Michael J Becich

发表

Explainable AI (xAI) for Anatomic Pathology.

D Lansing Taylor, Akif B Tosun, Filippo Pullara, 2020, Advances in anatomic pathology.

How can we improve Science, Technology, Engineering, and Math education to encourage careers in Biomedical and Pathology Informatics?

Andrew J King, Michael J Becich, Rahul Uppal, 2016, Journal of pathology informatics.

Evaluating de novo locus-disease discoveries in GWAS using the signal-to-noise ratio.

Michael J Becich, Xia Jiang, M Michael Barmada, 2011, AMIA ... Annual Symposium proceedings. AMIA Symposium.

Finding Collaborators: Toward Interactive Discovery Tools for Research Network Systems

Harry Hochheiser, Michael J Becich, Charles D Borromeo, 2014, Journal of medical Internet research.

Implementation and evaluation of a negation tagger in a pipeline-based system for information extract from pathology reports.

Jules J Berman, Elizabeth Legowski, Rebecca S Crowley, 2004, Studies in health technology and informatics.

Open-source Software Sustainability Models: Initial White Paper From the Informatics Technology for Cancer Research Sustainability and Industry Partnership Working Group

Christos Davatzikos, Jonathan C Silverstein, Guergana Savova, 2020, Journal of medical Internet research.

The development and deployment of Common Data Elements for tissue banks for translational research in cancer – An emerging standard based approach for the Mesothelioma Virtual Tissue Bank

Rajiv Dhir, Waqas Amin, Anil V Parwani, 2008, BMC Cancer.

High prevalence of screening-detected prostate cancer among Afro-Caribbeans: the Tobago Prostate Cancer Survey.

Rajiv Dhir, Lewis H Kuller, Michael J Becich, 2002, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology.

In vitro transcription amplification and labeling methods contribute to the variability of gene expression profiling with DNA microarrays.

Michael J Becich, John R Gilbertson, M. Becich, 2006, The Journal of molecular diagnostics : JMD.

Pathology and patient safety: the critical role of pathology informatics in error reduction and quality initiatives.

Michael J Becich, John R Gilbertson, Ashokkumar A. Patel, 2004, Clinics in laboratory medicine.

Availability and quality of paraffin blocks identified in pathology archives: A multi-institutional study by the Shared Pathology Informatics Network (SPIN)

Anil V Parwani, Isaac S Kohane, Michael J Becich, 2007, BMC Cancer.

Accrual to Clinical Trials (ACT): A Clinical and Translational Science Award Consortium Network

Shyam Visweswaran, Douglas MacFadden, Shawn N Murphy, 2018, JAMIA open.

An informatics model for tissue banks – Lessons learned from the Cooperative Prostate Cancer Tissue Resource

Rajiv Dhir, Anil V Parwani, Milton W Datta, 2006, BMC Cancer.

A multidisciplinary approach to honest broker services for tissue banks and clinical data

Rajiv Dhir, Michael J Becich, Ashokkumar A. Patel, 2008, Cancer.

Computational Pathology: A Path Ahead.

Alexis B. Carter, Stephen J Galli, John D Pfeifer, 2016, Archives of pathology & laboratory medicine.

Provider management of and satisfaction with laboratory testing in the nursing home setting: results of a national internet-based survey.

Subashan Perera, Michael J Becich, Yazan F. Roumani, 2009, Journal of the American Medical Directors Association.

Database construction for improving patient safety by examining pathology errors.

Michael J Becich, John R Gilbertson, Stephen S Raab, 2005, American journal of clinical pathology.

The Importance of Pathology Informatics in Translational Research

Anil V Parwani, Rebecca S Crowley, Michael J Becich, 2007, Advances in anatomic pathology.

Synoptic tool for reporting of hematological and lymphoid neoplasms based on World Health Organization classification and College of American Pathologists checklist

Anil V Parwani, Anthony L. Piccoli, Michael J Becich, 2007, BMC Cancer.

The Cooperative Prostate Cancer Tissue Resource

Virgilia Macias, Rajiv Dhir, Milton W Datta, 2004, Clinical Cancer Research.

A Federated Network for Translational Cancer Research Using Clinical Data and Biospecimens.

Rajiv Dhir, Girish Chavan, Eugene Tseytlin, 2015, Cancer research.