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)

ACROBAT - a multi-stain breast cancer histological whole-slide-image data set from routine diagnostics for computational pathology. - Philippe Weitz; Masi Valkonen; Leslie Solorzano; Circe Carr; Kimmo Kartasalo; Constance Boissin; Sonja Koivukoski; Aino Kuusela; Dusan Rasic; Yanbo Feng; Sandra Kristiane Sinius Pouplier; Abhinav Sharma; et al. (CoRR, 2022)

Multiresolution Self-Supervised Feature Integration via Attention Multiple Instance Learning for Histopathology Analysis. - Nikos Tsiknakis; Evangelos Tzoras; Ioannis Zerdes; Georgios C. Manikis; Balazs Acs; Johan Hartman; Thomas Hatschek; Theodoros Foukakis; Kostas Marias (EMBC, 2023)

Increasing the usefulness of already existing annotations through WSI registration. - Philippe Weitz; Viktoria Sartor; Balazs Acs; Stephanie Robertson; Daniel Budelmann; Johan Hartman; Mattias Rantalainen (CoRR, 2023)

The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue. - Philippe Weitz; Masi Valkonen; Leslie Solorzano; Circe Carr; Kimmo Kartasalo; Constance Boissin; Sonja Koivukoski; Aino Kuusela; Dusan Rasic; Yanbo Feng; Sandra Kristiane Sinius Pouplier; Abhinav Sharma; et al. (Medical Image Anal., 2024)

Unveiling the Power of Model-Agnostic Multiscale Analysis for Enhancing Artificial Intelligence Models in Breast Cancer Histopathology Images. - Nikos Tsiknakis; Georgios C. Manikis; Evangelos Tzoras; Dimitrios Salgkamis; Joan Martinez Vidal; Kang Wang; Dimitris Zaridis; Emmanouil G. Sifakis; Ioannis Zerdes; Jonas Bergh; Johan Hartman; Balazs Acs; et al. (IEEE J. Biomed. Health Informatics, 2024)