Vijaya B. Kolachalama, PhD, FAHA
Associate Professor, Medicine
Biography
Our mission is to create methods to fit the science and not make science fit the methods.
Specifically, we are interested in the following questions that have clinical relevance:
Neurodegeneration – How can we develop software frameworks that can assist dementia screening in various settings?
Digital pathology – How can we build clinical-grade software tools to complement the pathologist workflow?
We are also interested in the following frameworks that have computational relevance:
Domain generalization – Development of deep neural networks that can generalize well across multiple data cohorts
Representation learning – Construction of efficient neural models on high resolution data to process local and contextual information
Other Positions
- Member, Whitaker Cardiovascular Institute, Boston University
- Member, Evans Center for Interdisciplinary Biomedical Research, Boston University
- Assistant Professor, Computing & Data Sciences Administration, Boston University Chobanian & Avedisian School of Medicine, Graduate Medical Sciences
Education
- Indian Institute of Technology, Kharagpur, India, BS
- University of Southampton, UK, PhD
Publications
- Published on 5/19/2023
De Anda-Duran I, Kolachalama VB, Carmichael OT, Hwang PH, Fernandez C, Au R, Bazzano LA, Libon DJ. Midlife Neuropsychological Profiles and Associated Vascular Risk: The Bogalusa Heart Study. J Alzheimers Dis. 2023 May 19. PMID: 37212094.
Read at: PubMed - Published on 5/12/2023
Tseng AE, Carossino M, Gertje HP, O'Connell AK, Gummuluru S, Kolachalama VB, Balasuriya UBR, Connor JH, Bennett RS, Liu DX, Hensley LE, Crossland NA. Hepatic proinflammatory myeloid phenotypes are a hallmark of Ebola virus Kikwit pathogenesis in rhesus monkeys. Vet Pathol. 2023 May 12; 3009858231171906. PMID: 37170900.
Read at: PubMed - Published on 3/3/2023
Costello KE, Felson DT, Jafarzadeh SR, Guermazi A, Roemer FW, Segal NA, Lewis CE, Nevitt MC, Lewis CL, Kolachalama VB, Kumar D. Gait, physical activity and tibiofemoral cartilage damage: a longitudinal machine learning analysis in the Multicenter Osteoarthritis Study. Br J Sports Med. 2023 Mar 03. PMID: 36868795.
Read at: PubMed - Published on 1/30/2023
Zhang M, Lotfollahzadeh S, Elzinad N, Yang X, Elsadawi M, Gower A, Belghasem M, Shazly T, Kolachalama VB, Chitalia V. Alleviating iatrogenic effects of paclitaxel via anti-inflammatory treatment. Res Sq. 2023 Jan 30. PMID: 36778300.
Read at: PubMed - Published on 12/23/2022
Bacon KL, Felson DT, Jafarzadeh SR, Kolachalama VB, Hausdorff JM, Gazit E, Segal NA, Lewis CE, Nevitt MC, Kumar D. Relation of gait measures with mild unilateral knee pain during walking using machine learning. Sci Rep. 2022 Dec 23; 12(1):22200. PMID: 36564397.
Read at: PubMed - Published on 10/27/2022
Zheng Y, Gindra RH, Green EJ, Burks EJ, Betke M, Beane JE, Kolachalama VB. A Graph-Transformer for Whole Slide Image Classification. IEEE Trans Med Imaging. 2022 Nov; 41(11):3003-3015. PMID: 35594209.
Read at: PubMed - Published on 7/7/2022
Shazly T, Torres WM, Secemsky EA, Chitalia VC, Jaffer FA, Kolachalama VB. Understudied factors in drug-coated balloon design and evaluation: A biophysical perspective. Bioeng Transl Med. 2023 Jan; 8(1):e10370. PMID: 36684110.
Read at: PubMed - Published on 7/7/2022
Amini S, Hao B, Zhang L, Song M, Gupta A, Karjadi C, Kolachalama VB, Au R, Paschalidis IC. Automated detection of mild cognitive impairment and dementia from voice recordings: A natural language processing approach. Alzheimers Dement. 2022 Jul 07. PMID: 35796399.
Read at: PubMed - Published on 7/1/2022
Griffith KN, Schwartzman DA, Pizer SD, Bor J, Kolachalama VB, Jack B, Garrido MM. Local Supply Of Postdischarge Care Options Tied To Hospital Readmission Rates. Health Aff (Millwood). 2022 Jul; 41(7):1036-1044. PMID: 35787076.
Read at: PubMed - Published on 6/20/2022
Qiu S, Miller MI, Joshi PS, Lee JC, Xue C, Ni Y, Wang Y, De Anda-Duran I, Hwang PH, Cramer JA, Dwyer BC, Hao H, Kaku MC, Kedar S, Lee PH, Mian AZ, Murman DL, O'Shea S, Paul AB, Saint-Hilaire MH, Alton Sartor E, Saxena AR, Shih LC, Small JE, Smith MJ, Swaminathan A, Takahashi CE, Taraschenko O, You H, Yuan J, Zhou Y, Zhu S, Alosco ML, Mez J, Stein TD, Poston KL, Au R, Kolachalama VB. Multimodal deep learning for Alzheimer's disease dementia assessment. Nat Commun. 2022 Jun 20; 13(1):3404. PMID: 35725739.
Read at: PubMed
View 57 more publications: View full profile at BUMC