A deep learning based multiscale approach to segment cancer area in liver whole slide image. - Yanbo Feng; Adel Hafiane; Hélène Laurent (CoRR, 2020)

A deep learning based multiscale approach to segment the areas of interest in whole slide images. - Yanbo Feng; Adel Hafiane; Hélène Laurent (Comput. Medical Imaging Graph., 2021)

Research on Trajectory Tracking Control of Non-holonomic Wheeled Robot Using Backstepping Adaptive PI Controller. - Beining Chen; Yuhan Cao; Yanbo Feng (ACIRS, 2022)

Weakly Supervised Segmentation of Histopathology Images: An Insight in Feature Maps Ability for Learning Models Interpretation. - Yanbo Feng; Adel Hafiane; Hélène Laurent (VISIGRAPP (5: VISAPP), 2022)

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)

Fair Canonical Correlation Analysis. - Zhuoping Zhou; Davoud Ataee Tarzanagh; Bojian Hou; Boning Tong; Jia Xu; Yanbo Feng; Qi Long; Li Shen 001 (NeurIPS, 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)

A weakly supervised end-to-end framework for semantic segmentation of cancerous area in whole slide image. - Yanbo Feng; Adel Hafiane; Hélène Laurent (Pattern Anal. Appl., 2024)