A5065432808- Surgical Simulation and Training
- Anatomy and Medical Technology
- Brain Tumor Detection and Classification
- Medical Imaging and Analysis
- Augmented Reality Applications
- Radiomics and Machine Learning in Medical Imaging
- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
- Cell Image Analysis Techniques
- Medical Image Segmentation Techniques
- Artificial Intelligence in Healthcare and Education
- Digital Imaging in Medicine
- Reconstructive Surgery and Microvascular Techniques
- Medical Imaging Techniques and Applications
- Gaze Tracking and Assistive Technology
- Advanced X-ray and CT Imaging
- Radiation Dose and Imaging
- Scientific Computing and Data Management
- Cancer survivorship and care
- Time Series Analysis and Forecasting
- Advanced Computing and Algorithms
- Advanced Radiotherapy Techniques
- Machine Learning in Healthcare
- Colorectal Cancer Surgical Treatments
- Topic Modeling
Graz University of Technology
2023-2025
Essen University Hospital
2023-2025
Computer Algorithms for Medicine
2023-2025
Artificial Intelligence in Medicine (Canada)
2023-2025
Institut für Medizinische Informatik, Biometrie und Epidemiologie
2023-2024
Radboud University Nijmegen
2020
Radboud University Medical Center
2020
University Medical Center
2020
In this article, we present a brain tumor database collection comprising 23,049 samples, with each sample including four different types of MRI scans: FLAIR, T1, T1ce, and T2. Additionally, one or two segmentation masks (ground truth) are provided for sample. The first mask is the raw output from registration process all while second mask, particularly synthetic post-processed version first, designed to simplify interpretation optimize it network training. These samples have been acquired...
DeepSeek, a Chinese artificial intelligence company, released its first free chatbot app based on DeepSeek-R1 model. DeepSeek provides models, algorithms, and training details to ensure transparency reproducibility. Their new model is trained with reinforcement learning, allowing it learn through interactions feedback rather than relying solely supervised learning. Reports showcase that DeepSeek's shows competitive performances against established large language models (LLMs) such as...
Abstract Since its release at the end of 2022, ChatGPT has seen a tremendous rise in attention, not only from general public, but also medical researchers and healthcare professionals. definitely changed way we can communicate now with computers. We still remember limitations (voice) assistants, like Alexa or Siri, that were “overwhelmed” by follow-up question after asking about weather, to mention even more complex questions, which they could handle all. other Large Language Models (LLMs)...
The availability of computational hardware and developments in (medical) machine learning (MML) increases medical mixed realities' (MMR) clinical usability. Medical instruments have played a vital role surgery for ages. To further accelerate the implementation MML MMR, three-dimensional (3D) datasets should be publicly available. proposed data collection consists 103, 3D-scanned from routine, scanned with structured light scanners. consists, example, instruments, like retractors, forceps,...
At the Worldwide Developers Conference in June 2023, Apple introduced Vision Pro. The Pro (AVP) is a mixed reality headset; more specifically, it virtual device with an additional video see-through capability. capability turns AVP into augmented (AR) device. AR feature enabled by streaming real world via cameras on (virtual reality) screens front of user’s eyes. This is, course, not unique and similar to other devices, such as Varjo XR-3 (Varjo Technologies Oy). Nevertheless, has some...
Abstract Objectives The shape is commonly used to describe the objects. State-of-the-art algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit surface models used. This seen growing popularity of ShapeNet (51,300 models) Princeton ModelNet (127,915 models). However, a large collection anatomical shapes (e.g., bones, organs, vessels) 3D surgical instruments missing. Methods We present MedShapeNet translate...
Prior to the deep learning era, shape was commonly used describe objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit surface models used. This is seen numerous shape-related publications premier vision conferences as well growing popularity of ShapeNet (about 51,300 models) Princeton ModelNet (127,915 models). For domain, we present a large collection anatomical shapes...
During a deep inferior epigastric perforator (DIEP) flap harvest, the identification and localization of arteries its perforators are crucial. Holographic augmented reality is an innovative technique that can be used to visualize this patient-specific anatomy extracted from computed tomographic scan directly on patient. This study describes workflow achieve this.A software application for Microsoft HoloLens was developed as hologram. By using abdominal nevi natural landmarks, hologram...
Medical imaging faces challenges such as limited spatial resolution, interference from electronic noise and poor contrast-to-noise ratios. Photon Counting Computed Tomography (PCCT) has emerged a solution, addressing these issues with its innovative technology. This review delves into the recent developments applications of PCCT in pre-clinical research, emphasizing potential to overcome traditional limitations. For example demonstrated remarkable efficacy improving detection subtle...
Abstract In recent years, 3D printing (3DP) has gained importance in various fields. This technology numerous applications, particularly medicine. contribution provides an overview on the state of art 3DP medicine and showcases its current use different medical disciplines for education. this meta-review, we provide a detailed listing systematic reviews topic as become increasingly applied modern We identified 134 relevant search engine PubMed until 2023. applications specialties, but is...
Unstructured data in industries such as healthcare, finance, and manufacturing presents significant challenges for efficient analysis decision making. Detecting patterns within this understanding their impact is critical but complex without the right tools. Traditionally, these tasks relied on expertise of analysts or labor-intensive manual reviews. In response, we introduce Spacewalker, an interactive tool designed to explore annotate across multiple modalities. Spacewalker allows users...
This paper presents the second-placed solution for task 8 and participation 7 of BraTS 2024. The adoption automated brain analysis algorithms to support clinical practice is increasing. However, many these struggle with presence lesions or absence certain MRI modalities. alterations in brain's morphology leads high variability thus poor performance predictive models that were trained only on healthy brains. lack information usually provided by some missing modalities also reduces reliability...
Radiation therapy (RT) is essential in treating head and neck cancer (HNC), with magnetic resonance imaging(MRI)-guided RT offering superior soft tissue contrast functional imaging. However, manual tumor segmentation time-consuming complex, therfore remains a challenge. In this study, we present our solution as team TUMOR to the HNTS-MRG24 MICCAI Challenge which focused on automated of primary gross volumes (GTVp) metastatic lymph node volume (GTVn) pre-RT mid-RT MRI images. We utilized...