Radiomics: a new application from established techniques

od Parekh, Vishwa, Jacobs, Michael A.
izdano v Expert Rev Precis Med Drug Dev (2016)

Integrated radiomic framework for breast cancer and tumor biology using advanced machine learning and multiparametric MRI

od Parekh, Vishwa S., Jacobs, Michael A.
izdano v NPJ Breast Cancer (2017)

Deep learning and radiomics in precision medicine

od Parekh, Vishwa S., Jacobs, Michael A.
izdano v Expert Rev Precis Med Drug Dev (2019)

Multiparametric radiomics methods for breast cancer tissue characterization using radiological imaging

od Parekh, Vishwa S., Jacobs, Michael A.
izdano v Breast Cancer Res Treat (2020)

Radiomic features of the pancreas on CT imaging accurately differentiate functional abdominal pain, recurrent acute pancreatitis, and chronic pancreatitis

od Mashayekhi, Rouzbeh, Parekh, Vishwa S., Faghih, Mahya, Singh, Vikesh K., Jacobs, Michael A., Zaheer, Atif
izdano v Eur J Radiol (2019)

59. A RADIOMICS-BASED MACHINE LEARNING MODEL FOR DISTINGUISHING RADIATION NECROSIS FROM PROGRESSION OF BRAIN METASTASES TREATED WITH STEREOTACTIC RADIOSURGERY (SRS)

od Chen, Xuguang, Parekh, Vishwa, Peng, Luke, Chan, Michael, Soike, Michael, McTyre, Emory, Jacobs, Michael, Kleinberg, Lawrence
izdano v Neurooncol Adv (2020)

RADT-14. COMPARISON OF MACHINE LEARNING ALGORITHMS IN DISTINGUISHING RADIATION NECROSIS FROM PROGRESSION OF BRAIN METASTASES TREATED WITH STEREOTACTIC RADIOSURGERY (SRS)

od Chen, Xuguang, Parekh, Vishwa, peng, Luke, Chan, Michael, Soike, Michael, McTyre, Emory, Jacobs, Michael, Kleinberg, Lawrence
izdano v Neuro Oncol (2020)

Trainable High Resolution Melt Curve Machine Learning Classifier for Large-Scale Reliable Genotyping of Sequence Variants

od Athamanolap, Pornpat, Parekh, Vishwa, Fraley, Stephanie I., Agarwal, Vatsal, Shin, Dong J., Jacobs, Michael A., Wang, Tza-Huei, Yang, Samuel
Izdano 2014

Multiparametric deep learning tissue signatures for a radiological biomarker of breast cancer: Preliminary results

od Parekh, Vishwa S., Macura, Katarzyna J., Harvey, Susan C., Kamel, Ihab R., EI‐Khouli, Riham, Bluemke, David A., Jacobs, Michael A.
izdano v Med Phys (2019)

A Deep Learning System for Synthetic Knee MRI: Is Artificial Intelligence based Fat Suppressed Imaging Feasible?

od Fayad, Laura M., Parekh, Vishwa S., Luna, Rodrigo de Castro, Ko, Charles C., Tank, Dharmesh, Fritz, Jan, Ahlawat, Shivani, Jacobs, Michael A.
izdano v Invest Radiol (2021)

Integrated Multiparametric Radiomics and Informatics System for Characterizing Breast Tumor Characteristics with the OncotypeDX Gene Assay

od Jacobs, Michael A., Umbricht, Christopher B., Parekh, Vishwa S., El Khouli, Riham H., Cope, Leslie, Macura, Katarzyna J., Harvey, Susan, Wolff, Antonio C.
izdano v Cancers (Basel) (2020)

Longitudinal functional and imaging outcome measures in FKRP limb-girdle muscular dystrophy

od Leung, Doris G., Bocchieri, Alex E., Ahlawat, Shivani, Jacobs, Michael A., Parekh, Vishwa S., Braverman, Vladimir, Summerton, Katherine, Mansour, Jennifer, Bibat, Genila, Morris, Carl, Marraffino, Shannon, Wagner, Kathryn R.
izdano v BMC Neurol (2020)

Distinguishing True Progression From Radionecrosis After Stereotactic Radiation Therapy for Brain Metastases With Machine Learning and Radiomics

od Peng, Luke, Parekh, Vishwa, Huang, Peng, Lin, Doris D., Sheikh, Khadija, Baker, Brock, Kirschbaum, Talia, Silvestri, Francesca, Son, Jessica, Robinson, Adam, Huang, Ellen, Ames, Heather, Grimm, Jimm, Chen, Linda, Shen, Colette, Soike, Michael, McTyre, Emory, Redmond, Kristin, Lim, Michael, Lee, Junghoon, Jacobs, Michael A., Kleinberg, Lawrence
izdano v Int J Radiat Oncol Biol Phys (2018)