André Pedersen

About André Pedersen

André Pedersen, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Norges teknisk-naturvitenskaplige universitet, specializes in the field of Deep Learning, Machine Learning, Medical Image Analysis, Statistics, Digital Pathology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Correction: Teacher-student approach for lung tumor segmentation from mixed-supervised datasets

Growth dynamics of untreated meningiomas

Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks

Raidionics: an open software for pre-and postoperative central nervous system tumor segmentation and standardized reporting

Learning deep abdominal CT registration through adaptive loss weighting and synthetic data generation

Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding

Neuro-Oncology Advances

Paper B Preliminary Processing and Analysis of an Adverse Event Dataset for Detecting Sepsis-Related Events

André Pedersen Information

University

Position

PhD candidate at | Master of Science at SINTEF

Citations(all)

178

Citations(since 2020)

178

Cited By

9

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

André Pedersen Skills & Research Interests

Deep Learning

Machine Learning

Medical Image Analysis

Statistics

Digital Pathology

Top articles of André Pedersen

Correction: Teacher-student approach for lung tumor segmentation from mixed-supervised datasets

Plos one

2024/2/13

André Pedersen
André Pedersen

H-Index: 1

Gabriel Kiss
Gabriel Kiss

H-Index: 7

Growth dynamics of untreated meningiomas

Neuro-Oncology Advances

2024/1/1

Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks

Scientific reports

2023/11/2

Raidionics: an open software for pre-and postoperative central nervous system tumor segmentation and standardized reporting

Scientific Reports

2023/9/20

Learning deep abdominal CT registration through adaptive loss weighting and synthetic data generation

Plos one

2023/2/24

André Pedersen
André Pedersen

H-Index: 1

David Bouget
David Bouget

H-Index: 9

Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding

Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

2023/1/2

David Bouget
David Bouget

H-Index: 9

André Pedersen
André Pedersen

H-Index: 1

Paper B Preliminary Processing and Analysis of an Adverse Event Dataset for Detecting Sepsis-Related Events

Capturing Signs and Events Related to Catheters in Clinical Text

2023

André Pedersen
André Pedersen

H-Index: 1

Immunohistochemistry guided segmentation of benign epithelial cells, in situ lesions, and invasive epithelial cells in breast cancer slides

arXiv preprint arXiv:2311.13261

2023/11/22

AeroPath: An airway segmentation benchmark dataset with challenging pathology

arXiv preprint arXiv:2311.01138

2023/11/2

Train smarter, not harder: learning deep abdominal CT registration on scarce data.

arXiv preprint arXiv:2211.15717

2022/11

André Pedersen
André Pedersen

H-Index: 1

David Bouget
David Bouget

H-Index: 9

H2G-Net: A multi-resolution refinement approach for segmentation of breast cancer region in gigapixel histopathological images

Frontiers in medicine

2022/9/14

André Pedersen
André Pedersen

H-Index: 1

David Bouget
David Bouget

H-Index: 9

P11. 37. B When to resect or biopsy for patients with supratentorial glioblastoma: a multivariable prediction model

Neuro-Oncology

2022/9/1

Preoperative brain tumor imaging: Models and software for segmentation and standardized reporting

Frontiers in neurology

2022/7/27

Artificial Intelligence in Studies of Malignant Tumours

2022/7/13

André Pedersen
André Pedersen

H-Index: 1

Code-free development and deployment of deep segmentation models for digital pathology

Frontiers in Medicine

2022/1/27

Teacher-Student Architecture for Mixed Supervised Lung Tumor Segmentation

arXiv preprint arXiv:2112.11541

2021/12/21

André Pedersen
André Pedersen

H-Index: 1

Gabriel Kiss
Gabriel Kiss

H-Index: 7

Preliminary processing and analysis of an adverse event dataset for detecting sepsis-related events

2021/12/9

André Pedersen
André Pedersen

H-Index: 1

Lise Tuset Gustad
Lise Tuset Gustad

H-Index: 10

Hybrid guiding: A multi-resolution refinement approach for semantic segmentation of gigapixel histopathological images

arXiv preprint arXiv:2112.03455

2021/12/7

André Pedersen
André Pedersen

H-Index: 1

David Bouget
David Bouget

H-Index: 9

Meningioma segmentation in T1-weighted MRI leveraging global context and attention mechanisms

Frontiers in radiology

2021/9/23

See List of Professors in André Pedersen University(Norges teknisk-naturvitenskaplige universitet)