Nikita Shvetsov
Masoud Tafavvoghi,
Lars Ailo Aslaksen Bongo,
Nikita Shvetsov,
Lill-Tove Rasmussen Busund,
Kajsa Møllersen
:
Publicly available datasets of breast histopathology H&E whole-slide images: A scoping review
Masoud Tafavvoghi,
Anders Sildnes,
Mehrdad Rakaee,
Nikita Shvetsov,
Lars Ailo Aslaksen Bongo,
Lill-Tove Rasmussen Busund
et al.:
Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images
Louise Ludvigsen,
Mads Perner,
Bjørn-Richard Pedersen,
Rafael Nozal Cañadas,
Anders Sildnes,
Nikita Shvetsov
et al.:
Automated Coding of Historical Danish Cause of death Data Using String Similarity
Digital Humanities in the Nordic and Baltic Countries Publications (DHNB Publications) 2023 DOI
Nikita Shvetsov,
Morten Grønnesby,
Edvard Pedersen,
Kajsa Møllersen,
Lill-Tove Rasmussen Busund,
Ruth Schwienbacher
et al.:
A Pragmatic Machine Learning Approach to Quantify Tumor-Infiltrating Lymphocytes in Whole Slide Images
Bjørn-Richard Pedersen,
Einar Holsbø,
Trygve Andersen,
Nikita Shvetsov,
Johan Ravn,
Hilde Leikny Sommerseth
et al.:
Lessons Learned Developing and Using a Machine Learning Model to Automatically Transcribe 2.3 Million Handwritten Occupation Codes
Bjørn Fjukstad,
Nikita Shvetsov,
Therese Haugdahl Nøst,
Hege Marie Bøvelstad,
Till Halbach,
Einar Holsbø
et al.:
Reproducible Data Management and Analysis using R
Bjørn-Richard Pedersen,
Hilde Leikny Sommerseth,
Einar Jakobsen Holsbø,
Rigmor Katrine Johansen,
Trygve Andersen,
Nikita Shvetsov
et al.:
Automatic transcription of handwritten Norwegian occupation codes: The lessons learned
2023
Lars Ailo Bongo,
Bjørn-Richard Pedersen,
Einar Holsbø,
Trygve Andersen,
Tim Alexander Teige,
Nikita Shvetsov
et al.:
Automated approaches for Transcription of 20th Century Norwegian Census Microdata - Lessons Learned
2021
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