André Pedersen
About
I am pursuing a PhD in medical technology, focusing on the application of artificial intelligence in computational pathology. The goal is to study to what degree AI can be used to stratify breast cancer patients into diagnostic subgroups to provide improved personalized treatment. I am directly collaborating with several pathologists at St.Olavs and NTNU to provide solutions that can be directly relevant in research and in diagnostics. Current focus is on development of a user platform for AI-based digital pathology, with the goal to provide a solution that can assist pathologists in diagnostics.
I also hold a position as Master of Science at the research group Medical Technology at SINTEF Health Research: https://www.sintef.no/en/all-employees/employee/?empId=7906, where I contribute with my expertize in medical image processing, machine learning and statistics.
Publications
2023
-
Bouget, David Nicolas Jean-Mar;
Alsinan, Demah;
Gaitan, Valeria;
Helland, Ragnhild Holden;
Pedersen, Andre;
Solheim, Ole Skeidsvoll.
(2023)
Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reporting.
Scientific Reports
Academic article
-
Strand, Per Sveino;
Wågø, Kathrine Jørgensen;
Pedersen, Andre;
Reinertsen, Ingerid Reime;
Näslund, Olivia;
Jakola, Asgeir Store.
(2023)
Growth dynamics of untreated meningiomas.
Neuro-Oncology Advances (NOA)
Academic article
-
Perez de Frutos, Javier;
Pedersen, Andre;
Pelanis, Egidijus;
Bouget, David Nicolas Jean-Mar;
Survarachakan, Shanmugapriya;
Langø, Thomas.
(2023)
Learning deep abdominal CT registration through adaptive loss weighting and synthetic data generation.
PLOS ONE
Academic article
-
Helland, Ragnhild Holden;
Ferles, Alexandros;
Pedersen, Andre;
Kommers, Ivar;
Ardon, Hilko;
Barkhof, Frederik.
(2023)
Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks.
Scientific Reports
Academic article
2022
-
Perez de Frutos, Javier;
Pedersen, Andre;
Pelanis, Egidijus;
Bouget, David Nicolas Jean-Mar;
Survarachakan, Shanmugapriya;
Langø, Thomas.
(2022)
Train smarter, not harder: learning deep abdominal CT registration on scarce data.
arXiv
Academic article
-
Pedersen, Andre;
Reinertsen, Ingerid Reime;
Janssen, Emiel;
Valla, Marit.
(2022)
Artificial Intelligence in Studies of Malignant Tumours.
Springer
Chapter
-
Pedersen, André;
Smistad, Erik;
Rise, Tor Vikan;
Dale, Vibeke Grotnes;
Pettersen, Henrik P Sahlin;
Nordmo, Tor-Arne Schmidt.
(2022)
H2G-Net: A multi-resolution refinement approach for segmentation of breast cancer region in gigapixel histopathological images.
Frontiers in medicine
Academic article
-
Pettersen, Henrik P Sahlin;
Belevich, Ilya;
Røyset, Elin Synnøve;
Smistad, Erik;
Simpson, Melanie Rae;
Jokitalo, Eija.
(2022)
Code-Free Development and Deployment of Deep Segmentation Models for Digital Pathology.
Frontiers in medicine
Academic article
-
Fredriksen, Vemund;
Sevle, Svein Ole Matheson;
Pedersen, André;
Langø, Thomas;
Kiss, Gabriel;
Lindseth, Frank.
(2022)
Teacher-student approach for lung tumor segmentation from mixed-supervised datasets.
PLOS ONE
Academic article
-
Bouget, David Nicolas Jean-Mar;
Pedersen, André;
Vanel, Johanna;
Leira, Håkon Olav;
Langø, Thomas.
(2022)
Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding.
Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization
Academic article
-
Bouget, David Nicolas Jean-Mar;
Pedersen, André;
Jakola, Asgeir S.;
Kavouridis, Vasileios;
Emblem, Kyrre Eeg;
Eijgelaar, Roelant S.
(2022)
Preoperative Brain Tumor Imaging: Models and Software for Segmentation and Standardized Reporting.
Frontiers in Neurology
Academic article
2021
-
Yan, Melissa;
Høvik, Lise Husby;
Pedersen, André;
Gustad, Lise Tuset;
Nytrø, Øystein.
(2021)
Preliminary Processing and Analysis of an Adverse Event Dataset for Detecting Sepsis-Related Events.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
-
Bouget, David Nicolas Jean-Marie;
Pedersen, André;
Hosainey, Sayied Abdol Mohieb;
Solheim, Ole;
Reinertsen, Ingerid.
