Magnetic resonance fingerprinting

Cited by (1,000)

Items 201–300 of 1,000

  1. MRzero ‐ Automated discovery of MRI sequences using supervised learning
    Alexander Loktyushin, Kai Herz, Hoai Nam Dang, Felix Glang, A Deshmane, Simon Weinmüller, Arnd Doerfler, Bernhard Schölkopf, Klaus Scheffler, Moritz Zaiß · 2021 · Magnetic Resonance in Medicine
  2. MR fingerprinting for semisolid magnetization transfer and chemical exchange saturation transfer quantification
    Or Perlman, Christian T. Farrar, Hye‐Young Heo · 2022 · NMR in Biomedicine
  3. Current approaches and advances in the imaging of stroke
    Pragati Kakkar, Tarun Kakkar, Tufail F. Patankar, Sikha Saha · 2021 · Disease Models & Mechanisms
  4. Comprehensive Multi-Dimensional MRI for the Simultaneous Assessment of Cardiopulmonary Anatomy and Physiology
    Joseph Y. Cheng, Tao Zhang, Marcus T. Alley, Martin Uecker, Michael S. Lustig, John M. Pauly, Shreyas S. Vasanawala · 2017 · Scientific Reports
  5. Chemical exchange saturation transfer fingerprinting for exchange rate quantification
    Zhengwei Zhou, Pei Han, Bill Zhou, Anthony Christodoulou, Jaime L. Shaw, Zixin Deng, Debiao Li · 2018 · Magnetic Resonance in Medicine
  6. Ceramic resonators for targeted clinical magnetic resonance imaging of the breast
    Alena V. Shchelokova, Viacheslav Ivanov, Anna Mikhailovskaya, Egor I. Kretov, Ivan V. Sushkov, S. V. Serebryakova, Elizaveta A. Nenasheva, Ирина Валерьевна Мельчакова, Pavel A. Belov, Alexey P. Slobozhanyuk et al. · 2020 · Nature Communications
  7. Unsupervised learning for magnetization transfer contrast MR fingerprinting: Application to CEST and nuclear Overhauser enhancement imaging
    Beomgu Kang, Byungjai Kim, Michael Schär, HyunWook Park, Hye‐Young Heo · 2020 · Magnetic Resonance in Medicine
  8. Simultaneous T1, T2, and T1ρ cardiac magnetic resonance fingerprinting for contrast agent–free myocardial tissue characterization
    Carlos Velasco, Gastao José Lima da Cruz, Begoña Lavín, Alina X Hua, Anastasia Fotaki, René Michael Botnar, Claudia Prieto · 2021 · Magnetic Resonance in Medicine
  9. Towards predicting the encoding capability of MR fingerprinting sequences
    Karsten Sommer, Thomas Amthor, Mariya Doneva, Peter Koken, Jakob Meineke, Peter Börnert · 2017 · Magnetic Resonance Imaging
  10. Magnetic resonance fingerprinting with dictionary‐based fat and water separation (DBFW MRF): A multi‐component approach
    Matteo Cencini, Laura Biagi, Joshua Daniel Kaggie, Rolf F. Schulte, Michela Tosetti, Guido Buonincontri · 2018 · Magnetic Resonance in Medicine
  11. Magnetic resonance field fingerprinting
    Gregor Koerzdoerfer, Yun Jiang, Peter Speier, Jianing Pang, Dan Ma, Josef Pfeuffer, Bernhard Hensel, Vikas Gulani, Mark Alan Griswold, Mathias Nittka · 2018 · Magnetic Resonance in Medicine
  12. Rapid MR relaxometry using deep learning: An overview of current techniques and emerging trends
    Li Feng, Dan Ma, Fang Liu · 2020 · NMR in Biomedicine
  13. Estimation of perfusion properties with MR fingerprinting arterial spin labeling
