Narula, Navneet

Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning

Coudray, N., Ocampo, P. S., Sakellaropoulos, T., Narula, N., Snuderl, M., Fenyö, D., Moreira, A. L., Razavian, N., & Tsirigos, A. (2018) · Nature Medicine

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 2,930

Molecular Testing Guideline for the Selection of Patients With Lung Cancer for Treatment With Targeted Tyrosine Kinase Inhibitors: American Society of Clinical Oncology Endorsement of the College of American Pathologists/International Association for the Study of Lung Cancer/Association for Molecular Pathology Clinical Practice Guideline Update

Kalemkerian, G. P., Narula, N., Kennedy, E. B., Biermann, W. A., Donington, J., Leighl, N. B., Lew, M., Pantelas, J., Ramalingam, S. S., Reck, M., et al. (2018) · Journal of Clinical Oncology

Lung Cancer Treatments and MutationsCancer Genomics and Diagnostics

Cited by 492

A mouse model of mitochondrial disease reveals germline selection against severe mtDNA mutations

Fan, W., Waymire, K. G., Narula, N., Li, P., Rocher, C., Coskun, P. E., Vannan, M. A., Narula, J., MacGregor, G. R., & Wallace, D. C. (2008) · Science

Mitochondrial Function and PathologyEvolution and Genetic Dynamics

Cited by 466

Pathology of Peripheral Artery Disease in Patients With Critical Limb Ischemia

Narula, N., Dannenberg, A. J., Olin, J. W., Bhatt, D. L., Johnson, K. W., Nadkarni, G., Min, J., Torii, S., Poojary, P., Anand, S. S., et al. (2018) · Journal of the American College of Cardiology

Peripheral Artery Disease ManagementAortic Thrombus and Embolism

Cited by 326

Molecular Imaging of Matrix Metalloproteinase in Atherosclerotic Lesions

Fujimoto, S., Hartung, D., Ohshima, S., Edwards, D. S., Zhou, J., Yalamanchili, P., Azure, M., Fujimoto, A., Isobe, S., Matsumoto, Y., et al. (2008) · Journal of the American College of Cardiology

Protease and Inhibitor MechanismsCardiac Imaging and Diagnostics

Cited by 133