diagnosis and staging of pathology. We r…
Nonlinear Characterization of Tissue Viscoelasticity with Acoustoelastic Attenuation of Shear-Waves
Bhaskara R. Chintada, Richard Rau, Orcun Goksel
Shear-wave elastography (SWE) measures shear-wave speed (SWS), which is related to the underlying shear modulus of soft tissue. SWE methods generally assume that soft tissue viscoe…
Delineating Bone Surfaces in B-Mode Images Constrained by Physics of Ultrasound Propagation
Firat Ozdemir, Christine Tanner, Orcun Goksel
Bone surface delineation in ultrasound is of interest due to its potential in diagnosis, surgical planning, and post-operative follow-up in orthopedics, as well as the potential of…