Mats Andersson

According to our database, Mats Andersson authored at least 6 papers between 2017 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

A 6G White Paper on Connectivity for Remote Areas.

Harri Saarnisaari, Sudhir Dixit, Mohamed-Slim Alouini, Abdelaali Chaoub, Marco Giordani, Adrian Kliks, Marja Matinmikko-Blue, Nan Zhang, Anuj Agrawal, Mats Andersson, Vimal Bhatia, Wei Cao, Yunfei Chen, Wei Feng, Marjo Heikkilä, Josep Miquel Jornet, Luciano Leonel Mendes, Heikki Karvonen, Brejesh Lall, Matti Latva-aho, Xiangling Li, Kalle Lähetkangas, Moshe T. Masonta, Alok Pandey, Pekka Pirinen, Khaled M. Rabie, Tlou M. Ramoroka, Hanna Saarela, Amit Singhal, Kaibo Tian, Justin Wang, Chenchen Zhang, Yang Zhen, Haibo Zhou

CoRR, 2020

2019

Segmenting Potentially Cancerous Areas in Prostate Biopsies using Semi-Automatically Annotated Data.

Nikolay Burlutskiy, Nicolas Pinchaud, Feng Gu, Daniel Hägg, Mats Andersson, Lars Björk, Kristian Eurén, Cristina Svensson, Lena Kajland Wilén, Martin Hedlund

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

2018

Tumor proliferation assessment of whole slide images.

Mikaël Rousson, Martin Hedlund, Mats Andersson, Ludwig Jacobsson, Gunnar Läthén, Björn Norell, Oscar Alfonso Jiménez del Toro, Henning Müller, Manfredo Atzori

Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

Multi-resolution Networks for Semantic Segmentation in Whole Slide Images.

Feng Gu, Nikolay Burlutskiy, Mats Andersson, Lena Kajland Wilén

Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

Determining the scale of image patches using a deep learning approach.

Sebastian Otálora, Oscar J. Perdomo, Manfredo Atzori, Mats Andersson, Ludwig Jacobsson, Martin Hedlund, Henning Müller

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Convolutional neural networks for an automatic classification of prostate tissue slides with high-grade Gleason score.

Oscar Alfonso Jiménez del Toro, Manfredo Atzori, Sebastian Otálora, Mats Andersson, Kristian Eurén, Martin Hedlund, Peter Rönnquist, Henning Müller

Proceedings of the Medical Imaging 2017: Digital Pathology, 2017