Til hovedinnhold

André Pedersen

Master of science

André Pedersen

Master of science

André Pedersen
Telefon: 955 24 208
E-post:
Avdeling: Helse
Kontorsted: Trondheim

Publikasjoner og ansvarsområder

Publikasjon
https://www.sintef.no/publikasjoner/publikasjon/1918664/

Treatment decisions for patients with presumed glioblastoma are based on tumor characteristics available from a preoperative MR scan. Tumor characteristics, including volume, location, and resectability, are often estimated or manually delineated. This process is time consuming and subjective. Hence...

Forfattere Ivar Kommers David Bouget André Pedersen Roelant Eijgelaar Hilko Ardon Frederik Barkhof Lorenzo Bello Mitchel S. Berger Marco Conti Nibali Julia Furtner Even Hovig Fyllingen Shawn Hervey-Jumper Albert J. S. Idema Barbara Kiesel Alfred Kloet Emmanuel Mandonnet Domenique M. J. Müller Pierre Robe Marco Rossi Lisa Millgård Sagberg Tommaso Sciortino Wimar A. van den Brink Michiel Wagemakers Georg Widhalm Marnix G. Witte Aeilko H. Zwinderman Ingerid Reinertsen Ole Solheim Philip C. De Witt Hamer
År 2021
Type Vitenskapelig artikkel
Publikasjon
https://www.sintef.no/publikasjoner/publikasjon/1955012/

Purpose: Meningiomas are the most common type of primary brain tumor, accounting for ~30% of all brain tumors. A substantial number of these tumors are never surgically removed but rather monitored over time. Automatic and precise meningioma segmentation is, therefore, beneficial to enable reliable...

Forfattere David Bouget André Pedersen Sayied Abdol Mohieb Hosainey Ole Solheim Ingerid Reinertsen
År 2021
Type Vitenskapelig artikkel
Publikasjon
https://www.sintef.no/publikasjoner/publikasjon/1953825/

For patients with presumed glioblastoma, essential tumor characteristics are determined from preoperative MR images to optimize the treatment strategy. This procedure is time-consuming and subjective, if performed by crude eyeballing or manually. The standardized GSI-RADS aims to provide...

Forfattere David Bouget Roelant Eijgelaar André Pedersen Ivar Kommers Hilko Ardon Frederik Barkhof Lorenzo Bello Mitchel S. Berger Marco Conti Nibali Julia Furtner Even Hovig Fyllingen Shawn Hervey-Jumper Albert J. S. Idema Barbara Kiesel Alfred Kloet Emmanuel Mandonnet Domenique M. J. Müller Pierre Robe Marco Rossi Lisa Millgård Sagberg Tommaso Sciortino Wimar A. van den Brink Michiel Wagemakers Georg Widhalm Marnix G. Witte Aeilko H. Zwinderman Ingerid Reinertsen Philip C De Witt Hamer Ole Solheim
År 2021
Type Vitenskapelig artikkel
Publikasjon
https://www.sintef.no/publikasjoner/publikasjon/1904192/

Deep convolutional neural networks (CNNs) are the current state-of-the-art for digital analysis of histopathological images. The large size of whole-slide microscopy images (WSIs) requires advanced memory handling to read, display and process these images. There are several open-source platforms for...

År 2021
Type Vitenskapelig artikkel
Publikasjon
https://www.sintef.no/publikasjoner/publikasjon/1727669/

Deep convolutional neural networks have quickly become the standard for medical image analysis. Although there are many frameworks focusing on training neural networks, there are few that focus on high performance inference and visualization of medical images. Neural network inference requires an...

År 2019
Type Vitenskapelig artikkel