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Christiane K. Kuhl

Christiane K. Kuhl

D-Index & Metrics

Medicine

D-Index
75
Citations
29206
World Ranking
18992
National Ranking
997

Overview

Christiane K. Kuhl is affiliated with RWTH Aachen University in Germany. Their research primarily falls within the field of Medicine, with a significant focus on Radiology, Nuclear Medicine and Imaging.

The main subfields of study for this scientist include:

  • Radiology, Nuclear Medicine and Imaging
  • Surgery
  • Pulmonary and Respiratory Medicine
  • Artificial Intelligence
  • Biomedical Engineering

Key topics covered in their work are:

  • Radiomics and Machine Learning in Medical Imaging
  • MRI in cancer diagnosis
  • Advanced MRI Techniques and Applications
  • Advanced X-ray and CT Imaging
  • Medical Imaging Techniques and Applications
  • Hepatocellular Carcinoma Treatment and Prognosis
  • Artificial Intelligence in Healthcare and Education

Several frequent co-authors have collaborated extensively with Christiane K. Kuhl, including:

  • Daniel Truhn
  • Sven Nebelung
  • Peter Isfort
  • Maximilian Schulze-Hagen
  • Jakob Nikolas Kather

The scientist's publications are often featured in notable venues, with multiple contributions to:

  • RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren
  • arXiv (Cornell University)
  • Scientific Reports
  • Radiology
  • European Radiology

Recent significant papers by this scientist include:

  • Swarm Learning for decentralized and confidential clinical machine learning, 2021, Nature
  • Comparison of Abbreviated Breast MRI vs Digital Breast Tomosynthesis for Breast Cancer Detection Among Women With Dense Breasts Undergoing Screening, 2020, JAMA
  • Breast cancer screening in women with extremely dense breasts recommendations of the European Society of Breast Imaging (EUSOBI), 2022, European Radiology
  • Denoising diffusion probabilistic models for 3D medical image generation, 2023, Scientific Reports
  • Risk reduction and screening of cancer in hereditary breast-ovarian cancer syndromes: ESMO Clinical Practice Guideline, 2022, Annals of Oncology

Best Publications

  • Dynamic breast MR imaging: are signal intensity time course data useful for differential diagnosis of enhancing lesions?

    Christiane Katharina Kuhl;Peter Mielcareck;Sven Klaschik;Claudia Leutner

  • Mammography, Breast Ultrasound, and Magnetic Resonance Imaging for Surveillance of Women at High Familial Risk for Breast Cancer

    Christiane K. Kuhl;Simone Schrading;Claudia C. Leutner;Nuschin Morakkabati-Spitz

  • MRI evaluation of the contralateral breast in women with recently diagnosed breast cancer

    Constance D. Lehman;Constantine Gatsonis;Christiane K. Kuhl;R. Edward Hendrick

  • The current status of breast MR imaging. Part I. Choice of technique, image interpretation, diagnostic accuracy, and transfer to clinical practice.

    Christiane Kuhl

  • Breast MRI: guidelines from the European Society of Breast Imaging

    R. M. Mann;C. K. Kuhl;K. Kinkel;C. Boetes

  • MRI for diagnosis of pure ductal carcinoma in situ: a prospective observational study

    Christiane K Kuhl;Simone Schrading;Heribert B Bieling;Eva Wardelmann

  • Breast MR Imaging Screening in 192 Women Proved or Suspected to Be Carriers of a Breast Cancer Susceptibility Gene: Preliminary Results

    Christiane Katharina Kuhl;Rita K. Schmutzler;Claudia Christiane Leutner;Andrea Kempe

  • Diagnostic architectural and dynamic features at breast MR imaging: Multicenter study

    Mitchell D. Schnall;Jeffrey Blume;David A. Bluemke;Gia A. DeAngelis

  • Abbreviated Breast Magnetic Resonance Imaging (MRI): First Postcontrast Subtracted Images and Maximum-Intensity Projection—A Novel Approach to Breast Cancer Screening With MRI

    Christiane K. Kuhl;Simone Schrading;Kevin Strobel;Hans H. Schild

  • Magnetic Resonance Imaging of the Breast Prior to Biopsy

    David A. Bluemke;Constantine A. Gatsonis;Mei Hsiu Chen;Gia A. DeAngelis

  • Prospective Multicenter Cohort Study to Refine Management Recommendations for Women at Elevated Familial Risk of Breast Cancer: The EVA Trial

    Christiane Kuhl;Stefanie Weigel;Simone Schrading;Birke Arand

  • Healthy premenopausal breast parenchyma in dynamic contrast-enhanced MR imaging of the breast: normal contrast medium enhancement and cyclical-phase dependency.

    C K Kuhl;H B Bieling;J Gieseke;B P Kreft

  • Aortic dissection: a comparative study of diagnosis with spiral CT, multiplanar transesophageal echocardiography, and MR imaging.

    T Sommer;W Fehske;N Holzknecht;A V Smekal

  • Current status of breast MR imaging. Part 2. Clinical applications.

    Christiane K Kuhl

  • Breast MRI: EUSOBI recommendations for women's information.

    Ritse M. Mann;Corinne Balleyguier;Pascal A. Baltzer;Ulrich Bick

  • MRI-Based Attenuation Correction for Hybrid PET/MRI Systems: A 4-Class Tissue Segmentation Technique Using a Combined Ultrashort-Echo-Time/Dixon MRI Sequence

    Yannick Berker;Jochen Franke;André Salomon;Moritz Palmowski

  • MRI of breast tumors.

    C. K. Kuhl

  • Dynamic bilateral contrast-enhanced MR imaging of the breast: trade-off between spatial and temporal resolution.

    Christiane K. Kuhl;Hans H. Schild;Nuschin Morakkabati

  • Comparison of Abbreviated Breast MRI vs Digital Breast Tomosynthesis for Breast Cancer Detection among Women with Dense Breasts Undergoing Screening

    Christopher E. Comstock;Constantine Gatsonis;Gillian M. Newstead;Bradley S. Snyder

  • Diagnostic Architectural and Dynamic Features at Breast MR

    Mitchell D. Schnall;Jeffrey Blume;David A. Bluemke;Gia A. DeAngelis

Frequent Co-Authors

Hans H. Schild
Hans H. Schild University of Bonn
Felix M. Mottaghy
Felix M. Mottaghy RWTH Aachen University
Constance D. Lehman
Constance D. Lehman Harvard University
Jörg B. Schulz
Jörg B. Schulz RWTH Aachen University
Mitchell D. Schnall
Mitchell D. Schnall University of Pennsylvania
Uwe Klinge
Uwe Klinge RWTH Aachen University
Constantine Gatsonis
Constantine Gatsonis Brown University
Christian Trautwein
Christian Trautwein RWTH Aachen University
Volkmar Schulz
Volkmar Schulz RWTH Aachen University
Fabian Kiessling
Fabian Kiessling RWTH Aachen University

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