    Wright, Katherine L., Jiang, Yun, Ma, Dan, Noll, Douglas C., Griswold, Mark A., Gulani, Vikas, Hernandez-Garcia, Luis · 2018 · Magnetic Resonance Imaging
  14. The Role of Cardiac Magnetic Resonance in Myocardial Infarction and Non-obstructive Coronary Arteries
    Kate Liang, Eleni S. Nakou, Marco Giuseppe Del Buono, Rocco Antonio Montone, Domenico D’Amario, Chiara Bucciarelli‐Ducci · 2022 · Frontiers in Cardiovascular Medicine
  15. A Self-Supervised Deep Learning Reconstruction for Shortening the Breathhold and Acquisition Window in Cardiac Magnetic Resonance Fingerprinting
    Jesse Hamilton · 2022 · Frontiers in Cardiovascular Medicine
  16. Primary Multiparametric Quantitative Brain MRI: State-of-the-Art Relaxometric and Proton Density Mapping Techniques
    Hernan J. Jara, Osamu Sakai, Ezequiel Farrher, Ana‐Maria Oros‐Peusquens, Nadim Jon Shah, David C. Alsop, Kathryn E. Keenan · 2022 · Radiology
  17. Novel Techniques in Imaging Congenital Heart Disease
    Ritu Sachdeva, Aimee K. Armstrong, Rima Arnaout, Lars Grosse‐Wortmann, Bo Han, Luc Mertens, Ryan A. Moore, Laura Olivieri, Anitha Parthiban, Andrew J. Powell · 2024 · Journal of the American College of Cardiology
  18. Improving the efficiency and accuracy of cardiovascular magnetic resonance with artificial intelligence—review of evidence and proposition of a roadmap to clinical translation
    Qiang Zhang, Anastasia Fotaki, Sona Ghadimi, Yu Wang, Mariya Doneva, Jens Wetzl, Jana G. Delfino, Declan P. O’Regan, Claudia Prieto, Frederick H. Epstein · 2024 · Journal of Cardiovascular Magnetic Resonance
  19. Nuclear magnetic resonance imaging of lipid in living plants
    Ljudmilla Borisjuk, Hardy Rolletschek, Thomas Neuberger · 2013 · Progress in Lipid Research
  20. Spiral MR fingerprinting at 7 T with simultaneous B1 estimation
    Guido Buonincontri, Rolf F. Schulte, Mirco Cosottini, Michela Tosetti · 2017 · Magnetic Resonance Imaging
  21. Towards in vivo focal cortical dysplasia phenotyping using quantitative MRI
    Sophie Adler, Sara Lorio, Thomas S. Jacques, Barbora Beňová, Roxana S. Gunny, Judith Helen Cross, Torsten Baldeweg, David William Carmichael · 2017 · NeuroImage Clinical
  22. AIR-MRF: Accelerated iterative reconstruction for magnetic resonance fingerprinting
    Christopher C. Cline, Xiao Chen, Boris Mailhé, Qiu Wang, Josef Pfeuffer, Mathias Nittka, Mark Alan Griswold, Peter Speier, Mariappan S. Nadar · 2017 · Magnetic Resonance Imaging
  23. TOPPE: A framework for rapid prototyping of MR pulse sequences
    Jon‐Fredrik Nielsen, Douglas C. Noll · 2017 · Magnetic Resonance in Medicine
  24. Optimized multi‐axis spiral projection MR fingerprinting with subspace reconstruction for rapid whole‐brain high‐isotropic‐resolution quantitative imaging
    Xiaozhi Cao, Congyu Liao, Siddharth Iyer, Zhixing Wang, Zihan Zhou, Erpeng Dai, Gilad Liberman, Zijing Dong, Ting Gong, Hongjian He et al. · 2022 · Magnetic Resonance in Medicine
  25. Artificial intelligence in multiparametric magnetic resonance imaging: A review
    Cheng Li, Wen Li, Chenyang Liu, Hairong Zheng, Jing Cai, Shanshan Wang · 2022 · Medical Physics
