Vijaya B. Kolachalama, Ph.D.

Vijaya+K

 

 

 


Assistant Professor of Medicine

Education

BS, Aerospace Engineering, Indian Institute of Technology, Kharagpur, West Bengal, India, 1998-2002
PhD, Mechanical Engineering, University of Southampton, Southampton, UK, 2003-2006
Postdoctoral Associate, Elazer Edelman Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA, 2006-2011
ORISE Fellow, Division of Cardiovascular Devices, Office of Device Evaluation, Center for Devices and Radiological Health, US Food and Drug Administration, Shady Grove, MD, USA, 2008-2010

Contact Information

Email: vkola@bu.edu
Laboratory website: http://sites.bu.edu/vkola

Research Interests

Vijaya Kolachalama is an Assistant Professor within the Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine. Research in his group is focused on developing deep learning algorithms for disease risk assessment as well as biomarker development and designing software technologies to assist therapeutic development and clinical decision-making. Current projects include development of fully convolutional networks and multimodal fusion models to predict the risk of Alzheimer’s disease and osteoarthritis using digital data such as MR imaging, and computer vision related tasks such as semantic segmentation, image classification and object detection for digital pathology applications. His group is also developing recurrent neural network approaches for protein sequence analysis.

Selected Publications

Kolachalama VB, Singh P, Lin CQ, Mun D, Belghasem ME, Henderson JM, Francis JM, Salant DJ, Chitalia VC. Association of Pathological Fibrosis With Renal Survival Using Deep Neural Networks. Kidney Int Rep. 2018 Jan 11;3(2):464-475.

Qiu S, Chang GH, Panagia M, Gopal DM, Au R, Kolachalama VB. Fusion of deep learning models of MRI scans, Mini-Mental State Examination, and logical memory test enhances diagnosis of mild cognitive impairment. Alzheimers Dement (Amst). 2018 Sep 28;10:737-749.

Li J, Ogrodnik M, Kolachalama VB, Lin H, Au R. Assessment of the Mid-Life Demographic and Lifestyle Risk Factors of Dementia Using Data from the Framingham Heart Study Offspring Cohort. J Alzheimers Dis. 2018;63(3):1119-1127.

Kolachalama VB, Shashar M, Alousi F, Shivanna S, Rijal K, Belghasem ME, Walker J, Matsuura S, Chang GH, Gibson CM, Dember LM, Francis JM, Ravid K, Chitalia VC. Uremic Solute-Aryl Hydrocarbon Receptor-Tissue Factor Axis Associates with Thrombosis after Vascular Injury in Humans. J Am Soc Nephrol. 2018 Mar;29(3):1063-1072.

Kolandaivelu K, O’Brien CC, Shazly T, Edelman ER, Kolachalama VB. Enhancing physiologic simulations using supervised learning on coarse mesh solutions. J R Soc Interface. 2015 Mar 6;12(104).

Kolachalama VB, Pacetti SD, Franses JW, Stankus JJ, Zhao HQ, Shazly T, Nikanorov A, Schwartz LB, Tzafriri AR, Edelman ER. Mechanisms of tissue uptake and retention in Zotarolimus-coated balloon therapy. Circulation. 2013 May 21;127(20):2047-55.