Publications

Maik Henrich, Christian Fiderer, Alisa Klamm, Anja Schneider, Axel Ballmann, Jürgen Stein, Raffael Kratzer, Rudolf Reiner, Sina Greiner, Sönke Twietmeyer, Tobias Rönitz, Volker Spicher, Simon Chamaillé-Jammes, Vincent Miele, Gaspard Dussert, Marco Heurich (2025). Camera traps and deep learning enable efficient large-scale density estimation of wildlife in temperate forest ecosystems. Remote Sensing in Ecology and Conservation.

Gaspard Dussert, Stéphane Dray, Simon Chamaillé-Jammes, Vincent Miele (2025). Paying Attention to Other Animal Detections Improves Camera Trap Classification Models. bioRxiv.

Gaspard Dussert, Vincent Miele, Colin Van Reeth, Anne Delestrade, Stéphane Dray, Simon Chamaillé-Jammes (2025). Zero-shot animal behaviour classification with vision-language foundation models. Methods in Ecology and Evolution.

Gaspard Dussert, Simon Chamaillé-Jammes, Vincent Miele, Stéphane Dray (2024). Being confident in confidence scores: calibration in deep learning models for camera trap image sequences. Remote Sens Ecol Conserv.

Noa Rigoudy, Gaspard Dussert, The DeepFaune Consortium, Bruno Spataro, Vincent Miele, Simon Chamaillé-Jammes (2023). The DeepFaune initiative: a collaborative effort towards the automatic identification of European fauna in camera trap images. European Journal of Wildlife Research.

Audrey Duran, Gaspard Dussert, Carole Lartizien (2022). ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans. Medical Image Analysis.

Audrey Duran, Gaspard Dussert, Carole Lartizien (2022). Perfusion imaging in deep prostate cancer detection from mp-MRI: can we take advantage of it?. IEEE 19th International Symposium on Biomedical Imaging (ISBI).

Audrey Duran, Gaspard Dussert, Carole Lartizien (2022). Learning to segment prostate cancer by aggressiveness from scribbles in bi-parametric MRI. SPIE Medical Imaging.

Vincent Miele, Gaspard Dussert, Bruno Spataro, Simon Chamaillé-Jammes, Dominique Allainé, Christophe Bonenfant (2021). Revisiting animal photo-identification using deep metric learning and network analysis. Methods in Ecology and Evolution.

Vincent Miele, Gaspard Dussert, Thomas Cucchi, Sabrina Renaud (2020). Deep learning for species identification of modern and fossil rodent molars. bioRxiv.