Louis J Vaickus, MD, PhD
Assistant Professor of Pathology and Laboratory Medicine
Medical Director of Pathology Informatics
Pathology and Laboratory Medicine
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
1 Medical Center Drive
Lebanon NH 03766
Office: Borwell 4
Medical image analysis
SYNERGY Clinical Research Fellow, 2018-2019
Using molecular testing to improve the management of thyroid nodules with indeterminate cytology: an institutional experience with review of molecular alterations.
MethylSPWNet and MethylCapsNet: Biologically Motivated Organization of DNAm Neural Networks, Inspired by Capsule Networks.
Atypia of undetermined significance in thyroid cytology: Nuclear atypia and architectural atypia are associated with different molecular alterations and risks of malignancy.
A large-scale internal validation study of unsupervised virtual trichrome staining technologies on nonalcoholic steatohepatitis liver biopsies.
Fine needle aspiration of an intranodal follicular dendritic cell sarcoma: A case report with molecular analysis and review of the literature.
Evaluation of a Deep Neural Network for Automated Classification of Colorectal Polyps on Histopathologic Slides.
A machine learning algorithm for simulating immunohistochemistry: development of SOX10 virtual IHC and evaluation on primarily melanocytic neoplasms.
PathFlowAI: A High-Throughput Workflow for Preprocessing, Deep Learning and Interpretation in Digital Pathology.
Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks.
Automating the Paris System for urine cytopathology-A hybrid deep-learning and morphometric approach.