  26. Accelerated and motion‐robust in vivo T 2 mapping from radially undersampled data using bloch‐simulation‐based iterative reconstruction
    Noam Ben‐Eliezer, Daniel K. Sodickson, Timothy M. Shepherd, Graham C. Wiggins, Kai Tobias Block · 2015 · Magnetic Resonance in Medicine
  27. Accelerated whole‐brain multi‐parameter mapping using blind compressed sensing
    Sampada Bhave, Sajan Goud Lingala, Casey P. Johnson, Vincent A. Magnotta, Mathews Jacob · 2015 · Magnetic Resonance in Medicine
  28. Exploring the sensitivity of magnetic resonance fingerprinting to motion
    Zidan Yu, Tiejun Zhao, Jakob Assländer, Riccardo Lattanzi, Daniel K. Sodickson, Martijn A. Cloos · 2018 · Magnetic Resonance Imaging
  29. Deep Learning in MR Image Processing
    Doohee Lee, Jingu Lee, Jingyu Ko, Jaeyeon Yoon, Kanghyun Ryu, Yoonho Nam · 2019 · Investigative Magnetic Resonance Imaging
  30. Radiomic analysis of magnetic resonance fingerprinting in adult brain tumors
    Sara Dastmalchian, Özden Kilinç, Louisa Onyewadume, Charit Tippareddy, Debra McGivney, Dan Ma, Mark Alan Griswold, Jeffrey L. Sunshine, Vikas Gulani, Jill S. Barnholtz‐Sloan et al. · 2020 · European Journal of Nuclear Medicine and Molecular Imaging
  31. Deep model-based magnetic resonance parameter mapping network (DOPAMINE) for fast T1 mapping using variable flip angle method
    Yohan Jun, Hyungseob Shin, Taejoon Eo, Taeseong Kim, Dosik Hwang · 2021 · Medical Image Analysis
  32. Robust Single-Shot T2 Mapping via Multiple Overlapping-Echo Acquisition and Deep Neural Network
    Jun Zhang, Jian Wu, Shaojian Chen, Zhiyong Zhang, Shuhui Cai, Congbo Cai, Zhong Chen · 2019 · IEEE Transactions on Medical Imaging
  33. Simultaneous multislice magnetic resonance fingerprinting (SMS‐MRF) with direct‐spiral slice‐GRAPPA (ds‐SG) reconstruction
    Huihui Ye, Stephen Cauley, Borjan A. Gagoski, Berkin Bilgiç, Dan Ma, Yun Jiang, Yiping P. Du, Mark Alan Griswold, Lawrence L. Wald, Kawin Setsompop · 2016 · Magnetic Resonance in Medicine
  34. Deep complex convolutional network for fast reconstruction of 3D late gadolinium enhancement cardiac MRI
    Hossam El-Rewaidy, Ulf Neisius, Jennifer Mâncio, Selçuk Küçükseymen, Jennifer Rodriguez, Amanda Paskavitz, Bjoern H. Menze, Reza Nezafat · 2020 · NMR in Biomedicine
  35. Clinical Imaging of the Penumbra in Ischemic Stroke: From the Concept to the Era of Mechanical Thrombectomy
    Lucie Chalet, Timothé Boutelier, Thomas Christen, Dorian Raguenes, Justine Debatisse, Omer Eker, Guillaume Becker, Norbert Nighoghossian, Tae‐Hee Cho, Emmanuelle Canet‐Soulas et al. · 2022 · Frontiers in Cardiovascular Medicine
  36. The future of MRI in radiation therapy: Challenges and opportunities for the MR community
    Rosie J. Goodburn, M.E.P. Philippens, Thierry L Lefebvre, Aly Khalifa, Tom Bruijnen, Joshua N. Freedman, David E. J. Waddington, Eyesha Younus, Eric Aliotta, G. Meliadò et al. · 2022 · Magnetic Resonance in Medicine
  37. AI in MRI: Computational Frameworks for a Faster, Optimized, and Automated Imaging Workflow
    Efrat Shimron, Or Perlman · 2023 · Bioengineering
  38. Direct Estimation of Tracer-Kinetic Parameter Maps from Highly Undersampled Brain DCE-MRI
