Mattias Rantalainen
Karolinska Institutet(SE)
Publications by Year
Research Areas
AI in cancer detection, Radiomics and Machine Learning in Medical Imaging, Gene expression and cancer classification, Cancer Genomics and Diagnostics, Breast Cancer Treatment Studies
Most-Cited Works
- → OPLS discriminant analysis: combining the strengths of PLS‐DA and SIMCA classification(2006)1,446 cited
- → Symbiotic gut microbes modulate human metabolic phenotypes(2008)1,142 cited
- → Reprogramming Tumor-Associated Macrophages by Antibody Targeting Inhibits Cancer Progression and Metastasis(2016)618 cited
- → Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study(2020)599 cited
- → Artificial intelligence as the next step towards precision pathology(2020)432 cited
- → Top-Down Systems Biology Modeling of Host Metabotype−Microbiome Associations in Obese Rodents(2009)262 cited
- → Improved breast cancer histological grading using deep learning(2021)200 cited
- → Beta-Poisson model for single-cell RNA-seq data analyses(2016)184 cited
- → Digital image analysis outperforms manual biomarker assessment in breast cancer(2016)179 cited
- → Human metabolic profiles are stably controlled by genetic and environmental variation(2011)179 cited