Search Results - "Koerzdoerfer, Gregor"

Refine Results
  1. 1

    Deep Learning Reconstruction for Accelerated Spine MRI: Prospective Analysis of Interchangeability by Almansour, Haidara, Herrmann, Judith, Gassenmaier, Sebastian, Afat, Saif, Jacoby, Johann, Koerzdoerfer, Gregor, Nickel, Dominik, Mostapha, Mahmoud, Nadar, Mariappan, Othman, Ahmed E

    Published in Radiology (01-03-2023)
    “…Background Deep learning (DL)-based MRI reconstructions can reduce examination times for turbo spin-echo (TSE) acquisitions. Studies that prospectively employ…”
    Get full text
    Journal Article
  2. 2

    Magnetic resonance fingerprinting for preoperative differentiation between gonadotroph and non-gonadotroph pituitary macroadenomas by Bai, Yan, Shen, Yu, Chen, Rushi, Zhang, Xianchang, Nittka, Mathias, Koerzdoerfer, Gregor, Gong, Qiyong, Wang, Meiyun

    Published in European radiology (01-11-2021)
    “…Objectives To use magnetic resonance fingerprinting (MRF)–derived T1 and T2 values to differentiate gonadotroph from non-gonadotroph pituitary macroadenomas…”
    Get full text
    Journal Article
  3. 3

    Image quality and lesion detectability of deep learning-accelerated T2-weighted Dixon imaging of the cervical spine by Seo, Geojeong, Lee, Sun Joo, Park, Dae Hyun, Paeng, Sung Hwa, Koerzdoerfer, Gregor, Nickel, Marcel Dominik, Sung, Jaekon

    Published in Skeletal radiology (01-12-2023)
    “…Objectives To validate the subjective image quality and lesion detectability of deep learning-accelerated Dixon (DL-Dixon) imaging of the cervical spine…”
    Get full text
    Journal Article
  4. 4

    Feasibility and Implementation of a Deep Learning MR Reconstruction for TSE Sequences in Musculoskeletal Imaging by Herrmann, Judith, Koerzdoerfer, Gregor, Nickel, Dominik, Mostapha, Mahmoud, Nadar, Mariappan, Gassenmaier, Sebastian, Kuestner, Thomas, Othman, Ahmed E.

    Published in Diagnostics (Basel) (16-08-2021)
    “…Magnetic Resonance Imaging (MRI) of the musculoskeletal system is one of the most common examinations in clinical routine. The application of Deep Learning…”
    Get full text
    Journal Article
  5. 5

    Feasibility and clinical usefulness of deep learning-accelerated MRI for acute painful fracture patients wearing a splint: A prospective comparative study by Roh, Seunghyeon, Park, Jae In, Kim, Gun Young, Yoo, Hye Jin, Nickel, Dominik, Koerzdoerfer, Gregor, Sung, JaeKon, Oh, Jiseon, Chae, Hee Dong, Hong, Sung Hwan, Choi, Ja-Young

    Published in PloS one (28-06-2023)
    “…To evaluate the feasibility and clinical usefulness of deep learning (DL)-accelerated turbo spin echo (TSEDL) sequences relative to standard TSE sequences…”
    Get full text
    Journal Article
  6. 6

    Prospective intraindividual comparison of a standard 2D TSE MRI protocol for ankle imaging and a deep learning-based 2D TSE MRI protocol with a scan time reduction of 48 by Keller, Gabriel, Estler, Arne, Herrmann, Judith, Afat, Saif, Othman, Ahmed E., Nickel, Dominik, Koerzdoerfer, Gregor, Springer, Fabian

    Published in Radiologia medica (01-03-2023)
    “…Purpose Magnetic resonance imaging (MRI) scan time remains a limited and valuable resource. This study evaluates the diagnostic performance of a deep learning…”
    Get full text
    Journal Article
  7. 7

