SuperNoder: a tool to discover over-represented modular structures in networks. - Danilo Dessì; Jacopo Cirrone; Diego Reforgiato Recupero; Dennis E. Shasha (BMC Bioinform., 2018)

Learning Causality in Molecular Biology. - Jacopo Cirrone (2021)

A Data-Efficient Deep Learning Framework for Segmentation and Classification of Histopathology Images. - Pranav Singh; Jacopo Cirrone (ECCV Workshops (3), 2022)

Prediction of drug effectiveness in rheumatoid arthritis patients based on machine learning algorithms. - Shengjia Chen; Nikunj Gupta; Woodward B. Galbraith; Valay Shah; Jacopo Cirrone (ICBBE, 2022)

CASS: Cross Architectural Self-Supervision for Medical Image Analysis. - Pranav Singh; Elena Sizikova; Jacopo Cirrone (CoRR, 2022)

Enhancing Medical Image Segmentation: Optimizing Cross-Entropy Weights and Post-Processing with Autoencoders. - Pranav Singh; Luoyao Chen; Mei Chen; Jinqian Pan; Raviteja Chukkapalli; Shravan Chaudhari; Jacopo Cirrone (ICCV (Workshops), 2023)

Efficient Representation Learning for Healthcare with Cross-Architectural Self-Supervision. - Pranav Singh; Jacopo Cirrone (MLHC, 2023)

Cross-Architectural Positive Pairs improve the effectiveness of Self-Supervised Learning. - Pranav Singh; Jacopo Cirrone (CoRR, 2023)

Shifting to Machine Supervision: Annotation-Efficient Semi and Self-Supervised Learning for Automatic Medical Image Segmentation and Classification. - Pranav Singh; Raviteja Chukkapalli; Shravan Chaudhari; Luoyao Chen; Mei Chen; Jinqian Pan; Craig Smuda; Jacopo Cirrone (CoRR, 2023)

Free Form Medical Visual Question Answering in Radiology. - Abhishek Narayanan; Rushabh Musthyala; Rahul Sankar; Anirudh Prasad Nistala; Pranav Singh; Jacopo Cirrone (CoRR, 2024)

Exploring Intrinsic Properties of Medical Images for Self-Supervised Binary Semantic Segmentation. - Pranav Singh; Jacopo Cirrone (CoRR, 2024)