(2021)
Meningioma Segmentation in T1-Weighted MRI Leveraging Global Context and Attention Mechanisms.
Frontiers in Radiology
Academic article
-
Bouget, David Nicolas Jean-Marie;
Eijgelaar, Roelant;
Pedersen, André;
Kommers, Ivar;
Ardon, Hilko;
Barkhof, Frederik.
(2021)
Glioblastoma Surgery Imaging-Reporting and Data System: Validation and Performance of the Automated Segmentation Task.
Cancers
Academic article
-
Kommers, Ivar;
Bouget, David Nicolas Jean-Marie;
Pedersen, André;
Eijgelaar, Roelant;
Ardon, Hilko;
Barkhof, Frederik.
(2021)
Glioblastoma Surgery Imaging—Reporting and Data System: Standardized Reporting of Tumor Volume, Location, and Resectability Based on Automated Segmentations.
Cancers
Academic article
-
Bouget, David Nicolas Jean-Marie;
Pedersen, André;
Hosainey, Sayied Abdol Mohieb;
Vanel, Johanna;
Solheim, Ole;
Reinertsen, Ingerid.
(2021)
Fast meningioma segmentation in T1-weighted magnetic resonance imaging volumes using a lightweight 3D deep learning architecture.
Journal of Medical Imaging
Academic article
-
Pedersen, André;
Valla, Marit;
Bofin, Anna Mary;
Perez de Frutos, Javier;
Reinertsen, Ingerid;
Smistad, Erik.
(2021)
FastPathology: An open-source platform for deep learning-based research and decision support in digital pathology.
IEEE Access
Academic article
-
Snipstad, Sofie;
Mørch, Ýrr;
Sulheim, Einar;
Åslund, Andreas;
Pedersen, André;
Davies, Catharina de Lange.
(2021)
Sonopermeation enhances uptake and therapeutic effect of free and encapsulated cabazitaxel.
Ultrasound in Medicine and Biology
Academic article
2019
-
Smistad, Erik;
Østvik, Andreas;
Pedersen, André.
(2019)
High performance neural network inference, streaming, and visualization of medical images using FAST.
IEEE Access
Academic article
2017
-
Pedersen, André;
Reinertsen, Ingerid;
Janssen, Emiel;
Valla, Marit.
(2017)
Artificial Intelligence in Studies of Malignant Tumours.
Springer
Chapter
Journal publications
-
Bouget, David Nicolas Jean-Mar;
Alsinan, Demah;
Gaitan, Valeria;
Helland, Ragnhild Holden;
Pedersen, Andre;
Solheim, Ole Skeidsvoll.
(2023)
Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reporting.
Scientific Reports
Academic article
-
Strand, Per Sveino;
Wågø, Kathrine Jørgensen;
Pedersen, Andre;
Reinertsen, Ingerid Reime;
Näslund, Olivia;
Jakola, Asgeir Store.
(2023)
Growth dynamics of untreated meningiomas.
Neuro-Oncology Advances (NOA)
Academic article
-
Perez de Frutos, Javier;
Pedersen, Andre;
Pelanis, Egidijus;
Bouget, David Nicolas Jean-Mar;
Survarachakan, Shanmugapriya;
Langø, Thomas.
(2023)
Learning deep abdominal CT registration through adaptive loss weighting and synthetic data generation.
PLOS ONE
Academic article
-
Helland, Ragnhild Holden;
Ferles, Alexandros;
Pedersen, Andre;
Kommers, Ivar;
Ardon, Hilko;
Barkhof, Frederik.
(2023)
Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks.
Scientific Reports
Academic article
-
Perez de Frutos, Javier;
Pedersen, Andre;
Pelanis, Egidijus;
Bouget, David Nicolas Jean-Mar;
Survarachakan, Shanmugapriya;
Langø, Thomas.
(2022)
Train smarter, not harder: learning deep abdominal CT registration on scarce data.
arXiv
Academic article
-
Pedersen, André;
Smistad, Erik;
Rise, Tor Vikan;
Dale, Vibeke Grotnes;
Pettersen, Henrik P Sahlin;
Nordmo, Tor-Arne Schmidt.
(2022)
H2G-Net: A multi-resolution refinement approach for segmentation of breast cancer region in gigapixel histopathological images.
Frontiers in medicine
Academic article
-
Pettersen, Henrik P Sahlin;
Belevich, Ilya;
Røyset, Elin Synnøve;
Smistad, Erik;
Simpson, Melanie Rae;
Jokitalo, Eija.
