Leena Latonen

According to our database, Leena Latonen authored at least 15 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue.

Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo, Constance Boissin, Sonja Koivukoski, Aino Kuusela, Dusan Rasic, Yanbo Feng, Sandra Kristiane Sinius Pouplier, Abhinav Sharma, Kajsa Ledesma Eriksson, Stephanie Robertson, Christian Marzahl, Chandler D. Gatenbee, Alexander R. A. Anderson, Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller, Daniel Budelmann, Nick Weiss, Stefan Heldmann, Johannes Lotz, Jelmer M. Wolterink, Bruno De Santi, Abhijeet Patil, Amit Sethi, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Mahtab Farrokh, Neeraj Kumar, Russell Greiner, Leena Latonen, Anne-Vibeke Laenkholm, Johan Hartman, Pekka Ruusuvuori, Mattias Rantalainen

Medical Image Anal., 2024

2023

Deformation equivariant cross-modality image synthesis with paired non-aligned training data.

Joel Honkamaa, Umair Khan, Sonja Koivukoski, Mira Valkonen, Leena Latonen, Pekka Ruusuvuori, Pekka Marttinen

Medical Image Anal., December, 2023

The effect of neural network architecture on virtual H&E staining: Systematic assessment of histological feasibility.

Umair Khan, Sonja Koivukoski, Mira Valkonen, Leena Latonen, Pekka Ruusuvuori

Patterns, May, 2023

2022

ACROBAT - a multi-stain breast cancer histological whole-slide-image data set from routine diagnostics for computational pathology.

Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo, Constance Boissin, Sonja Koivukoski, Aino Kuusela, Dusan Rasic, Yanbo Feng, Sandra Kristiane Sinius Pouplier, Abhinav Sharma, Kajsa Ledesma Eriksson, Leena Latonen, Anne-Vibeke Laenkholm, Johan Hartman, Pekka Ruusuvuori, Mattias Rantalainen

CoRR, 2022

Deformation equivariant cross-modality image synthesis with paired non-aligned training data.

Joel Honkamaa, Umair Khan, Sonja Koivukoski, Leena Latonen, Pekka Ruusuvuori, Pekka Marttinen

CoRR, 2022

2021

A systematic comparison of data- and knowledge-driven approaches to disease subtype discovery.

Teemu J. Rintala, Antonio Federico, Leena Latonen, Dario Greco, Vittorio Fortino

Briefings Bioinform., 2021

2020

ANHIR: Automatic Non-Rigid Histological Image Registration Challenge.

Jirí Borovec, Jan Kybic, Ignacio Arganda-Carreras, Dmitry V. Sorokin, Gloria Bueno, Alexander V. Khvostikov, Spyridon Bakas, Eric I-Chao Chang, Stefan Heldmann, Kimmo Kartasalo, Leena Latonen, Johannes Lotz, Michelle Noga, Sarthak Pati, Kumaradevan Punithakumar, Pekka Ruusuvuori, Andrzej Skalski, Nazanin Tahmasebi, Masi Valkonen, Ludovic Venet, Yizhe Wang, Nick Weiss, Marek Wodzinski, Yu Xiang, Yan Xu, Yan Yan, Paul A. Yushkevich, Shengyu Zhao, Arrate Muñoz-Barrutia

IEEE Trans. Medical Imaging, 2020

Virtual reality for 3D histology: multi-scale visualization of organs with interactive feature exploration.

Kaisa Liimatainen, Leena Latonen, Masi Valkonen, Kimmo Kartasalo, Pekka Ruusuvuori

CoRR, 2020

2019

Iterative unsupervised domain adaptation for generalized cell detection from brightfield z-stacks.

Kaisa Liimatainen, Lauri Kananen, Leena Latonen, Pekka Ruusuvuori

BMC Bioinform., 2019

3D-Printed Whole Prostate Models with Tumor Hotspots Using Dual-Extruder Printer.

Kaisa Liimatainen, Leena Latonen, Kimmo Kartasalo, Pekka Ruusuvuori

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Comparative analysis of tissue reconstruction algorithms for 3D histology.

Kimmo Kartasalo, Leena Latonen, Jorma Vihinen, Tapio Visakorpi, Matti Nykter, Pekka Ruusuvuori

Bioinform., 2018

2017

Dual Structured Convolutional Neural Network with Feature Augmentation for Quantitative Characterization of Tissue Histology.

Mira Valkonen, Kimmo Kartasalo, Kaisa Liimatainen, Matti Nykter, Leena Latonen, Pekka Ruusuvuori

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

Supervised method for cell counting from bright field focus stacks.

Kaisa Liimatainen, Pekka Ruusuvuori, Leena Latonen, Heikki Huttunen

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Benchmarking of algorithms for 3D tissue reconstruction.

Kimmo Kartasalo, Leena Latonen, Tapio Visakorpi, Matti Nykter, Pekka Ruusuvuori

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

Training based cell detection from bright-field microscope images.

Tuomas Tikkanen, Pekka Ruusuvuori, Leena Latonen, Heikki Huttunen

Proceedings of the 9th International Symposium on Image and Signal Processing and Analysis, 2015