    Yi Guo, S. Lingala, Ying-Hua Zhu, R. Lebel, K. Nayak · 2016 · Magnetic Resonance in Medicine
  39. MR Vascular Fingerprinting in Stroke and Brain Tumors Models
    Benjamin Lemasson, Nicolas Adrien Pannetier, Nicolas Coquery, Lígia Simões Braga Boisserand, Nora Collomb, Norbert W. Schuff, Michael Eugene Moseley, Greg Zaharchuk, Emmanuel Barbier, Thomas Christen · 2016 · Scientific Reports
  40. Partial volume mapping using magnetic resonance fingerprinting
    A Deshmane, Debra McGivney, Dan Ma, Yun Jiang, Chaitra A. Badve, Vikas Gulani, Nicole Seiberlich, Mark Alan Griswold · 2019 · NMR in Biomedicine
  41. Low-Rank Tensor Models for Improved Multidimensional MRI: Application to Dynamic Cardiac $T_1$ Mapping
    Burhaneddin Yaman, Sebastian Weingärtner, Nikolaos Kargas, Nicholas D. Sidiropoulos, Mehmet Akçakaya · 2019 · IEEE Transactions on Computational Imaging
  42. Established paths and new avenues: a review of the main radiological techniques for investigating sarcopenia
    Chiara Giraudo, Annachiara Cavaliere, Amalia Lupi, Giuseppe Guglielmi, Emilio Quaia · 2020 · Quantitative Imaging in Medicine and Surgery
  43. Bayesian estimation of multicomponent relaxation parameters in magnetic resonance fingerprinting
    Debra McGivney, A Deshmane, Yun Jiang, Dan Ma, Chaitra A. Badve, Andrew Edward Sloan, Vikas Gulani, Mark Alan Griswold · 2017 · Magnetic Resonance in Medicine
  44. MR fingerprinting with simultaneous T1, T2, and fat signal fraction estimation with integrated B0 correction reduces bias in water T1 and T2 estimates
    Jason Ostenson, Bruce M. Damon, Edward Brian Welch · 2019 · Magnetic Resonance Imaging
  45. Flexible and efficient optimization of quantitative sequences using automatic differentiation of Bloch simulations
    Philip Kenneth Lee, Lauren Watkins, Timothy I. Anderson, Guido Buonincontri, Brian Andrew Hargreaves · 2019 · Magnetic Resonance in Medicine
  46. MRI T2 Mapping of the Knee Providing Synthetic Morphologic Images: Comparison to Conventional Turbo Spin-Echo MRI
    Marion Roux, Tom Hilbert, Mahmoud Hussami, Fabio Becce, Tobias Kober, Patrick Omoumi · 2019 · Radiology
  47. Cardiac cine magnetic resonance fingerprinting for combined ejection fraction, T1 and T2 quantification
    Jesse Hamilton, Yun Jiang, Brendan Eck, Mark Alan Griswold, Nicole Seiberlich · 2020 · NMR in Biomedicine
  48. Three dimensional MRF obtains highly repeatable and reproducible multi-parametric estimations in the healthy human brain at 1.5T and 3T
    Guido Buonincontri, Jan W. Kurzawski, Joshua Daniel Kaggie, Tomasz Matys, Ferdia Aidan Gallagher, Matteo Cencini, Graziella Donatelli, Paolo Cipriano Cecchi, Mirco Cosottini, Nicola Martini et al. · 2020 · NeuroImage
  49. Pediatric magnetic resonance imaging: faster is better
    Sebastian Gallo‐Bernal, Maria A. Bedoya, Michael Stanley Gee, Camilo E. Jaimes · 2022 · Pediatric Radiology
  50. Monitoring skeletal muscle chronic fatty degenerations with fast T1-mapping
    Benjamin Marty, Bertrand Coppa, Pierre G. Carlier · 2018 · European Radiology
