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Leena Latonen
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2020 – today
- 2024
- [j7]Philippe Weitz
, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue. Medical Image Anal. 97: 103257 (2024) - 2023
- [j6]Joel Honkamaa
Deformation equivariant cross-modality image synthesis with paired non-aligned training data. Medical Image Anal. 90: 102940 (2023) - [j5]Umair Khan, Sonja Koivukoski
The effect of neural network architecture on virtual H&E staining: Systematic assessment of histological feasibility. Patterns 4(5): 100725 (2023) - [i4]Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo
The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue. CoRR abs/2305.18033 (2023) - 2022
- [i3]Joel Honkamaa
Deformation equivariant cross-modality image synthesis with paired non-aligned training data. CoRR abs/2208.12491 (2022) - [i2]Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo
ACROBAT - a multi-stain breast cancer histological whole-slide-image data set from routine diagnostics for computational pathology. CoRR abs/2211.13621 (2022) - 2021
- [j4]Teemu J. Rintala
A systematic comparison of data- and knowledge-driven approaches to disease subtype discovery. Briefings Bioinform. 22(6) (2021) - 2020
- [j3]Jirí Borovec
ANHIR: Automatic Non-Rigid Histological Image Registration Challenge. IEEE Trans. Medical Imaging 39(10): 3042-3052 (2020) - [i1]Kaisa Liimatainen, Leena Latonen, Masi Valkonen, Kimmo Kartasalo
Virtual reality for 3D histology: multi-scale visualization of organs with interactive feature exploration. CoRR abs/2003.11148 (2020)
2010 – 2019
- 2019
- [j2]Kaisa Liimatainen
Iterative unsupervised domain adaptation for generalized cell detection from brightfield z-stacks. BMC Bioinform. 20(1): 80:1-80:10 (2019) - [c5]Kaisa Liimatainen
3D-Printed Whole Prostate Models with Tumor Hotspots Using Dual-Extruder Printer. EMBC 2019: 2867-2871 - 2018
- [j1]Kimmo Kartasalo
Comparative analysis of tissue reconstruction algorithms for 3D histology. Bioinform. 34(17): 3013-3021 (2018) - 2017
- [c4]Mira Valkonen, Kimmo Kartasalo
Dual Structured Convolutional Neural Network with Feature Augmentation for Quantitative Characterization of Tissue Histology. ICCV Workshops 2017: 27-35 - 2016
- [c3]Kimmo Kartasalo
Benchmarking of algorithms for 3D tissue reconstruction. ICIP 2016: 2360-2364 - [c2]Kaisa Liimatainen
Supervised method for cell counting from bright field focus stacks. ISBI 2016: 391-394 - 2015
- [c1]Tuomas Tikkanen
Training based cell detection from bright-field microscope images. ISPA 2015: 160-164
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