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Statistical models of 3D human shape and pose learned from scan databases have developed into valuable tools to solve a variety of vision and graphics problems. Unfortunately, most publicly available models are of limited expressiveness as…

Computer Vision and Pattern Recognition · Computer Science 2017-03-07 Leonid Pishchulin , Stefanie Wuhrer , Thomas Helten , Christian Theobalt , Bernt Schiele

Cochlear Implant (CI) surgery treats severe hearing loss by inserting an electrode array into the cochlea to stimulate the auditory nerve. An important step in this procedure is mastoidectomy, which removes part of the mastoid region of the…

Computer Vision and Pattern Recognition · Computer Science 2026-01-12 Yike Zhang , Eduardo Davalos , Dingjie Su , Ange Lou , Jack Noble

Abundant accumulation of digital histopathological images has led to the increased demand for their analysis, such as computer-aided diagnosis using machine learning techniques. However, digital pathological images and related tasks have…

Computer Vision and Pattern Recognition · Computer Science 2018-02-23 Daisuke Komura , Shumpei Ishikawa

Objective: In this review, we aim to provide an analysis of current cardiac ablation techniques, such as radiofrequency ablation (RF), cryoablation, and pulsed-field ablation (PFA), with a focus on the role of computational modeling in…

This paper presents new mappings of 2D and 3D geometrical transformation on the MorphoSys (M1) reconfigurable computing (RC) prototype [2]. This improves the system performance as a graphics accelerator [1-5]. Three algorithms are mapped…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-04-30 Issam Damaj , Suhaib Majzoub , Hassan Diab

To date, the simulation of organ deformations for applications like therapy planning or image-guided interventions is calculated by solving the elastodynamics equations. While efficient solvers have been proposed for fast simulations,…

Quantitative Methods · Quantitative Biology 2018-12-18 Felix Meister , Tiziano Passerini , Viorel Mihalef , Ahmet Tuysuzoglu , Andreas Maier , Tommaso Mansi

Computer-aided surgical simulation is a critical component of orthognathic surgical planning, where accurately simulating face-bone shape transformations is significant. The traditional biomechanical simulation methods are limited by their…

Computer Vision and Pattern Recognition · Computer Science 2025-08-21 Runshi Zhang , Bimeng Jie , Yang He , Junchen Wang

This work proposes a framework for the patient-specific characterization of the spine, which integrates information on the tissues with geometric information on the spine morphology. Key elements are the extraction of 3D patient-specific…

Graphics · Computer Science 2022-08-19 Martina Paccini , Giuseppe Patanè , Michela Spagnuolo

Medical imaging modalities have revolutionized health-care approaches by offering a better understanding of the human anatomy. Discovery of x-rays allowed the exploiting of the micro-scaled information of human anatomy. Computed tomography…

Medical Physics · Physics 2018-09-18 Sanam Assili

This paper describes a simulator of ultrasound-guided prostate biopsies for cancer diagnosis. When performing biopsy series, the clinician has to move the ultrasound probe and to mentally integrate the real-time bi-dimensional images into a…

Robotics · Computer Science 2009-02-10 Stefano Sclaverano , Grégoire Chevreau , Lucile Vadcard , Pierre Mozer , Jocelyne Troccaz

Tissue manipulation is a frequently used fundamental subtask of any surgical procedures, and in some cases it may require the involvement of a surgeon's assistant. The complex dynamics of soft tissue as an unstructured environment is one of…

Noninvasive optical imaging modalities can probe patient's tissue in 3D and over time generate gigabytes of clinically relevant data per sample. There is a need for AI models to analyze this data and assist clinical workflow. The lack of…

Virtual models are important for training and teaching tools used in medical imaging research. We introduce a workflow that can be used to convert volumetric medical imaging data (as generated by Computer Tomography (CT)) to computer-based…

Medical Physics · Physics 2024-02-05 Kaustav Bora , Adarsh Mishra , CS Kumar

Computer Aided Detection (CAD) is a valuable technique for precisely interpreting medical images and it has a global business opportunity of about USD 1.8 billion. The current aspects with reference to the four sub stages such as image…

Image and Video Processing · Electrical Eng. & Systems 2020-10-01 Roshan P. Mathews , Greeta Mathews

We present an ongoing project that aims to develop a social robot to help children cope with painful and distressing medical procedures in a clinical setting. Our approach uses automated planning as a core component for action selection in…

Robotics · Computer Science 2022-10-19 Alan Lindsay , Andres Ramirez-Duque , Ronald P. A. Petrick , Mary Ellen Foster

Imaging modalities provide clinicians with real-time visualization of anatomical regions of interest (ROI) for the purpose of minimally invasive surgery. During the procedure, low-resolution image data are acquired and registered with…

Medical Physics · Physics 2020-11-10 Haolin Liu , Ye Han , Daniel Emerson , Houriyeh Majditehran , Qi Wang , Yoed Rabin , Levent Burak Kara

Computer-aided methods have shown added value for diagnosing and predicting brain disorders and can thus support decision making in clinical care and treatment planning. This chapter will provide insight into the type of methods, their…

Flat panel computed tomography is used intraoperatively to assess the result of surgery. Due to workflow issues, the acquisition typically cannot be carried out in such a way that the axis aligned multiplanar reconstructions (MPR) of the…

Image and Video Processing · Electrical Eng. & Systems 2020-07-08 Celia Martín Vicario , Florian Kordon , Felix Denzinger , Markus Weiten , Sarina Thomas , Lisa Kausch , Jochen Franke , Holger Keil , Andreas Maier , Holger Kunze

The latest advances in computer-assisted precision medicine are making it feasible to move from population-wide models that are useful to discover aggregate patterns that hold for group-based analysis to patient-specific models that can…

Computer Vision and Pattern Recognition · Computer Science 2021-07-28 Da Ma , Vincent Chow , Karteek Popuri , Mirza Faisal Beg

Non-invasive brain imaging techniques allow understanding the behavior and macro changes in the brain to determine the progress of a disease. However, computational pathology provides a deeper understanding of brain disorders at cellular…

Image and Video Processing · Electrical Eng. & Systems 2023-01-18 Gabriel Jimenez , Daniel Racoceanu
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