  51. Rigid motion‐corrected magnetic resonance fingerprinting
    Gastao José Lima da Cruz, Olivier Jaubert, Torben Schneider, René Michael Botnar, Claudia Prieto · 2018 · Magnetic Resonance in Medicine
  52. Echo planar time‐resolved imaging with subspace reconstruction and optimized spatiotemporal encoding
    Zijing Dong, Fuyixue Wang, Timothy G. Reese, Berkin Bilgiç, Kawin Setsompop · 2020 · Magnetic Resonance in Medicine
  53. Physics-based reconstruction methods for magnetic resonance imaging
    Xiaoqing Wang, Zhengguo Tan, Nick Scholand, Volkert Roeloffs, Martin Uecker · 2021 · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
  54. Rapid B 1 -Insensitive MR Fingerprinting for Quantitative Kidney Imaging
    Christina J. MacAskill, Michael Markley, Susan Farr, Ashlee Parsons, Jacob R. Perino, Kimberly McBennett, KATHERINE A. KUTNEY, Mitchell L. Drumm, Nicole Pritts, Mark Alan Griswold et al. · 2021 · Radiology
  55. Myocardial T1, T2, T2*, and fat fraction quantification via low‐rank motion‐corrected cardiac MR fingerprinting
    Gastao José Lima da Cruz, Carlos Velasco, Begoña Lavín, Olivier Jaubert, René Michael Botnar, Claudia Prieto · 2022 · Magnetic Resonance in Medicine
  56. Imaging Methods: Magnetic Resonance Imaging
    Katharine E. H. Thomas, Anastasia Fotaki, René Michael Botnar, Vanessa M. Ferreira · 2023 · Circulation Cardiovascular Imaging
  57. KomaMRI.jl: An open‐source framework for general MRI simulations with GPU acceleration
    Carlos Castillo‐Passi, Ronal Coronado, Gabriel E. Varela-Mattatall, Carlos Alberola‐López, René Michael Botnar, Pablo Irarrázaval M · 2023 · Magnetic Resonance in Medicine
  58. Initial clinical experience of synthetic MRI as a routine neuroimaging protocol in daily practice: A single-center study
    Kyeong Hwa Ryu, Hye Jin Baek, Jin Il Moon, Bo Hwa Choi, Sung Eun Park, Ji Young Ha, Kyung Nyeo Jeon, Kyungsoo Bae, Dae Seob Choi, Soo Buem Cho et al. · 2019 · Journal of Neuroradiology
  59. MR fingerprinting for water T1 and fat fraction quantification in fat infiltrated skeletal muscles
    Benjamin Marty, Pierre G. Carlier · 2019 · Magnetic Resonance in Medicine
  60. A Perspective on MR Fingerprinting
    Jakob Assländer · 2020 · Journal of Magnetic Resonance Imaging
  61. Automated design of pulse sequences for magnetic resonance fingerprinting using physics-inspired optimization
    Stephen P. Jordan, Siyuan Hu, Ignacio Rozada, Debra McGivney, Rasim Boyacıoğlu, Darryl C. Jacob, Sherry Huang, Michael E. Beverland, Helmut G. Katzgraber, Matthias Troyer et al. · 2021 · Proceedings of the National Academy of Sciences
  62. Magnetic resonance myocardial T1ρ mapping
    Aurélien Bustin, Walter R T Witschey, Ruud B. van Heeswijk, Hubert Cochet, Matthias Stuber · 2023 · Journal of Cardiovascular Magnetic Resonance
  63. Bloch-based MRI system simulator considering realistic electromagnetic fields for calculation of signal, noise, and specific absorption rate
    Zhipeng Cao, Sukhoon Oh, Christopher T. Sica, John M. McGarrity, Timothy Horan, Wei Luo, Christopher M. Collins · 2013 · Magnetic Resonance in Medicine
