Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning. - Tim Prangemeier; Christian Wildner; André O. Françani; Christoph Reich; Heinz Koeppl (CIBCB, 2020)

Performance Comparison of Convolutional Neural Network Models for Object Detection in Tethered Balloon Imagery. - Débora F. Dos Santos; André O. Françani; Marcos R. O. A. Máximo; Arthur S. C. Ferreira (LARS/SBR/WRE, 2021)

Dense Prediction Transformer for Scale Estimation in Monocular Visual Odometry. - André O. Françani; Marcos R. O. de A. Máximo (LARS/SBR/WRE, 2022)

Yeast cell segmentation in microstructured environments with deep learning. - Tim Prangemeier; Christian Wildner; André O. Françani; Christoph Reich; Heinz Koeppl (Biosyst., 2022)

Analysis of the performance of U-Net neural networks for the segmentation of living cells. - André O. Françani (CoRR, 2022)

An Instance Segmentation Dataset of Yeast Cells in Microstructures. - Christoph Reich; Tim Prangemeier; André O. Françani; Heinz Koeppl (EMBC, 2023)

Motion Consistency Loss for Monocular Visual Odometry with Attention-Based Deep Learning. - André O. Françani; Marcos Ricardo Omena de Albuquerque Máximo (LARS/SBR/WRE, 2023)

Transformer-Based Model for Monocular Visual Odometry: A Video Understanding Approach. - André O. Françani; Marcos R. O. A. Máximo (IEEE Access, 2025)