Predicting molecular phenotypes from histopathology images: a transcriptome-wide expression-morphology analysis in breast cancer. - Yinxi Wang; Kimmo Kartasalo; Masi Valkonen; Christer Larsson; Pekka Ruusuvuori; Johan Hartman; Mattias Rantalainen (CoRR, 2020)

An investigation of attention mechanisms in histopathology whole-slide-image analysis for regression objectives. - Philippe Weitz; Yinxi Wang; Johan Hartman; Mattias Rantalainen (ICCVW, 2021)

Using deep learning to detect patients at risk for prostate cancer despite benign biopsies. - Bojing Liu; Yinxi Wang; Philippe Weitz; Johan Lindberg; Lars Egevad; Henrik Grönberg; Martin Eklund; Mattias Rantalainen (CoRR, 2021)

Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression-based convolutional neural networks. - Philippe Weitz; Yinxi Wang; Kimmo Kartasalo; Lars Egevad; Johan Lindberg; Henrik Grönberg; Martin Eklund; Mattias Rantalainen (Bioinform., 2022)

Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence Assisted Cancer Diagnosis. - Xiaoyi Ji; Richard Salmon; Nita Mulliqi; Umair Khan; Yinxi Wang; Anders Blilie; Henrik Olsson; Bodil Ginnerup Pedersen; Karina Dalsgaard Sørensen; Benedicte Parm Ulhøi; Svein Reidar Kjosavik; Emilius A. M. Janssen; et al. (CoRR, 2023)

One-Shot Affordance Grounding of Deformable Objects in Egocentric Organizing Scenes. - Wanjun Jia; Fan Yang 063; Mengfei Duan; Xianchi Chen; Yinxi Wang; Yiming Jiang 001; Wenrui Chen; Kailun Yang 001; Zhiyong Li 001 (CoRR, 2025)