  64. Biomedical Imaging in Implantable Drug Delivery Systems
    Haoyan Zhou, Christopher Hernandez, Monika Goss, Anna Gawlik, Agata A. Exner · 2015 · Current Drug Targets
  65. Clinical validation of synthetic brain MRI in children: initial experience
    Hollie West, James L. Leach, Blaise V. Jones, Marguerite M. Caré, Rupa Radhakrishnan, Arnold C. Merrow, Enrique Alvarado, Suraj D. Serai · 2016 · Neuroradiology
  66. Magnetic Resonance Fingerprinting Using Recurrent Neural Networks
    İlkay Öksüz, Gastao José Lima da Cruz, James R. Clough, Aurélien Bustin, Nicolo Fuin, René Michael Botnar, Claudia Prieto, Andrew Peter King, Julia A. Schnabel · 2019 · IEEE International Symposium on Biomedical Imaging (ISBI)
  67. Magnetic Resonance Fingerprinting to Characterize Childhood and Young Adult Brain Tumors
    Peter M K de Blank, Chaitra A. Badve, Deborah Rukin Gold, Duncan S. Stearns, Jeffrey L. Sunshine, Sara Dastmalchian, Krystal Lynne Tomei, Andrew Edward Sloan, Jill S. Barnholtz‐Sloan, Adam Lane et al. · 2019 · Pediatric Neurosurgery
  68. Acquisition sequences and reconstruction methods for fast chemical exchange saturation transfer imaging
    Yi Zhang, Tao Zu, Ruibin Liu, Jinyuan Zhou · 2022 · NMR in Biomedicine
  69. Joint system relaxometry (JSR) and Crámer‐Rao lower bound optimization of sequence parameters: A framework for enhanced precision of DESPOT T1 and T2 estimation
    Teixeira, Rui Pedro A.G., Malik, Shaihan J., Hajnal, Joseph V. · 2018 · Magnetic Resonance in Medicine
  70. 31P magnetic resonance fingerprinting for rapid quantification of creatine kinase reaction rate in vivo
    Charlie Yi Wang, Yuchi Liu, Shuying Huang, Mark Alan Griswold, Nicole Seiberlich, Xin Yu · 2017 · NMR in Biomedicine
  71. Magnetic resonance T 1w/ T 2w ratio: A parsimonious marker for P arkinson disease
    Guangwei Du, Mechelle M. Lewis, Christopher T. Sica, Lan Kong, Xuemei Huang · 2018 · Annals of Neurology
  72. Submillimeter MR fingerprinting using deep learning–based tissue quantification
    Zhenghan Fang, Yong Chen, Sheng‐Che Hung, Xiaoxia Zhang, Weili Lin, Dinggang G. Shen · 2019 · Magnetic Resonance in Medicine
  73. Simultaneous Mapping of T1 and T2 Using Cardiac Magnetic Resonance Fingerprinting in a Cohort of Healthy Subjects at 1. 5T
    Jesse Hamilton, Shivani S Pahwa, Joseph Adetola Adedigba, Samuel Frankel, Gregory O’Connor, Rahul Thomas, Jonathan R. Walker, Ozden Killinc, Wei‐Ching Lo, Joshua Batesole et al. · 2020 · Journal of Magnetic Resonance Imaging
  74. Generalized low‐rank nonrigid motion‐corrected reconstruction for MR fingerprinting
    Gastao José Lima da Cruz, Haikun Qi, Olivier Jaubert, Thomas Kuestner, Torben Schneider, René Michael Botnar, Claudia Prieto · 2021 · Magnetic Resonance in Medicine
  75. Development, validation, qualification, and dissemination of quantitative MR methods: Overview and recommendations by the ISMRM quantitative MR study group
    Sebastian Weingärtner, Kimberly L. Desmond, Nancy A. Obuchowski, Bettina Baeßler, Yuxin Zhang, Emma Biondetti, Dan Ma, Xavier Golay, Michael A. Boss, Jeffrey L. Gunter et al. · 2021 · Magnetic Resonance in Medicine
