André Pedersen
Om
Jeg er PhD-stipendiat i medisinsk teknologi med fokus på anvendelsen av kunstig intelligens i digital patologi. Målet er å studere i hvilken grad AI kan brukes til å gruppere brystkreftpasienter i diagnostiske subgrupper for å gi de mer personsspesifikk behandling. Jeg jobber tett sammen med flere patologer på St.Olavs og NTNU for å gi de løsninger som kan være direkte relevante i forskning og i diagnostikken. Nåværende fokus er på utvikling av en brukerplatform for AI-basert digital patologi, hvor målet er å gi patologer en løsning som kan hjelpe de i klinikken.
Jeg har også en bistilling som Master of Science hos forskningsgruppa Medisinsk Teknologi i SINTEF Helse: https://www.sintef.no/en/all-employees/employee/?empId=7906, hvor jeg bidrar med min ekspertise innen medisinsk bildebehandling, maskinlæring og statistikk.
Publikasjoner
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
Vitenskapelig artikkel
-
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)
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
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
Vitenskapelig artikkel
-
Pedersen, Andre;
Reinertsen, Ingerid Reime;
Janssen, Emiel;
Valla, Marit.
(2022)
Artificial Intelligence in Studies of Malignant Tumours.
Springer
Faglig kapittel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
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)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
2019
-
Smistad, Erik;
Østvik, Andreas;
Pedersen, André.
(2019)
High performance neural network inference, streaming, and visualization of medical images using FAST.
IEEE Access
Vitenskapelig artikkel
2017
-
Pedersen, André;
Reinertsen, Ingerid;
Janssen, Emiel;
Valla, Marit.
(2017)
Artificial Intelligence in Studies of Malignant Tumours.
Springer
Faglig kapittel
Tidsskriftspublikasjoner
-
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
Vitenskapelig artikkel
-
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)
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
Smistad, Erik;
Østvik, Andreas;
Pedersen, André.
(2019)
High performance neural network inference, streaming, and visualization of medical images using FAST.
IEEE Access
Vitenskapelig artikkel
Del av bok/rapport
-
Pedersen, Andre;
Reinertsen, Ingerid Reime;
Janssen, Emiel;
Valla, Marit.
(2022)
Artificial Intelligence in Studies of Malignant Tumours.
Springer
Faglig kapittel
-
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)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Pedersen, André;
Reinertsen, Ingerid;
Janssen, Emiel;
Valla, Marit.
(2017)
Artificial Intelligence in Studies of Malignant Tumours.
Springer
Faglig kapittel
Formidling
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