Stefano Malacrino

According to our database, Stefano Malacrino authored at least 6 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Histology-informed tiling of whole tissue sections improves the interpretability and predictability of cancer relapse and genetic alterations.

Willem Bonnaffé, Yang Hu, Andrea Chatrian, Mengran Fan, Stefano Malacrino, Sandy Figiel, CRUK ICGC Prostate Group, Srinivasa R. Rao, Richard Colling, Richard J. Bryant, Freddie C. Hamdy, Dan J. Woodcock, Ian Mills, Clare Verrill, Jens Rittscher

CoRR, November, 2025

Self-interactive learning: Fusion and evolution of multi-scale histomorphology features for molecular traits prediction in computational pathology.

Yang Hu, Korsuk Sirinukunwattana, Bin Li, Kezia Gaitskell, Enric Domingo, Willem Bonnaffé, Marta Wojciechowska, Ruby Wood, Nasullah Khalid Alham, Stefano Malacrino, Dan J. Woodcock, Clare Verrill, Ahmed Ahmed, Jens Rittscher

Medical Image Anal., 2025

2022

Multi-Scale Graphical Representation of Cell Environment.

Helen Theissen, Tapabrata Chakraborty, Stefano Malacrino, Daniel Royston, Jens Rittscher

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

A Graph Based Neural Network Approach to Immune Profiling of Multiplexed Tissue Samples.

Natalia Garcia Martin, Stefano Malacrino, Marta Wojciechowska, Leticia Campo, Helen Jones, David C. Wedge, Chris Holmes, Korsuk Sirinukunwattana, Heba Sailem, Clare Verrill, Jens Rittscher

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Early Detection of Liver Fibrosis Using Graph Convolutional Networks.

Marta Wojciechowska, Stefano Malacrino, Natalia Garcia Martin, Hamid Fehri, Jens Rittscher

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Learning Cellular Phenotypes through Supervision.

Helen Theissen, Tapabrata Chakraborti, Stefano Malacrino, Korsuk Sirinukunwattana, Daniel Royston, Jens Rittscher

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021