  76. Conventional and synthetic MRI in multiple sclerosis: a comparative study
    Wolfgang Krauss, Martin Gunnarsson, Margareta Frohm Nilsson, Per Thunberg · 2017 · European Radiology
  77. Image reconstruction algorithm for motion insensitive MR Fingerprinting (MRF): MORF
    Bhairav Bipin Mehta, Dan Ma, Eric Y. Pierre, Yun Jiang, Simone Coppo, Mark Alan Griswold · 2018 · Magnetic Resonance in Medicine
  78. Optimization of MRI Turnaround Times Through the Use of Dockable Tables and Innovative Architectural Design Strategies
    Michael P. Recht, Kai Tobias Block, Hersh Chandarana, Jennifer Friedland, Thomas Mulholland, Donal Teahan, Roy Wiggins · 2019 · American Journal of Roentgenology
  79. Physiological and pathological skeletal muscle T1 changes quantified using a fast inversion-recovery radial NMR imaging sequence
    Benjamin Marty, Pierre G. Carlier · 2019 · Scientific Reports
  80. A deep learning approach for synthetic MRI based on two routine sequences and training with synthetic data
    Elisa Moya‐Sáez, Óscar Peña‐Nogales, Rodrigo de Luis-Garcı́a, Carlos Alberola‐López · 2021 · Computer Methods and Programs in Biomedicine
  81. Hybrid-state free precession in nuclear magnetic resonance
    Jakob Assländer, Dmitry S. Novikov, Riccardo Lattanzi, Daniel K. Sodickson, Martijn A. Cloos · 2019 · Communications Physics
  82. Myocardial T1 and T2 quantification and water–fat separation using cardiac MR fingerprinting with rosette trajectories at 3T and 1.5T
    Yuchi Liu, Jesse Hamilton, Brendan Eck, Mark Alan Griswold, Nicole Seiberlich · 2020 · Magnetic Resonance in Medicine
  83. T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning–derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology
    Rakesh Shiradkar, Ananya Panda, Patrick Leo, Andrew R. Janowczyk, Xavier Farré, Nafiseh Janaki, Lin Li, Shivani S Pahwa, Amr Mahran, Christina A. Buzzy et al. · 2020 · European Radiology
  84. Challenges in ensuring the generalizability of image quantitation methods for MRI
    Kathryn E. Keenan, Jana G. Delfino, Kalina V. Jordanova, Megan E. Poorman, Prathyush V. Chirra, Akshay Sanjay Chaudhari, Bettina Baeßler, Jessica Mary Winfield, Satish E. Viswanath, Nandita M. deSouza · 2021 · Medical Physics
  85. Updates on Compositional MRI Mapping of the Cartilage: Emerging Techniques and Applications
    Marcelo V. W. Zibetti, Rajiv G. Menon, Hector Lise de Moura, Xiaoxia Zhang, Richard Kijowski, Ravinder Reddy Regatte · 2023 · Journal of Magnetic Resonance Imaging
  86. Cardiovascular magnetic resonance (CMR) and positron emission tomography (PET) imaging in the diagnosis and follow-up of patients with acute myocarditis and chronic inflammatory cardiomyopathy
    Federico Caobelli, Jordi Broncano Cabrero, Nicola Galea, Philip Haaf, Christian Loewe, Julian Alexander Luetkens, Giuseppe Muscogiuri, Marco Francone · 2023 · The International Journal of Cardiovascular Imaging
  87. Multicompartment magnetic resonance fingerprinting
    Sunli Tang, Carlos Fernandez‐Granda, Sylvain Lannuzel, Brett Bernstein, Riccardo Lattanzi, Martijn A. Cloos, Florian Knöll, Jakob Assländer · 2018 · Inverse Problems
