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E

Elin Richardsen

uit the arctic university of tromso
H指数:38
被引数:4,258

个人简介

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教育背景

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工作经历

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荣誉奖项

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Generalisation of automatic tumour segmentation in histopathological whole-slide images across multiple cancer types

多癌种组织病理全切片图像中自动肿瘤分割的泛化

npj Precision Oncology
IF8
2026-02-040
OAAI
Ole-Johan Skrede; Manohar Pradhan; Maria Xepapadakis Isaksen; Tarjei Sveinsgjerd Hveem; Ljiljana Vlatkovic; Arild Nesbakken; Kristina Lindemann; Gunnar B. Kristensen; Jenneke Kasius; Alain G. Zeimet; Odd Terje Brustugun; Lill-Tove Rasmussen Busund; Elin H. Richardsen; Erik Skaaheim Haug; Bjørn Brennhovd; Emma Rewcastle; Melinda Lillesand; Vebjørn Kvikstad; Emiel Janssen; David J. Kerr; Knut Liestøl; Fritz Albregtsen; Andreas Kleppe
Applicability of mitotic figure counting by deep learning: a development and pan-cancer validation study

深度学习在细胞分裂相计数中的应用：一项开发与泛癌症验证研究

FEBS Open Bio
IF2.3
2026-02-010
OAAI
Kalsnes, Joakim; Isaksen, Maria X.; Julbo, Frida; Pradhan, Manohar; Kleppe, Andreas; De Raedt, Sepp; Skrede, Ole-Johan; Torheim, Turid; Nesheim, John Arne; Mohn, Hans Martin; Askautrud, Hanne A.; Cyll, Karolina; Kildal, Wanja; Rewcastle, Emma; Lillesand, Melinda; Kvikstad, Vebjorn; Janssen, Emiel; Jones, Robert; Brustugun, Odd Terje; Brennhovd, Bjorn; Haug, Erik Skaaheim; Busund, Lill-Tove Rasmussen; Richardsen, Elin; Andersen, Sigve; Donnem, Tom; Lindemann, Kristina; Kristensen, Gunnar; Shepherd, Neil A.; Novelli, Marco; Liestol, Knut; Kerr, David; Danielsen, Havard E.; Hveem, Tarjei S.
Integrating artificial intelligence (AI)-based lymphocytic infiltration assessment in early stage NSCLC: A sub-study of the TNM-I trial

整合基于人工智能（AI）的淋巴细胞浸润评估在早期非小细胞肺癌中的应用：TNM-I试验的子研究

ANNALS OF ONCOLOGY
IF65.4
2024-09-010
PRE
Jabar, F.; Andersen, S.; Paulsen, E-E.; Tafavvoghi, M.; Richardsen, E.; Wahl, S. G. F.; Petersen, R. H.; Bondgaard, A-L. R.; Licht, P. B.; Lund-Iversen, M.; Gronberg, B. H.; Fjellbirkeland, L.; Helland, A.; Pohl, M.; Kwiatkowski, D.; Busund, L-T. R.; Donnem, T.; Rakaee, M.
Machine learning-based immune phenotypes correlate with STK11/KEAP1 co-mutations and prognosis in resectable NSCLC: a sub-study of the TNM-I trial

基于机器学习的免疫表型与可切除NSCLC中STK11/KEAP1共突变和预后相关: tnm-i试验的子研究

ANNALS OF ONCOLOGY
IF65.4
2023-07-011
OAAI
Rakaee, M.; Andersen, S.; Giannikou, K.; Paulsen, E. -E; Kilvaer, T. K.; Busund, L. -T. R.; Berg, T.; Richardsen, E.; Lombardi, A. P.; Adib, E.; Pedersen, M. I.; Tafavvoghi, M.; Wahl, S. G. F.; Petersen, R. H.; Bondgaard, A. L.; Yde, C. W.; Baudet, C.; Licht, P.; Lund-Iversen, M.; Gronberg, B. H.; Fjellbirkeland, L.; Helland, A.; Pohl, M.; Kwiatkowski, D. J.; Donnem, T.

研究方向

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S
Sigve Andersen
H 指数:38论文数:117被引数:5,502
T
Tom Dønnem
H 指数:45论文数:197被引数:7,600
R
Roy M. Bremnes
H 指数:67论文数:355被引数:1.7万
L
Lill‐Tove Busund
H 指数:46论文数:163被引数:7,394
M
Mehrdad Rakaee
H 指数:28论文数:332被引数:2,543
S
Samer Al‐Saad
H 指数:39论文数:90被引数:5,563
T
Thomas K. Kilvær
H 指数:27论文数:74被引数:2,269
E
Erna‐Elise Paulsen
H 指数:18论文数:41被引数:1,664
N
Nora Ness
H 指数:16论文数:25被引数:813
Y
Yngve Nordby
H 指数:15论文数:17被引数:725