Theo dơi
Ananth Madhuranthakam, PhD
Ananth Madhuranthakam, PhD
Email được xác minh tại UTSouthwestern.edu - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Comprehensive quantification of signal‐to‐noise ratio and g‐factor for image‐based and k‐space‐based parallel imaging reconstructions
PM Robson, AK Grant, AJ Madhuranthakam, R Lattanzi, DK Sodickson, ...
Magnetic Resonance in Medicine: An Official Journal of the International …, 2008
5492008
Modeling Renal Cell Carcinoma in Mice: Bap1 and Pbrm1 Inactivation Drive Tumor Grade
YF Gu, S Cohn, A Christie, T McKenzie, N Wolff, QN Do, ...
Cancer discovery 7 (8), 900-917, 2017
1582017
Retracted: A novel fully automated MRI-based deep-learning method for classification of IDH mutation status in brain gliomas
CG Bangalore Yogananda, BR Shah, M Vejdani-Jahromi, SS Nalawade, ...
Neuro-oncology 22 (3), 402-411, 2020
1512020
HIF-2 complex dissociation, target inhibition, and acquired resistance with PT2385, a first-in-class HIF-2 inhibitor, in patients with clear cell renal cell carcinoma
KD Courtney, Y Ma, A Diaz de Leon, A Christie, Z Xie, L Woolford, ...
Clinical Cancer Research 26 (4), 793-803, 2020
1512020
Magnetic resonance neurography: current perspectives and literature review
A Chhabra, AJ Madhuranthakam, G Andreisek
European radiology 28, 698-707, 2018
1452018
Strategies for reducing respiratory motion artifacts in renal perfusion imaging with arterial spin labeling
PM Robson, AJ Madhuranthakam, W Dai, I Pedrosa, NM Rofsky, ...
Magnetic Resonance in Medicine: An Official Journal of the International …, 2009
1412009
Consensus-based technical recommendations for clinical translation of renal ASL MRI
F Nery, CE Buchanan, AA Harteveld, A Odudu, O Bane, EF Cox, K Derlin, ...
Magnetic Resonance Materials in Physics, Biology and Medicine 33, 141-161, 2020
1312020
MRI-based deep-learning method for determining glioma MGMT promoter methylation status
CGB Yogananda, BR Shah, SS Nalawade, GK Murugesan, FF Yu, ...
American Journal of Neuroradiology 42 (5), 845-852, 2021
862021
A fully automated deep learning network for brain tumor segmentation
CGB Yogananda, BR Shah, M Vejdani-Jahromi, SS Nalawade, ...
Tomography 6 (2), 186-193, 2020
732020
MR neurography of brachial plexus at 3.0 T with robust fat and blood suppression
X Wang, C Harrison, YK Mariappan, K Gopalakrishnan, A Chhabra, ...
Radiology 283 (2), 538-546, 2017
732017
CEST‐Dixon for human breast lesion characterization at 3 T: A preliminary study
S Zhang, S Seiler, X Wang, AJ Madhuranthakam, J Keupp, EE Knippa, ...
Magnetic resonance in medicine 80 (3), 895-903, 2018
662018
Added value of diffusion-weighted acquisitions in MRI of the abdomen and pelvis
WA Moore, G Khatri, AJ Madhuranthakam, RD Sims, I Pedrosa
American Journal of Roentgenology 202 (5), 995-1006, 2014
632014
Tumor vascularity in renal masses: correlation of arterial spin-labeled and dynamic contrast-enhanced magnetic resonance imaging assessments
Y Zhang, P Kapur, Q Yuan, Y Xi, I Carvo, S Signoretti, I Dimitrov, ...
Clinical genitourinary cancer 14 (1), e25-e36, 2016
582016
Volumetric arterial spin-labeled perfusion imaging of the kidneys with a three-dimensional fast spin echo acquisition
PM Robson, AJ Madhuranthakam, MP Smith, MRM Sun, W Dai, ...
Academic radiology 23 (2), 144-154, 2016
572016
A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomas
CGB Yogananda, BR Shah, FF Yu, MC Pinho, SS Nalawade, ...
Neuro-oncology advances 2 (Supplement_4), iv42-iv48, 2020
552020
Recent technical developments in ASL: a review of the state of the art
L Hernandez‐Garcia, V Aramendía‐Vidaurreta, DS Bolar, W Dai, ...
Magnetic resonance in medicine 88 (5), 2021-2042, 2022
532022
MRI of the placenta accreta spectrum (PAS) disorder: radiomics analysis correlates with surgical and pathological outcome
QN Do, MA Lewis, Y Xi, AJ Madhuranthakam, SK Happe, JS Dashe, ...
Journal of Magnetic Resonance Imaging 51 (3), 936-946, 2020
502020
Addressing metabolic heterogeneity in clear cell renal cell carcinoma with quantitative Dixon MRI
Y Zhang, D Udayakumar, L Cai, Z Hu, P Kapur, EY Kho, A Pavía-Jiménez, ...
JCI insight 2 (15), 2017
452017
QU-BraTS: MICCAI BraTS 2020 challenge on quantifying uncertainty in brain tumor segmentation-analysis of ranking scores and benchmarking results
R Mehta, A Filos, U Baid, C Sako, R McKinley, M Rebsamen, K Dätwyler, ...
The journal of machine learning for biomedical imaging 2022, 2022
432022
Current utilities of imaging in grading musculoskeletal soft tissue sarcomas
SM Fisher, R Joodi, AJ Madhuranthakam, OK Öz, R Sharma, A Chhabra
European journal of radiology 85 (7), 1336-1344, 2016
432016
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