Lill-Tove Rasmussen Busund
Job description
Leader Translational Cancer Research IMB
Amin H Nassar,
Elias Bou Farhat,
Hassan Abushukair,
Michel Alchoueriy,
Samer Salem,
Marc Machaalani
et al.:
Molecular and clinical insights of trastuzumab deruxtecan efficacy in advanced breast cancer
Falah Jabar Rahim,
Lill-Tove Rasmussen Busund,
Biagio Ricciuti,
Masoud Tafavvoghi,
Thomas Karsten Kilvær,
David J. Pinato
et al.:
Fully Automatic Content-Aware Tiling Pipeline for Pathology Whole Slide Images
Dagny Førde,
Thomas Karsten Kilvær,
Mona Irene Pedersen,
Ana Paola Lombardi,
Irene D’arsiè,
Erna-Elise Paulsen
et al.:
Prognostic impact of miR-17-5p and miR-20a-5p in NSCLC diverge in subgroups according to lymph node status
Bernhard Scheiner,
Pasquale Lombardi,
Antonio D’Alessio,
Gwangil Kim,
Masoud Tafavvoghi,
Oleksandr Petrenko
et al.:
Preliminary qualification of a machine learning-based assessment of the tumor immune infiltrate as a predictor of outcome in patients with hepatocellular carcinoma treated with atezolizumab plus bevacizumab
Nikita Shvetsov,
Thomas Karsten Kilvær,
Masoud Tafavvoghi,
Anders Sildnes,
Kajsa Møllersen,
Lill-Tove Rasmussen Busund
et al.:
A lightweight and extensible cell segmentation and classification model for H&E-stained cancer whole slide images
Nikita Shvetsov,
Anders Sildnes,
Masoud Tafavvoghi,
Lill-Tove Rasmussen Busund,
Stig Manfred Dalen,
Kajsa Møllersen
et al.:
Fast TILs—A pipeline for efficient TILs estimation in non-small cell lung cancer
Eiliv Lund,
Lill-Tove Rasmussen Busund,
Lars Holden
:
Curvilinear incidence models for parity in the entire fertility range for cancers of the breast, ovary, and endometrium: A follow-up of the Norwegian 1960 Census
Dagny Førde,
Thomas Karsten Kilvær,
Mona Irene Pedersen,
Egil Støre Blix,
Ilona Halva Urbarova,
Erna-Elise Paulsen
et al.:
High density of TCF1+ stem-like tumor-infiltrating lymphocytes is associated with favorable disease-specific survival in NSCLC
Mehrdad Rakaee,
Masoud Tafavvoghi,
Biagio Ricciuti,
Joao V Alessi,
Alessio Cortellini,
Fabrizio Citarella
et al.:
Deep Learning Model for Predicting Immunotherapy Response in Advanced Non-Small Cell Lung Cancer
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
Eline Sol Garthsdatter Tylden,
Andrè Berli Delgado,
Marko Lukic,
Line Moi,
Lill-Tove Rasmussen Busund,
Mona Irene Pedersen
et al.:
Roles of miR-20a-5p in breast cancer based on the clinical and multi-omic (CAMO) cohort and in vitro studies
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
Hallgeir Selven,
Lill-Tove Rasmussen Busund,
Sigve Andersen,
Mona Irene Pedersen,
Ana Paola Lombardi,
Thomas Karsten Kilvær
:
High Expression of IRS-1, RUNX3 and SMAD4 Are Positive Prognostic Factors in Stage I–III Colon Cancer
Eiliv Lund,
Lill-Tove Rasmussen Busund,
Lars Holden
:
The curvilinear relationships between grand parity and incidence of hormone-dependent cancers; follow-up of postmenopausal women in the Norwegian 1960 Census
Erna-Elise Paulsen,
Sigve Andersen,
Mehrdad Rakaee,
Mona Irene Pedersen,
Ana Paola Lombardi,
Mette Pøhl
et al.:
Impact of microvessel patterns and immune status in NSCLC: a non-angiogenic vasculature is an independent negative prognostic factor in lung adenocarcinoma
André Berli Delgado,
Eline Sol Garthsdatter Tylden,
Marko Lukic,
Line Haugan Moi,
Lill-Tove Rasmussen Busund,
Eiliv Lund
et al.:
Cohort profile: The Clinical and Multi-omic (CAMO) cohort, part of the Norwegian Women and Cancer (NOWAC) study
Mehrdad Rakaee,
Sigve Andersen,
K. Giannikou,
Erna-Elise Paulsen,
Thomas Karsten Kilvær,
Lill-Tove Rasmussen Busund
et al.:
Machine learning-based immune phenotypes correlate with STK11/KEAP1 co-mutations and prognosis in resectable NSCLC: a sub-study of the TNM-I trial
Marta Tellez Gabriel,
Xavier Tekpli,
Trine M. Reine,
Beate Hegge,
Stephanie Rose Nielsen,