    MR Fingerprinting-A Radiogenomic Marker for Diffuse Gliomas by Springer, Elisabeth, Cardoso, Pedro Lima, Strasser, Bernhard, Bogner, Wolfgang, Preusser, Matthias, Widhalm, Georg, Nittka, Mathias, Koerzdoerfer, Gregor, Szomolanyi, Pavol, Hangel, Gilbert, Hainfellner, Johannes A, Marik, Wolfgang, Trattnig, Siegfried

    Published in Cancers (30-01-2022)
    “…(1) Background: Advanced MR imaging (MRI) of brain tumors is mainly based on qualitative contrast images. MR Fingerprinting (MRF) offers a novel approach. The…”
    Get full text
    Journal Article
  8. 8

    Image Quality and Diagnostic Performance of Accelerated 2D Hip MRI with Deep Learning Reconstruction Based on a Deep Iterative Hierarchical Network by Herrmann, Judith, Afat, Saif, Gassenmaier, Sebastian, Koerzdoerfer, Gregor, Lingg, Andreas, Almansour, Haidara, Nickel, Dominik, Werner, Sebastian

    Published in Diagnostics (Basel) (01-10-2023)
    “…Objectives: Hip MRI using standard multiplanar sequences requires long scan times. Accelerating MRI is accompanied by reduced image quality. This study aimed…”
    Get full text
    Journal Article
  9. 9
  10. 10
  11. 11
  12. 12

    Detection of IV-gadolinium Leakage from the Cortical Veins into the CSF Using MR Fingerprinting by Naganawa, Shinji, Nakane, Toshiki, Kawai, Hisashi, Taoka, Toshiaki, Kawaguchi, Hirokazu, Maruyama, Katsuya, Murata, Katsutoshi, Körzdörfer, Gregor, Pfeuffer, Josef, Nittka, Mathias, Sone, Michihiko

    Published in Magnetic Resonance in Medical Sciences (01-01-2020)
    “…Purpose: It has been reported that leakage of intravenously administered gadolinium-based contrast agents (IV-GBCAs) into the cerebrospinal fluid (CSF) from…”
    Get full text
    Journal Article
  13. 13
  14. 14

    Modern acceleration in musculoskeletal MRI: applications, implications, and challenges by Vosshenrich, Jan, Koerzdoerfer, Gregor, Fritz, Jan

    Published in Skeletal radiology (01-09-2024)
    “…Magnetic resonance imaging (MRI) is crucial for accurately diagnosing a wide spectrum of musculoskeletal conditions due to its superior soft tissue contrast…”
    Get full text
    Journal Article
  15. 15
  16. 16

    Magnetic Resonance Fingerprinting for Preoperative Meningioma Consistency Prediction by Bai, Yan, Zhang, Rui, Zhang, Xianchang, Wang, Xinhui, Nittka, Mathias, Koerzdoerfer, Gregor, Gong, Qiyong, Wang, Meiyun

    Published in Academic radiology (01-08-2022)
    “…RATIONALE AND OBJECTIVESPreoperative meningioma consistency prediction is highly beneficial for surgical planning and prognostication. We aimed to use magnetic…”
    Get full text
    Journal Article
  17. 17
  18. 18

    Deep Learning for Magnetic Resonance Fingerprinting: A New Approach for Predicting Quantitative Parameter Values from Time Series by Hoppe, Elisabeth, Körzdörfer, Gregor, Würfl, Tobias, Wetzl, Jens, Lugauer, Felix, Pfeuffer, Josef, Maier, Andreas

    “…The purpose of this work is to evaluate methods from deep learning for application to Magnetic Resonance Fingerprinting (MRF). MRF is a recently proposed…”
    Get more information
    Journal Article
  19. 19
  20. 20

    Feasibility of MR fingerprinting using a high-performance 0.55 T MRI system by Campbell-Washburn, Adrienne E., Jiang, Yun, Körzdörfer, Gregor, Nittka, Mathias, Griswold, Mark A.

    Published in Magnetic resonance imaging (01-09-2021)
    “…MR fingerprinting (MRF) is a versatile method for rapid multi-parametric quantification. The application of MRF for lower MRI field could enable multi-contrast…”
    Get full text
    Journal Article