(2022)
Code-Free Development and Deployment of Deep Segmentation Models for Digital Pathology.
Frontiers in medicine
Academic article
-
Fredriksen, Vemund;
Sevle, Svein Ole Matheson;
Pedersen, André;
Langø, Thomas;
Kiss, Gabriel;
Lindseth, Frank.
(2022)
Teacher-student approach for lung tumor segmentation from mixed-supervised datasets.
PLOS ONE
Academic article
-
Bouget, David Nicolas Jean-Mar;
Pedersen, André;
Vanel, Johanna;
Leira, Håkon Olav;
Langø, Thomas.
(2022)
Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding.
Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization
Academic article
-
Bouget, David Nicolas Jean-Mar;
Pedersen, André;
Jakola, Asgeir S.;
Kavouridis, Vasileios;
Emblem, Kyrre Eeg;
Eijgelaar, Roelant S.
(2022)
Preoperative Brain Tumor Imaging: Models and Software for Segmentation and Standardized Reporting.
Frontiers in Neurology
Academic article
-
Bouget, David Nicolas Jean-Marie;
Pedersen, André;
Hosainey, Sayied Abdol Mohieb;
Solheim, Ole;
Reinertsen, Ingerid.
(2021)
Meningioma Segmentation in T1-Weighted MRI Leveraging Global Context and Attention Mechanisms.
Frontiers in Radiology
Academic article
-
Bouget, David Nicolas Jean-Marie;
Eijgelaar, Roelant;
Pedersen, André;
Kommers, Ivar;
Ardon, Hilko;
Barkhof, Frederik.
(2021)
Glioblastoma Surgery Imaging-Reporting and Data System: Validation and Performance of the Automated Segmentation Task.
Cancers
Academic article
-
Kommers, Ivar;
Bouget, David Nicolas Jean-Marie;
Pedersen, André;
Eijgelaar, Roelant;
Ardon, Hilko;
Barkhof, Frederik.
(2021)
Glioblastoma Surgery Imaging—Reporting and Data System: Standardized Reporting of Tumor Volume, Location, and Resectability Based on Automated Segmentations.
Cancers
Academic article
-
Bouget, David Nicolas Jean-Marie;
Pedersen, André;
Hosainey, Sayied Abdol Mohieb;
Vanel, Johanna;
Solheim, Ole;
Reinertsen, Ingerid.
(2021)
Fast meningioma segmentation in T1-weighted magnetic resonance imaging volumes using a lightweight 3D deep learning architecture.
Journal of Medical Imaging
Academic article
-
Pedersen, André;
Valla, Marit;
Bofin, Anna Mary;
Perez de Frutos, Javier;
Reinertsen, Ingerid;
Smistad, Erik.
(2021)
FastPathology: An open-source platform for deep learning-based research and decision support in digital pathology.
IEEE Access
Academic article
-
Snipstad, Sofie;
Mørch, Ýrr;
Sulheim, Einar;
Åslund, Andreas;
Pedersen, André;
Davies, Catharina de Lange.
(2021)
Sonopermeation enhances uptake and therapeutic effect of free and encapsulated cabazitaxel.
Ultrasound in Medicine and Biology
Academic article
-
Smistad, Erik;
Østvik, Andreas;
Pedersen, André.
(2019)
High performance neural network inference, streaming, and visualization of medical images using FAST.
IEEE Access
Academic article
Part of book/report
-
Pedersen, Andre;
Reinertsen, Ingerid Reime;
Janssen, Emiel;
Valla, Marit.
(2022)
Artificial Intelligence in Studies of Malignant Tumours.
Springer
Chapter
-
Yan, Melissa;
Høvik, Lise Husby;
Pedersen, André;
Gustad, Lise Tuset;
Nytrø, Øystein.
(2021)
Preliminary Processing and Analysis of an Adverse Event Dataset for Detecting Sepsis-Related Events.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
-
Pedersen, André;
Reinertsen, Ingerid;
Janssen, Emiel;
Valla, Marit.
(2017)
Artificial Intelligence in Studies of Malignant Tumours.
Springer
Chapter
Knowledge Transfer
2022
-
PosterBouget, David Nicolas Jean-Mar; Pedersen, Andre; Helland, Ragnhild Holden; Solheim, Ole Skeidsvoll; Reinertsen, Ingerid Reime. (2022) Raidionics: automatic pre- and post-operative brain tumor segmentation and reporting. Mohn Medical Imaging and Visualization Centre MMIV , Bergen 2022-12-08 - 2022-12-09