André Pedersen

andreped

AI & ML interests

My research include machine learning, image analysis, software development, and computational statistics, mainly in the field of medicine. The data types range from 3D MRI images, gigapixel histopathological images, bronchoscopy videos, free text, and recently mobile sensor data.

Organizations

Collections 2

Papers 12

spaces 15

AeroPath: automatic airway segmentation using deep learning

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Upload a CT scan and segment airways

LyNoS: automatic lymph node segmentation using deep learning

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Upload a CT scan to segment lymph nodes

wsi-annotation-demo

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Annotate whole slide images with ease

wsi-visualization-demo

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Visualize large whole slide images in a browser

Postly: a simple twitter clone

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Manage and view posts on a simple social media platform

livermask: Automatic Liver Parenchyma and vessel segmentation in CT

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View 15 Spaces

models 0

None public yet

datasets 3

André Pedersen

AI & ML interests

Organizations

Collections 2

FastPathology: An open-source platform for deep learning-based research and decision support in digital pathology

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

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

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

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

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

Teacher-Student Architecture for Mixed Supervised Lung Tumor Segmentation

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

FastPathology: An open-source platform for deep learning-based research and decision support in digital pathology

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

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

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

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

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

Teacher-Student Architecture for Mixed Supervised Lung Tumor Segmentation

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

Papers 12

spaces 15

AeroPath: automatic airway segmentation using deep learning

LyNoS: automatic lymph node segmentation using deep learning

wsi-annotation-demo

wsi-visualization-demo

Postly: a simple twitter clone

livermask: Automatic Liver Parenchyma and vessel segmentation in CT

models 0

datasets 3

andreped/LyNoS

andreped/AeroPath

andreped/IBDColEpi

André Pedersen

AI & ML interests

Organizations

Collections 2

Papers 12

spaces 15 Sort: Recently updated

AeroPath: automatic airway segmentation using deep learning

LyNoS: automatic lymph node segmentation using deep learning

wsi-annotation-demo

wsi-visualization-demo

Postly: a simple twitter clone

livermask: Automatic Liver Parenchyma and vessel segmentation in CT

models 0

datasets 3 Sort: Recently updated

spaces 15

datasets 3