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Louis J Vaickus, MD, PhD

Title(s):
Assistant Professor of Pathology and Laboratory Medicine

Additional Titles/Positions/Affiliations:
Medical Director of Pathology Informatics

Department(s):
Pathology and Laboratory Medicine

Education:
BA, Hamilton College, Clinton NY, 2001-2005
MD, Boston University School of Medicine, Boston MA, 2005-2012
PhD, Boston University School of Medicine, Boston MA, 2005-2012
Anatomic Pathology Residency, Massachusetts General Hospital, Boston MA, 2012-2016
Cytopathology Fellowship, Massachusetts General Hospital, Boston MA, 2014-2015

Contact Information:

1 Medical Center Drive
Lebanon NH 03766

Office: Borwell 4
Phone: 53844
Email: Louis.J.Vaickus@Dartmouth.edu


Professional Interests:

Informatics
Deep learning
Medical image analysis
Automation
Programming

Grant Information:

SYNERGY Clinical Research Fellow, 2018-2019


Selected Publications:

 

Evaluation of a Deep Neural Network for Automated Classification of Colorectal Polyps on Histopathologic Slides.
Wei JW, Suriawinata AA, Vaickus LJ, Ren B, Liu X, Lisovsky M, Tomita N, Abdollahi B, Kim AS, Snover DC, Baron JA, Barry EL, Hassanpour S
JAMA Netw Open. 2020 Apr 1;3(4):e203398. doi: 10.1001/jamanetworkopen.2020.3398. Epub 2020 Apr 1.
PMID: 32324237

A machine learning algorithm for simulating immunohistochemistry: development of SOX10 virtual IHC and evaluation on primarily melanocytic neoplasms.
Jackson CR, Sriharan A, Vaickus LJ
Mod Pathol. 2020 Apr 1; doi: 10.1038/s41379-020-0526-z. Epub 2020 Apr 1.
PMID: 32238879

PathFlowAI: A High-Throughput Workflow for Preprocessing, Deep Learning and Interpretation in Digital Pathology.
Levy JJ, Salas LA, Christensen BC, Sriharan A, Vaickus LJ
Pac Symp Biocomput. 2020;25:403-414.
PMID: 31797614

Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks.
Wei JW, Tafe LJ, Linnik YA, Vaickus LJ, Tomita N, Hassanpour S
Sci Rep. 2019 Mar 4;9(1):3358. doi: 10.1038/s41598-019-40041-7. Epub 2019 Mar 4.
PMID: 30833650

Automating the Paris System for urine cytopathology-A hybrid deep-learning and morphometric approach.
Vaickus LJ, Suriawinata AA, Wei JW, Liu X
Cancer Cytopathol. 2019 Feb;127(2):98-115. doi: 10.1002/cncy.22099. Epub 2019 Jan 31.
PMID: 30702803

Pancreatic mixed acinar-neuroendocrine carcinoma, a unique diagnostic challenge on FNA cytology: A small series of two cases with literature review.
Strait AM, Sharma N, Tsapakos MJ, Vaickus LJ, Liu X
Diagn Cytopathol. 2018 Nov;46(11):971-976. doi: 10.1002/dc.23981. Epub 2018 Oct 3.
PMID: 30284406

Identifying aerosolized cyanobacteria in the human respiratory tract: A proposed mechanism for cyanotoxin-associated diseases.
Facciponte DN, Bough MW, Seidler D, Carroll JL, Ashare A, Andrew AS, Tsongalis GJ, Vaickus LJ, Henegan PL, Butt TH, Stommel EW
Sci Total Environ. 2018 Dec 15;645:1003-1013. doi: 10.1016/j.scitotenv.2018.07.226. Epub 2018 Jul 20.
PMID: 30248825

Young investigator challenge: Comparison of 2 different methods of manual slide screening in semiautomated gynecologic cytology.
Vaickus LJ, Wilbur DC, Sweeney BJ, Renshaw AA
Cancer Cytopathol. 2015 Nov;123(11):650-8. doi: 10.1002/cncy.21581.
PMID: 26769586

Impact of reclassifying noninvasive follicular variant of papillary thyroid carcinoma on the risk of malignancy in The Bethesda System for Reporting Thyroid Cytopathology.
Faquin WC, Wong LQ, Afrogheh AH, Ali SZ, Bishop JA, Bongiovanni M, Pusztaszeri MP, VandenBussche CJ, Gourmaud J, Vaickus LJ, Baloch ZW
Cancer Cytopathol. 2016 Mar;124(3):181-7. doi: 10.1002/cncy.21631. Epub 2015 Oct 12.
PMID: 26457584

Young investigator challenge: The accuracy of the nuclear-to-cytoplasmic ratio estimation among trained morphologists.
Vaickus LJ, Tambouret RH
Cancer Cytopathol. 2015 Sep;123(9):524-30. doi: 10.1002/cncy.21585.
PMID: 26375883

View more publications on PubMed