  88. RCA-U-Net: Residual Channel Attention U-Net for Fast Tissue Quantification in Magnetic Resonance Fingerprinting
    Zhenghan Fang, Yong Chen, Dong Nie, Weili Lin, Dinggang G. Shen · 2019 · Lecture notes in computer science
  89. T1 , T2, and Fat Fraction Cardiac MR Fingerprinting: Preliminary Clinical Evaluation
    Olivier Jaubert, Gastao José Lima da Cruz, Aurélien Bustin, Reza Hajhosseiny, Sohaib Nazir, Torben Schneider, Peter Koken, Mariya Doneva, Daniel Rueckert, Pier Giorgio Masci et al. · 2020 · Journal of Magnetic Resonance Imaging
  90. Imaging Markers of Vascular Brain Health: Quantification, Clinical Implications, and Future Directions
    Prashanthi Vemuri, Charles S DeCarli, Marco Duering · 2022 · Stroke
  91. Amide proton transfer imaging in stroke
    Hye‐Young Heo, Yee Kai Tee, George Harston, Richard J. Leigh, Michael A. Chappell · 2022 · NMR in Biomedicine
  92. Vision 20/20: Simultaneous CT‐MRI — Next chapter of multimodality imaging
    Ge Wang, Mannudeep K. Kalra, Venkatesh A. Murugan, Yan Xi, Lars Gjesteby, Matthew Getzin, Qingsong Yang, Wenxiang Cong, Michael Walter Vannier · 2015 · Medical Physics
  93. Magnetic Resonance Fingerprinting Reconstruction via Spatiotemporal Convolutional Neural Networks
    Fabian Balsiger, Shridhar Konar, Amaresha, Shivaprasad Ashok Chikop, Vimal Chandran, Olivier Scheidegger, Sairam Geethanath, Mauricio Reyes · 2018 · BORIS (University Library Bern)
  94. Magnetic Resonance Fingerprinting with compressed sensing and distance metric learning
    Zhe Wang, Hongsheng Li, Qinwei Zhang, Jing Yuan, Xiaogang Wang · 2015 · Neurocomputing
  95. Time efficient whole-brain coverage with MR Fingerprinting using slice-interleaved echo-planar-imaging
    Rieger, Benedikt, Akçakaya, Mehmet, Pariente, José C., Llufriu, Sara, Martinez-Heras, Eloy, Weingärtner, Sebastian, Schad, Lothar R. · 2018 · Scientific Reports
  96. Parameter map error due to normal noise and aliasing artifacts in MR fingerprinting
    Danielle Kara, Mingdong Fan, Jesse Hamilton, Mark Alan Griswold, Nicole Seiberlich, Robert W. Brown · 2019 · Magnetic Resonance in Medicine
  97. Fast and accurate calculation of myocardial T1 and T2 values using deep learning Bloch equation simulations (DeepBLESS)
    Jiaxin Shao, Vahid Ghodrati, Kim‐Lien Nguyen, Peng Hu · 2020 · Magnetic Resonance in Medicine
  98. Accelerated Isotropic Multiparametric Imaging by High Spatial Resolution 3D-QALAS With Compressed Sensing
    Shohei Fujita, Akifumi Hagiwara, Naoyuki Takei, Ken‐Pin Hwang, Issei Fukunaga, Shimpei Kato, Christina Andica, Koji Kamagata, Kazumasa Yokoyama, Nobutaka Hattori et al. · 2020 · Investigative Radiology
  99. MR Fingerprinting with b‐Tensor Encoding for Simultaneous Quantification of Relaxation and Diffusion in a Single Scan
    Maryam Afzali, Lars Mueller, Ken Sakaie, Siyuan Hu, Yong Chen, Filip Szczepankiewicz, Mark Alan Griswold, Derek Kenton Jones, Dan Ma · 2022 · Magnetic Resonance in Medicine
  100. The future of transcranial ultrasound as a precision brain interface
    Keith Murphy, E. Fouragnan · 2024 · PLoS Biology