Mattias Rantalainen
Karolinska Institutet
H-index: 33
Europe-Sweden
Top articles of Mattias Rantalainen
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
WEEP: A method for spatial interpretation of weakly supervised CNN models in computational pathology | arXiv preprint arXiv:2403.15238 | Abhinav Sharma Bojing Liu Mattias Rantalainen | 2024/3/22 |
Prediction model for drug response of acute myeloid leukemia patients | NPJ Precision Oncology | Quang Thinh Trac Yudi Pawitan Tian Mou Tom Erkers Päivi Östling | 2023/3/24 |
Clinical evaluation of deep learning-based risk profiling in breast cancer histopathology and comparison to an established multigene assay | Stephanie Robertson Yinxi Wang Wenwen Sun Emelie Karlsson Sandy Kang Lövgren | 2023/12/1 | |
Increasing the usefulness of already existing annotations through WSI registration | arXiv preprint arXiv:2303.06727 | Philippe Weitz Viktoria Sartor Balazs Acs Stephanie Robertson Daniel Budelmann | 2023/3/12 |
A Multi-Stain Breast Cancer Histological Whole-Slide-Image Data Set from Routine Diagnostics | Scientific Data | Philippe Weitz Masi Valkonen Leslie Solorzano Circe Carr Kimmo Kartasalo | 2023/8/24 |
Validation of an AI-based solution for breast cancer risk stratification using routine digital histopathology images | medRxiv | Abhinav Sharma Sandy Kang Lovgren Kajsa Ledesma Eriksson Yinxi Wang Stephanie Robertson | 2023/10/10 |
Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence Assisted Cancer Diagnosis | arXiv preprint arXiv:2307.05519 | Xiaoyi Ji Richard Salmon Nita Mulliqi Umair Khan Yinxi Wang | 2023/7/7 |
Deep learning-based risk stratification of preoperative breast biopsies using digital whole slide images | medRxiv | Constance Boissin Yinxi Wang Abhinav Sharma Philippe Weitz Emelie Karlsson | 2023 |
Transcriptional intra-tumour heterogeneity predicted by deep learning in routine breast histopathology slides provides independent prognostic information | European Journal of Cancer | Yinxi Wang Maya Alsheh Ali Johan Vallon-Christersson Keith Humphreys Johan Hartman | 2023/9/1 |
Ensembles for improved detection of invasive breast cancer in histological images | bioRxiv | Leslie Solorzano Stephanie Robertson Johan Hartman Mattias Rantalainen | 2023 |
The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue | arXiv preprint arXiv:2305.18033 | Philippe Weitz Masi Valkonen Leslie Solorzano Circe Carr Kimmo Kartasalo | 2023/5/29 |
Development and prognostic validation of a three-level NHG-like deep learning-based model for histological grading of breast cancer | Breast Cancer Research | Abhinav Sharma Philippe Weitz Yinxi Wang Bojing Liu Johan Vallon-Christersson | 2024/1/29 |
ACROBAT--a multi-stain breast cancer histological whole-slide-image data set from routine diagnostics for computational pathology | arXiv preprint arXiv:2211.13621 | Philippe Weitz Masi Valkonen Leslie Solorzano Circe Carr Kimmo Kartasalo | 2022/11/24 |
Using deep learning to detect patients at risk for prostate cancer despite benign biopsies | Iscience | Bojing Liu Yinxi Wang Philippe Weitz Johan Lindberg Johan Hartman | 2022/7/15 |
Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression-based convolutional neural networks | Bioinformatics | Philippe Weitz Yinxi Wang Kimmo Kartasalo Lars Egevad Johan Lindberg | 2022/7/1 |
Transcriptome-wide prediction of prostate can-cer gene expression from histopathology im-ages using co-expression based convolutional neural networks | Philippe Weitz Yinxi Wang Kimmo Kartasalo Lars Egevad Johan Lindberg | 2022 | |
Improved breast cancer histological grading using deep learning | Annals of Oncology | Y Wang B Acs S Robertson B Liu Leslie Solorzano | 2022/1/1 |
Biological and therapeutic implications of a unique subtype of NPM1 mutated AML | Nature Communications | Arvind Singh Mer Emily M Heath Seyed Ali Madani Tonekaboni Nergiz Dogan-Artun Sisira Kadambat Nair | 2021/2/16 |
Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer | Cancer research | Yinxi Wang Kimmo Kartasalo Philippe Weitz Balazs Acs Masi Valkonen | 2021/10/1 |
An Investigation of Attention Mechanisms in Histopathology Whole-Slide-Image Analysis for Regression Objectives | Philippe Weitz Yinxi Wang Johan Hartman Mattias Rantalainen | 2021 |