Meng Chen
et al.:
Serglycin is Involved in TGF-β induced epithelial-mesenchymal transition and is highly expressed by immune cells in breast cancer tissue
Hallgeir Selven,
Sigve Andersen,
Mona Irene Pedersen,
Ana Paola Lombardi,
Lill-Tove Rasmussen Busund,
Thomas Karsten Kilvær
:
High expression of miR-17-5p and miR-20a-5p predicts favorable disease-specific survival in stage I-III colon cancer
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
Hallgeir Selven,
Lill-Tove Rasmussen Busund,
Sigve Andersen,
Roy M. Bremnes,
Thomas Karsten Kilvær
:
High expression of microRNA‑126 relates to favorable prognosis for colon cancer patients
Mie Jareid,
Igor Snapkov,
Marit Holden,
Lill-Tove Rasmussen Busund,
Eiliv Lund,
Therese Haugdahl Nøst
:
The blood transcriptome prior to ovarian cancer diagnosis: A case-control study in the NOWAC postgenome cohort
Maria Jenvin Støen,
Sigve Andersen,
Mehrdad Rakaee,
Mona I. Pedersen,
Lise Martine Ingebriktsen,
Tom Dønnem
et al.:
Overexpression of mir-20a-5p in tumor epithelium is an independent negative prognostic indicator in prostate cancer—a multi-institutional study
Maria Jenvin Støen,
Sigve Andersen,
Mehrdad Rakaee,
Mona Irene Pedersen,
Lise Martine Ingebriktsen,
Roy M. Bremnes
et al.:
High expression of miR-17-5p in tumor epithelium is a predictor for poor prognosis for prostate cancer patients
Karina Standahl Olsen,
Marit Holden,
Jean-Christophe Thalabard,
Lill-Tove Rasmussen Busund,
Eiliv Lund,
Lars Holden
:
Global blood gene expression profiles following a breast cancer diagnosis—Clinical follow-up in the NOWAC post-genome cohort
Mehrdad Rakaee,
Thomas Karsten Kilvær,
Simin Jamaly,
Thomas Berg,
Erna-Elise Paulsen,
Marte Berglund
et al.:
Tertiary lymphoid structure score: a promising approach to refine the TNM staging in resected non-small cell lung cancer
Lill-Tove Rasmussen Busund
:
Hypothesis of Carcinogenesis - The Atavistic Theory
Thomas Karsten Kilvær,
Erna-Elise Paulsen,
Sigve Andersen,
Mehrdad Rakaee,
Roy M. Bremnes,
Lill-Tove Rasmussen Busund
et al.:
Digitally quantified CD8+ cells: the best candidate marker for an immune cell score in non-small cell lung cancer?
Eiliv Lund,
Marit Holden,
Jean-Christophe Thalabard,
Lill-Tove Rasmussen Busund,
Igor Snapkov,
Lars Holden
:
Signals of Death - Post-Diagnostic Single Gene Expression Trajectories in Breast Cancer - A Proof of Concept
Elin Richardsen,
Sigve Andersen,
Christian Melbø-Jørgensen,
Mehrdad Rakaee,
Nora Ness,
Samer Al-Saad
et al.:
MicroRNA 141 is associated to outcome and aggressive tumor characteristics in prostate cancer
Mehrdad Rakaee,
Lill-Tove Busund,
Simin Jamaly,
Erna-Elise Paulsen,
Elin Richardsen,
Sigve Andersen
et al.:
Prognostic Value of Macrophage Phenotypes in Resectable Non–Small Cell Lung Cancer Assessed by Multiplex Immunohistochemistry
Thomas Karsten Kilvær,
Mehrdad Rakaee,
Turid Hellevik,
Jørg Vik,
Luigi de Petris,
Tom Dønnem
et al.:
Differential prognostic impact of platelet-derived growth factor receptor Expression in NSCLC
Elin Richardsen,
Sigve Andersen,
Samer Al-Saad,
Mehrdad Rakaee,
Yngve Nordby,
Mona Irene Pedersen
et al.:
Low expression of miR-424-3p is highly correlated with clinical failure in prostate cancer
Line Moi,
Tonje Braaten,
Khalid Al-Shibli,
Eiliv Lund,
Lill-Tove Rasmussen Busund
:
Differential expression of the miR-17-92 cluster and miR-17 family in breast cancer according to tumor type; results from the Norwegian Women and Cancer (NOWAC) study
Kaja Konstanse Skjefstad,
Charles Johannessen,
Thea K.W. Grindstad,
Thomas Karsten Kilvær,
Erna Elise Paulsen,
Mona Irene Pedersen
et al.:
A gender specific improved survival related to stromal miR-143 and miR-145 expression in non-small cell lung cancer
Thea K.W. Grindstad,
Elin Richardsen,
Sigve Andersen,
Kaja Konstanse Skjefstad,
Mehrdad Rakaee,
Tom Dønnem
et al.:
Progesterone receptors in prostate cancer: Progesterone receptor B is the isoform associated with disease progression
Yury Kiselev,
Sigve Andersen,
Charles Johannessen,
Bjørn Fjukstad,
Karina Standahl Olsen,
Helge Stenvold
et al.:
Transcription factor PAX6 as a novel prognostic factor and putative tumour suppressor in non-small cell lung cancer
Mehrdad Rakaee,
Thomas Karsten Kilvær,
Stig Manfred Dalen,
Elin Richardsen,
Erna Elise Paulsen,
Sigurd Hald
et al.:
Evaluation of tumor-infiltrating lymphocytes using routine H&E slides predicts patient survival in resected non-small cell lung cancer
Masoud Tafavvoghi,
Erna-Elise Paulsen,
Falah Jabar Rahim,
Sigve Andersen,
Ana Paola Lombardi,
Elin Richardsen
et al.:
51P Deep learning-based detection of non-angiogenic growth patterns in early-stage lung cancer
Per Niklas Benzler Waaler,
Magdalena Solveig Robertsen,
Erna-Elise Paulsen,
Sigve Andersen,
Elin Richardsen,
Åslaug Helland
et al.:
21P Integration of genomic and clinical data for relapse prediction in early-stage non-small cell lung cancer
Masoud Tafavvoghi,
Falah Jabar Rahim,
Sigve Andersen,
Erna-Elise Paulsen,
A. Cortellini,
P. Lombardi
et al.:
219P Benchmarking state-of-the-art deep learning models for tumor-infiltrating lymphocytes (TILs) quantification
Mehrdad Rakaee,
Per Niklas Benzler Waaler,
Falah Jabar Rahim,
Krinio Giannikou,
Elio Adib,
Sigve Andersen
et al.:
Abstract 5366: DRAGEN pipeline validation for somatic variant detection in diagnostics using TSO500 panel
M.S. Robertsen,
Per Niklas Benzler Waaler,
Sigve Andersen,
Erna-Elise Paulsen,
Thomas Karsten Kilvær,
Sissel Gyrid Freim Wahl
et al.:
1802P Tissue tumor mutational burden and risk of recurrence in early-stage non-small cell lung cancer
Mehrdad Rakaee,
Masoud Tafavvoghi,
A. Cortellini,
Sigve Andersen,
Falah Jabar Rahim,
L. Brunetti
et al.:
P1.11.62 Deep Learning Histopathology Model for PD-L1 (TPS) and Immunotherapy Outcome Prediction in Non-Small Cell Lung Cancer
Elio Adib,
falah jabar,
Masoud Tafavvoghi,
Amin Nassar,
Lill-Tove Rasmussen Busund,
Tom Dønnem
et al.:
Artificial Intelligence-powered analysis of the tumor immune microenvironment in primary and metastatic colorectal cancer
Falah Jabar Rahim,
Sigve Andersen,
Erna-Elise Paulsen,
Masoud Tafavvoghi,
Elin Helmine Richardsen,
Sissel Gyrid Freim Wahl
et al.:
Integrating Artificial intelligence (AI)-based lymphocytic infiltration assessment in early-stage NSCLC: A sub-study of the TNM-I trial
Mehrdad Rakaee,
Masoud Tafavvoghi,
Elio Adib,
Biagio Ricciuti,
Joao Alessi,
Alessio Cortellini
et al.:
Artificial intelligence algorithm developed to predict immune checkpoint inhibitors efficacy in non–small-cell lung cancer
Scheiner Bernhard,
Alessio Antonio,
Kim Gwangil,
D. Goldin Robert,
A.M. Fulgenzi Claudia,
Balcar Lorenz
et al.:
MACHINE LEARNING-BASED ASSESSMENT OF TUMOUR- INFILTRATING LYMPHOCYTES PREDICTS OUTCOMES IN PATIENTS WITH HEPATOCELLULAR CARCINOMA UNDERGOING ATEZOLIZUMAB AND BEVACIZUMAB TREATMENT
2023 ARKIV
Mehrdad Rakaee,
Elio Adib,
Biagio Ricciuti,
Lynette M. Sholl,
Joao V.Alessi,
Alessio Cortellini
et al.:
Digital quantification of lymphocytic infiltration on routine H&E images and immunotherapy response in non-small cell lung cancer
2022 ARKIV
Kaja Konstanse Skjefstad,
Thea K.W. Grindstad,
Mehrdad Rakaee,
Elin Richardsen,
Tom Dønnem,
Thomas Karsten Kilvær
et al.:
Corrigendum to "Prognostic relevance of estrogen receptor α, β and aromatase expression in non-small cell lung cancer" [Steroids 113 (2016) 5-13]
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Research interests
Pre-diagnostic, diagnostic, prognostic, predictive and follow-up cancer biomarkers in cancer tissue and blood.
Teaching
Leader Course 2.4 Musculoskeletal system, Medical school
Member of research group
Member of project
Attachments:
- CV LTRB 2024 (pdf)