Literature DB >> 28715317

ITK-SNAP: An Intractive Medical Image Segmentation Tool to Meet the Need for Expert-Guided Segmentation of Complex Medical Images.

Paul A Yushkevich, Guido Gerig.   

Abstract

Imaging is a crucial tool in medicine and biomedical research. Magnetic resonance imaging (MRI), computational tomography (CT), proton emission tomography (PET), and ultrasound are routinely used not only to diagnose disease but also to plan and guide surgical interventions, track disease progression, measure the response of the body to treatment, and understand how genetic and environmental factors relate to anatomical and functional phenotypes.

Mesh：

Year:  2017        PMID： 28715317     DOI： 10.1109/MPUL.2017.2701493

Source DB:  PubMed          Journal:  IEEE Pulse        ISSN： 2154-2287            Impact factor:   0.924


  26 in total

1.  Volumetric analysis of Non-contrast Magnetic Resonance Lymphangiography in patients affected by lower extremities primary lymphedema.

Authors:  Michaela Cellina; Daniele Gibelli; Chiara Floridi; Giancarlo Oliva
Journal:  Radiol Med       Date:  2019-12-17       Impact factor: 3.469

2.  Comparison of bone structure and microstructure in the metacarpal heads between patients with psoriatic arthritis and healthy controls: an HR-pQCT study.

Authors:  D Wu; J F Griffith; S H M Lam; P Wong; J Yue; L Shi; E K Li; I T Cheng; T K Li; V W Hung; L Qin; L-S Tam
Journal:  Osteoporos Int       Date:  2020-01-14       Impact factor: 4.507

3.  Cognitive outcomes in meningioma patients undergoing surgery: individual changes over time and predictors of late cognitive functioning.

Authors:  Sophie J M Rijnen; Ikram Meskal; Marjan Bakker; Wouter De Baene; Geert-Jan M Rutten; Karin Gehring; Margriet M Sitskoorn
Journal:  Neuro Oncol       Date:  2019-07-11       Impact factor: 12.300

4.  Maxillary dentoskeletal outcomes of the expander with differential opening and the fan-type expander: a randomized controlled trial.

Authors:  Camila Massaro; Daniela Garib; Lucia Cevidanes; Guilherme Janson; Marilia Yatabe; José Roberto Pereira Lauris; Antonio Carlos Ruellas
Journal:  Clin Oral Investig       Date:  2021-02-12       Impact factor: 3.573

5.  A Deep Learning-Based and Fully Automated Pipeline for Thoracic Aorta Geometric Analysis and Planning for Endovascular Repair from Computed Tomography.

Authors:  Simone Saitta; Francesco Sturla; Alessandro Caimi; Alessandra Riva; Maria Chiara Palumbo; Giovanni Nano; Emiliano Votta; Alessandro Della Corte; Mattia Glauber; Dante Chiappino; Massimiliano M Marrocco-Trischitta; Alberto Redaelli
Journal:  J Digit Imaging       Date:  2022-01-26       Impact factor: 4.056

6.  Magnetic resonance imaging (MRI) radiomics of papillary thyroid cancer (PTC): a comparison of predictive performance of multiple classifiers modeling to identify cervical lymph node metastases before surgery.

Authors:  Hui Qin; Qiao Que; Peng Lin; Xin Li; Xin-Rong Wang; Yun He; Jun-Qiang Chen; Hong Yang
Journal:  Radiol Med       Date:  2021-07-08       Impact factor: 3.469

7.  18F-FDG PET/CT Habitat Radiomics Predicts Outcome of Patients with Cervical Cancer Treated with Chemoradiotherapy.

Authors:  Wei Mu; Ying Liang; Lawrence O Hall; Yan Tan; Yoganand Balagurunathan; Robert Wenham; Ning Wu; Jie Tian; Robert J Gillies
Journal:  Radiol Artif Intell       Date:  2020-11-04

8.  Intracranial Calcification is Predictive for Hemorrhagic Transformation and Prognosis After Intravenous Thrombolysis in Non-Cardioembolic Stroke Patients.

Authors:  Yao Yu; Fu-Liang Zhang; Yin-Meng Qu; Peng Zhang; Hong-Wei Zhou; Yun Luo; Yan Wang; Jia Liu; Hai-Qiang Qin; Zhen-Ni Guo; Yi Yang
Journal:  J Atheroscler Thromb       Date:  2020-06-27       Impact factor: 4.928

9.  Comparison of linear and angular changes assessed in digital dental models and cone-beam computed tomography.

Authors:  Camila Massaro; Carolina Losada; Lucia Cevidanes; Marilia Yatabe; Daniela Garib; José Roberto Pereira Lauris; Marcos Ioshida; Diego Rey; Maria Antonia Alvarez; Erika Benavides; Hector Rios; Juan Fernando Aristizabal; Antonio Carlos Ruellas
Journal:  Orthod Craniofac Res       Date:  2019-11-14       Impact factor: 1.826

10.  Longitudinal infant fNIRS channel-space analyses are robust to variability parameters at the group-level: An image reconstruction investigation.

Authors:  Liam H Collins-Jones; Robert J Cooper; Chiara Bulgarelli; Anna Blasi; Laura Katus; Samantha McCann; Luke Mason; Ebrima Mbye; Ebou Touray; Mohammed Ceesay; Sophie E Moore; Sarah Lloyd-Fox; Clare E Elwell
Journal:  Neuroimage       Date:  2021-04-26       Impact factor: 6.556
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