Amita Shukla-Dave

发表

Multisite concordance of apparent diffusion coefficient measurements across the NCI Quantitative Imaging Network

Thomas E. Yankeelov, Wei Huang, Jayashree Kalpathy-Cramer, 2017, Journal of medical imaging.

Toward uniform implementation of parametric map Digital Imaging and Communication in Medicine standard in multisite quantitative diffusion imaging studies

Thomas E. Yankeelov, Mark Muzi, Michael Boss, 2017, Journal of medical imaging.

Motion correction of multi-b-value diffusion-weighted imaging in the liver.

Joseph O Deasy, Oguz Akin, Richard K G Do, 2012, Academic radiology.

Library of deep-learning image segmentation and outcomes model-implementations.

Harini Veeraraghavan, Joseph O Deasy, Jung Hun Oh, 2020, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

Technical Note: Extension of CERR for computational radiomics: A comprehensive MATLAB platform for reproducible radiomics research.

Harini Veeraraghavan, Joseph O Deasy, Jung Hun Oh, 2018, Medical physics.

Reproducibility test of radiomics using network analysis and Wasserstein K-means algorithm

Yao Yu, Joseph O. Deasy, Aditya Apte, 2019 .

Library of model implementations for sharing deep-learning image segmentation and outcomes models

Harini Veeraraghavan, Joseph O. Deasy, Andrew Jackson, 2019, bioRxiv.

Reproducibility of radiomic features using network analysis and its application in Wasserstein k-means clustering

Joseph O. Deasy, Harini Veeraraghavan, Jung Hun Oh, 2021, Journal of medical imaging.

Quality control of radiomic features using 3D-printed CT phantoms

Christopher Kanan, Jung Hun Oh, Aditya Apte, 2021, Journal of medical imaging.

Functional magnetic resonance imaging in prostate cancer.

Amita Shukla-Dave, Michael Seitz, Alessandro Sciarra, 2009, European urology.

MR imaging of the prostate in clinical practice

Yousef Mazaheri, Amita Shukla-Dave, Hedvig Hricak, 2008, Magnetic Resonance Materials in Physics, Biology and Medicine.

Prediction of treatment response of head and neck cancers with P-31 MR spectroscopy from pretreatment relative phosphomonoester levels.

Mark Rijpkema, Arend Heerschap, Jason A Koutcher, 2002, Academic radiology.

Tumor metabolism and perfusion in head and neck squamous cell carcinoma: pretreatment multimodality imaging with 1H magnetic resonance spectroscopy, dynamic contrast-enhanced MRI, and [18F]FDG-PET.

Amita Shukla-Dave, Heiko Schöder, J. Shah, 2012, International journal of radiation oncology, biology, physics.

Intraobserver variability in the MR determination of tumor volume in squamous cell carcinoma of the pharynx.

Regina O Redfern, Amita Shukla-Dave, Mitchell Machtay, 2004, AJNR. American journal of neuroradiology.

MRI of the prostate: Clinical relevance and emerging applications

Yousef Mazaheri, Amita Shukla-Dave, Hedvig Hricak, 2011, Journal of magnetic resonance imaging : JMRI.

Early posttreatment assessment of MRI perfusion biomarkers can predict long-term response of lung cancer brain metastases to stereotactic radiosurgery

Jung Hun Oh, Andrei Holodny, Amita Shukla-Dave, 2018, Neuro-oncology.

Average arterial input function for quantitative dynamic contrast enhanced magnetic resonance imaging of neck nodal metastases

Wei Huang, Jason A Koutcher, Amita Shukla-Dave, 2009, BMC medical physics.

Prostate tumor volume measurement with combined T2-weighted imaging and diffusion-weighted MR: correlation with pathologic tumor volume.

Jason A Koutcher, Yousef Mazaheri, Chaya S Moskowitz, 2009, Radiology.

Using diffusion-weighted MRI to predict aggressive histological features in papillary thyroid carcinoma: a novel tool for pre-operative risk stratification in thyroid cancer.

Joseph O Deasy, Mithat Gonen, Yousef Mazaheri, 2015, Thyroid : official journal of the American Thyroid Association.

Dynamic contrast-enhanced magnetic resonance imaging as a predictor of outcome in head-and-neck squamous cell carcinoma patients with nodal metastases.

Jason A Koutcher, Amita Shukla-Dave, Sasan Karimi, 2012, International journal of radiation oncology, biology, physics.

Predicting post-external beam radiation therapy PSA relapse of prostate cancer using pretreatment MRI.

Amita Shukla-Dave, Darko Pucar, Hedvig Hricak, 2010, International journal of radiation oncology, biology, physics.

ADC measurements on the unity MR-linac - a recommendation on behalf of the elekta unity MR-linac consortium.

Rob H.N. Tijssen, Eric S. Paulson, Daniela Thorwarth, 2020, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Diffusion‐weighted imaging outside the brain: Consensus statement from an ISMRM‐sponsored workshop

Lawrence Tanenbaum, Sebastiano Barbieri, Dow-Mu Koh, 2016, Journal of magnetic resonance imaging : JMRI.

Prostate cancer: identification with combined diffusion-weighted MR imaging and 3D 1H MR spectroscopic imaging--correlation with pathologic findings.

Jason A Koutcher, Yousef Mazaheri, Chaya S Moskowitz, 2008, Radiology.

The role of MRI and MRSI in diagnosis, treatment selection, and post-treatment follow-up for prostate cancer.

Amita Shukla-Dave, Oguz Akin, Darko Pucar, 2009, Clinical advances in hematology & oncology : H&O.

Diffusion-weighted MRI of the prostate at 3.0 T: comparison of endorectal coil (ERC) MRI and phased-array coil (PAC) MRI-The impact of SNR on ADC measurement.

H Alberto Vargas, Yousef Mazaheri, Amita Shukla-Dave, 2013, European journal of radiology.

Noninvasive assessment of tumor microenvironment using dynamic contrast-enhanced magnetic resonance imaging and 18F-fluoromisonidazole positron emission tomography imaging in neck nodal metastases.

Jason A Koutcher, Amita Shukla-Dave, Heiko Schöder, 2010, International journal of radiation oncology, biology, physics.

Computational Modeling of Interstitial Fluid Pressure and Velocity in Head and Neck Cancer Based on Dynamic Contrast-Enhanced Magnetic Resonance Imaging: Feasibility Analysis

Joseph O. Deasy, Jung Hun Oh, James R. Ewing, 2020, Tomography.

Role of MRI in prostate cancer detection

Amita Shukla-Dave, Hedvig Hricak, H. Hricak, 2014, NMR in biomedicine.

Prostate cancer: correlation of MR imaging and MR spectroscopy with pathologic findings after radiation therapy-initial experience.

Jason A Koutcher, Chaya S Moskowitz, Amita Shukla-Dave, 2005, Radiology.