| Improved breast cancer histological grading using deep learning Y Wang, B Acs, S Robertson, B Liu, L Solorzano, C Wählby, J Hartman, ... Annals of Oncology 33 (1), 89-98, 2022 | 121 | 2022 |
| Predicting molecular phenotypes from histopathology images: a transcriptome-wide expression–morphology analysis in breast cancer Y Wang, K Kartasalo, P Weitz, B Acs, M Valkonen, C Larsson, ... Cancer research 81 (19), 5115-5126, 2021 | 52 | 2021 |
| Benzo (a) pyrene exposure induced neuronal loss, plaque deposition, and cognitive decline in APP/PS1 mice D Liu, Y Zhao, Y Qi, Y Gao, D Tu, Y Wang, HM Gao, H Zhou Journal of Neuroinflammation 17, 1-17, 2020 | 21 | 2020 |
| Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression-based convolutional neural networks P Weitz, Y Wang, K Kartasalo, L Egevad, J Lindberg, H Grönberg, ... Bioinformatics 38 (13), 3462-3469, 2022 | 18 | 2022 |
| Ultrafine carbon particles promote rotenone-induced dopamine neuronal loss through activating microglial NADPH oxidase Y Wang, D Liu, H Zhang, Y Wang, L Wei, Y Liu, J Liao, HM Gao, H Zhou Toxicology and Applied Pharmacology 322, 51-59, 2017 | 15 | 2017 |
| Using deep learning to detect patients at risk for prostate cancer despite benign biopsies B Liu, Y Wang, P Weitz, J Lindberg, J Hartman, W Wang, L Egevad, ... Iscience 25 (7), 2022 | 11 | 2022 |
| An investigation of attention mechanisms in histopathology whole-slide-image analysis for regression objectives P Weitz, Y Wang, J Hartman, M Rantalainen Proceedings of the IEEE/CVF International Conference on Computer Vision, 611-619, 2021 | 8 | 2021 |
| Development and prognostic validation of a three-level NHG-like deep learning-based model for histological grading of breast cancer A Sharma, P Weitz, Y Wang, B Liu, J Vallon-Christersson, J Hartman, ... Breast Cancer Research 26 (1), 17, 2024 | 3 | 2024 |
| Double-stranded RNA-induced dopaminergic neuronal loss in the substantia nigra in the presence of Mac1 receptor W Xu, Y Wang, H Quan, D Liu, H Zhang, Y Qi, Q Li, J Liao, HM Gao, ... Biochemical and Biophysical Research Communications 533 (4), 1148-1154, 2020 | 2 | 2020 |
| Validation of spatial gene expression patterns predicted by deep convolutional neural networks from breast cancer histopathology images K Ton, Y Wang, L Pan, K Kartasalo, B Acs, P Weitz, L Zhang, Y Liang, ... Cancer Research 83 (7_Supplement), 5432-5432, 2023 | | 2023 |
| Transcriptome-wide prediction of prostate can-cer gene expression from histopathology im-ages using co-expression based convolutional neural networks P Weitz, Y Wang, K Kartasalo, L Egevad, J Lindberg, H Grönberg, ... | | 2022 |
| Abstract P5-02-06: Improved histologic grading of breast cancer by a novel deep learning-based model M Rantalainen, Y Wang, B Acz, S Robertson, J Hartman Cancer Research 80 (4_Supplement), P5-02-06-P5-02-06, 2020 | | 2020 |
