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
Journal of Pathology Informatics 2024 /
Masoud Tafavvoghi,
Anders Sildnes,
Mehrdad Rakaee,
Nikita Shvetsov,
Lars Ailo Aslaksen Bongo,
Lill-Tove Rasmussen Busund
m.fl.:
Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images
Journal of Pathology Informatics 2024 /
Louise Ludvigsen,
Mads Perner,
Bjørn-Richard Pedersen,
Rafael Nozal Cañadas,
Anders Sildnes,
Nikita Shvetsov
m.fl.:
Automated Coding of Historical Danish Cause of death Data Using String Similarity
Digital Humanities in the Nordic and Baltic Countries Publications (DHNB Publications) 2023
Nikita Shvetsov,
Morten Grønnesby,
Edvard Pedersen,
Kajsa Møllersen,
Lill-Tove Rasmussen Busund,
Ruth Schwienbacher
m.fl.:
A Pragmatic Machine Learning Approach to Quantify Tumor-Infiltrating Lymphocytes in Whole Slide Images
Cancers 2022 /
Bjørn-Richard Pedersen,
Einar Holsbø,
Trygve Andersen,
Nikita Shvetsov,
Johan Ravn,
Hilde Leikny Sommerseth
m.fl.:
Lessons Learned Developing and Using a Machine Learning Model to Automatically Transcribe 2.3 Million Handwritten Occupation Codes
Historical Life Course Studies 06. januar 2022 / /
Bjørn Fjukstad,
Nikita Shvetsov,
Therese Haugdahl Nøst,
Hege Marie Bøvelstad,
Till Halbach,
Einar Holsbø
m.fl.:
Reproducible Data Management and Analysis using R
Universitetsforlaget 2020 /
Bjørn-Richard Pedersen,
Hilde Leikny Sommerseth,
Einar Jakobsen Holsbø,
Rigmor Katrine Johansen,
Trygve Andersen,
Nikita Shvetsov
m.fl.:
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
m.fl.:
Automated approaches for Transcription of 20th Century Norwegian Census Microdata - Lessons Learned
2021
Realfagbygget A217