Articles with public access mandates - Manushka VaidyaLearn more
Not available anywhere: 2
Predicting local failure in lung cancer using Bayesian networks
JH Oh, J Craft, R Al-Lozi, M Vaidya, Y Meng, JO Deasy, JD Bradley, ...
2010 Ninth International Conference on Machine Learning and Applications …, 2010
Mandates: US National Institutes of Health
Predicting Response in Lung Cancer from FDG-PET Uptake Characteristics
I El Naqa, M Vaidya, A Apte, F Dehdashti, JO Deasy, JD Bradley
World Congress on Medical Physics and Biomedical Engineering, September 7-12 …, 2009
Mandates: US National Institutes of Health
Available somewhere: 12
Combined PET/CT image characteristics for radiotherapy tumor response in lung cancer
M Vaidya, KM Creach, J Frye, F Dehdashti, JD Bradley, I El Naqa
Radiotherapy and Oncology 102 (2), 239-245, 2012
Mandates: Canadian Institutes of Health Research
Dependence of B1+ and B1- field patterns of surface coils on the electrical properties of the sample and the MR operating frequency
MV Vaidya, CM Collins, DK Sodickson, R Brown, GC Wiggins, R Lattanzi
Concepts in Magnetic Resonance Part B: Magnetic Resonance Engineering 46 (1 …, 2016
Mandates: US National Science Foundation, US National Institutes of Health
A Bayesian network approach for modeling local failure in lung cancer
JH Oh, J Craft, R Al Lozi, M Vaidya, Y Meng, JO Deasy, JD Bradley, ...
Physics in Medicine & Biology 56 (6), 1635, 2011
Mandates: US National Institutes of Health
Approaching ultimate intrinsic SNR in a uniform spherical sample with finite arrays of loop coils
MV Vaidya, DK Sodickson, R Lattanzi
Concepts in Magnetic Resonance Part B: Magnetic Resonance Engineering 44 (3 …, 2014
Mandates: US National Institutes of Health
Improved detection of fMRI activation in the cerebellum at 7T with dielectric pads extending the imaging region of a commercial head coil
MV Vaidya, M Lazar, CM Deniz, GG Haemer, G Chen, M Bruno, ...
Journal of Magnetic Resonance Imaging 48 (2), 431-440, 2018
Mandates: US National Science Foundation, US National Institutes of Health
Radiofrequency energy deposition and radiofrequency power requirements in parallel transmission with increasing distance from the coil to the sample
CM Deniz, MV Vaidya, DK Sodickson, R Lattanzi
Magnetic resonance in medicine 75 (1), 423-432, 2016
Mandates: US National Institutes of Health
Manipulating transmit and receive sensitivities of radiofrequency surface coils using shielded and unshielded high-permittivity materials
MV Vaidya, CM Deniz, CM Collins, DK Sodickson, R Lattanzi
Magnetic Resonance Materials in Physics, Biology and Medicine 31, 355-366, 2018
Mandates: US National Science Foundation, US National Institutes of Health
Disentangling the effects of high permittivity materials on signal optimization and sample noise reduction via ideal current patterns
MV Vaidya, DK Sodickson, CM Collins, R Lattanzi
Magnetic resonance in medicine 81 (4), 2746-2758, 2019
Mandates: US National Science Foundation, US National Institutes of Health
Approaching ultimate intrinsic specific absorption rate in radiofrequency shimming using high‐permittivity materials at 7 Tesla
GG Haemer, M Vaidya, CM Collins, DK Sodickson, GC Wiggins, ...
Magnetic resonance in medicine 80 (1), 391-399, 2018
Mandates: US National Science Foundation, US National Institutes of Health
Visualizing the effects of lactate dehydrogenase (LDH) inhibition and LDH‐A genetic ablation in breast and lung cancer with hyperpolarized pyruvate NMR
G Varma, P Seth, P Coutinho de Souza, C Callahan, J Pinto, M Vaidya, ...
NMR in Biomedicine 34 (8), e4560, 2021
Mandates: US National Institutes of Health
Acquisition and quantification pipeline for in vivo hyperpolarized 13C MR spectroscopy
D Hong, G Batsios, P Viswanath, AM Gillespie, M Vaidya, PEZ Larson, ...
Magnetic resonance in medicine 87 (4), 1673-1687, 2022
Mandates: US Department of Defense, US National Institutes of Health
A 13C/31P surface coil to visualize metabolism and energetics in the rodent brain at 3 Tesla
MV Vaidya, B Zhang, DH Hong, R Brown, G Batsios, P Viswanath, ...
Journal of Magnetic Resonance 343, 107286, 2022
Mandates: US National Institutes of Health
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