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Purpose: Following the clinical success of 177Lu-based therapies, accurate quantification of 177Lu using radionuclide calibrators (RNCs) and SPECT/CT is gaining importance as prerequisite for accurate treatment delivery and dosimetry.…

Synthesizing missing modalities in multi-modal magnetic resonance imaging (MRI) is vital for ensuring diagnostic completeness, particularly when full acquisitions are infeasible due to time constraints, motion artifacts, and patient…

Computer Vision and Pattern Recognition · Computer Science 2026-02-24 Yue Zhang , Zhizheng Zhuo , Siyao Xu , Shan Lv , Zhaoxi Liu , Jun Qiu , Qiuli Wang , Yaou Liu , S. Kevin Zhou

Large Language Models (LLMs) are increasingly demonstrating the potential to reach human-level performance in generating clinical summaries from patient-clinician conversations. However, these summaries often focus on patients' biology…

Magnetic resonance imaging (MRI) has greatly advanced neuroscience research and clinical diagnostics. However, imaging data collected across different scanners, acquisition protocols, or imaging sites often exhibit substantial…

Image and Video Processing · Electrical Eng. & Systems 2026-04-02 Qinqin Yang , Firoozeh Shomal-Zadeh , Ali Gholipour

The ability to estimate 3D human body pose and movement, also known as human pose estimation (HPE), enables many applications for home-based health monitoring, such as remote rehabilitation training. Several possible solutions have emerged…

Computer Vision and Pattern Recognition · Computer Science 2022-10-18 Sizhe An , Yin Li , Umit Ogras

Head and neck cancer (HNC) patients who undergo radiotherapy (RT) may experience anatomical changes during treatment, compromising the validity of the initial treatment plan, necessitating replanning. However, replanning disrupts clinical…

Nuclear magnetism underpins areas such as medicine in magnetic resonance imaging (MRI). Hyperpolarization of nuclei enhances the quantity and quality of information that can be determined from these techniques by increasing their signal to…

Superconductivity · Physics 2025-01-16 John Z. Myers , Kai Buckenmaier , Andrey N. Pravdivtsev , Markus Plaumann , Rainer Körber

Objectives: Analyze the types of studies and algorithms that are most applied, Identify the anatomical regions treated. Determine the application of parallel techniques used in studies carried out between 2010 and 2022 in research on noise…

Image and Video Processing · Electrical Eng. & Systems 2023-01-05 Sussana M. Florez-Aroni , Mijail A. Hancco-Condori , Fred Torres-Cruz

Multidisciplinary team (MDT) consultations are the gold standard for cancer care decision-making, yet current practice lacks structured mechanisms for quantifying consensus and ensuring decision traceability. We introduce a Multi-Agent…

Multiagent Systems · Computer Science 2025-12-17 Xudong Han , Xianglun Gao , Xiaoyi Qu , Zhenyu Yu

Hierarchical random effect models are used for different purposes in clinical research and other areas. In general, the main focus is on population parameters related to the expected treatment effects or group differences among all units of…

Applications · Statistics 2021-04-07 Maryna Prus , Norbert Benda , Rainer Schwabe

Purpose: The balanced steady-state free precession sequence has been previously explored to improve the efficient use of non-recoverable hyperpolarized $^{13}$C magnetization, but suffers from poor spectral selectivity and long acquisition…

How the human brain adjusts fuel handling and its bioenergetic state during changing glucose levels remains difficult to assess noninvasively. In this study, we established an interleaved multinuclear 7 T MR spectroscopy protocol to track a…

Medical Physics · Physics 2026-03-11 Mark Widmaier , Brooke C. Matson , Uzay Emir , Janice J. Hwang

Magnetic resonance imaging (MRI) is essential for nasopharyngeal carcinoma (NPC) radiotherapy (RT), but practical constraints, such as patient discomfort, long scan times, and high costs often lead to incomplete modalities in clinical…

Computer Vision and Pattern Recognition · Computer Science 2026-02-10 Yao Pu , Yiming Shi , Zhenxi Zhang , Peixin Yu , Yitao Zhuang , Xiang Wang , Hongzhao Chen , Jing Cai , Ge Ren

Hyperspectral (HS) imaging presents itself as a non-contact, non-ionizing and non-invasive technique, proven to be suitable for medical diagnosis. However, the volume of information contained in these images makes difficult providing the…

Timely and accurate lymphoma diagnosis is essential for guiding cancer treatment. Standard diagnostic practice combines hematoxylin and eosin (HE)-stained whole slide images with immunohistochemistry, flow cytometry, and molecular genetic…

The lack of standardization is a prominent issue in magnetic resonance (MR) imaging. This often causes undesired contrast variations in the acquired images due to differences in hardware and acquisition parameters. In recent years, image…

One of the distinct characteristics in radiologists' reading of multiparametric prostate MR scans, using reporting systems such as PI-RADS v2.1, is to score individual types of MR modalities, T2-weighted, diffusion-weighted, and dynamic…

Image and Video Processing · Electrical Eng. & Systems 2024-01-23 Wen Yan , Bernard Chiu , Ziyi Shen , Qianye Yang , Tom Syer , Zhe Min , Shonit Punwani , Mark Emberton , David Atkinson , Dean C. Barratt , Yipeng Hu

Nuclear spin hyperpolarization enables real-time observation of metabolism and intermolecular interactions in vivo. 1-13C-Pyruvate is the leading hyperpolarized tracer currently under evaluation in several clinical trials as a promising…

We present Multi-HMR, a strong sigle-shot model for multi-person 3D human mesh recovery from a single RGB image. Predictions encompass the whole body, i.e., including hands and facial expressions, using the SMPL-X parametric model and 3D…

Computer Vision and Pattern Recognition · Computer Science 2024-07-25 Fabien Baradel , Matthieu Armando , Salma Galaaoui , Romain Brégier , Philippe Weinzaepfel , Grégory Rogez , Thomas Lucas