Luca Lumetti

According to our database, Luca Lumetti authored at least 13 papers between 2023 and 2025.

Collaborative distances:

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

2025

Segmenting the Inferior Alveolar Canal in CBCTs Volumes: The ToothFairy Challenge.

Federico Bolelli, Luca Lumetti, Shankeeth Vinayahalingam, Mattia Di Bartolomeo, Arrigo Pellacani, Kevin Marchesini, Niels van Nistelrooij, Pieter van Lierop, Tong Xi, Yusheng Liu, Rui Xin, Tao Yang, Lisheng Wang, Haoshen Wang, Chenfan Xu, Zhiming Cui, Marek Wodzinski, Henning Müller, Yannick Kirchhoff, Maximilian Rokuss, Klaus H. Maier-Hein, Jae-Hwan Han, Wan Kim, Hong-Gi Ahn, Tomasz Szczepanski, Michal K. Grzeszczyk, Przemyslaw Korzeniowski, Vicent Caselles Costa, Xavier Paolo Burgos-Artizzu, Ferran Prados Carrasco, Stefaan Berge', Bram van Ginneken, Alexandre Anesi, Costantino Grana

IEEE Trans. Medical Imaging, April, 2025

Taming Mambas for 3D Medical Image Segmentation.

Luca Lumetti, Vittorio Pipoli, Kevin Marchesini, Elisa Ficarra, Costantino Grana, Federico Bolelli

IEEE Access, 2025

Accurate 3D Medical Image Segmentation with Mambas.

Luca Lumetti, Vittorio Pipoli, Kevin Marchesini, Elisa Ficarra, Costantino Grana, Federico Bolelli

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Segmenting Maxillofacial Structures in CBCT Volumes.

Federico Bolelli, Kevin Marchesini, Niels van Nistelrooij, Luca Lumetti, Vittorio Pipoli, Elisa Ficarra, Shankeeth Vinayahalingam, Costantino Grana

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Efficient MedSAMs: Segment Anything in Medical Images on Laptop.

Jun Ma, Feifei Li, Sumin Kim, Reza Asakereh, Bao-Hiep Le, Dang-Khoa Nguyen-Vu, Alexander Pfefferle, Muxin Wei, Ruochen Gao, Donghang Lyu, Songxiao Yang, Lennart Purucker, Zdravko Marinov, Marius Staring, Haisheng Lu, Thuy Thanh Dao, Xincheng Ye, Zhi Li, Gianluca Brugnara, Philipp Vollmuth, Martha Foltyn-Dumitru, Jaeyoung Cho, Mustafa A. Mahmutoglu, Martin Bendszus, Irada Pflüger, Aditya Rastogi, Dong Ni, Xin Yang, Guang-Quan Zhou, Kaini Wang, Nicholas Heller, Nikolaos Papanikolopoulos, Christopher Weight, Yubing Tong, Jayaram K. Udupa, Patrick J. Cahill, Yaqi Wang, Yifan Zhang, Francisco Contijoch, Elliot R. McVeigh, Xin Ye, Shucheng He, Robert Haase, Thomas Pinetz, Alexander Radbruch, Inga Krause, Erich Kobler, Jian He, Yucheng Tang, Haichun Yang, Yuankai Huo, Gongning Luo, Kaisar Kushibar, Jandos Amankulov, Dias Toleshbayev, Amangeldi Mukhamejan, Jan Egger, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Shohei Fujita, Tomohiro Kikuchi, Benedikt Wiestler, Jan S. Kirschke, Ezequiel de la Rosa, Federico Bolelli, Luca Lumetti, Costantino Grana, Kunpeng Xie, Guomin Wu, Behrus Puladi, Carlos Martín-Isla, Karim Lekadir, Víctor M. Campello, Wei Shao, Wayne Brisbane, Hongxu Jiang, Hao Wei, Wu Yuan, Shuangle Li, Yuyin Zhou, Bo Wang

CoRR, 2024

Taming Mambas for Voxel Level 3D Medical Image Segmentation.

Luca Lumetti, Vittorio Pipoli, Kevin Marchesini, Elisa Ficarra, Costantino Grana, Federico Bolelli

CoRR, 2024

Enhancing Patch-Based Learning for the Segmentation of the Mandibular Canal.

Luca Lumetti, Vittorio Pipoli, Federico Bolelli, Elisa Ficarra, Costantino Grana

IEEE Access, 2024

Identifying Impurities in Liquids of Pharmaceutical Vials.

Gabriele Rosati, Kevin Marchesini, Luca Lumetti, Federica Sartori, Beatrice Balboni, Filippo Begarani, Luca Vescovi, Federico Bolelli, Costantino Grana

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Location Matters: Harnessing Spatial Information to Enhance the Segmentation of the Inferior Alveolar Canal in CBCTs.

Luca Lumetti, Vittorio Pipoli, Federico Bolelli, Elisa Ficarra, Costantino Grana

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Investigating the ABCDE Rule in Convolutional Neural Networks.

Federico Bolelli, Luca Lumetti, Kevin Marchesini, Ettore Candeloro, Costantino Grana

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision.

Jianning Li, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Yuan Jin, Narmada Ambigapathy, Enrico Nasca, Naida Solak, Gian Marco Melito, Afaque R. Memon, Xiaojun Chen, Jan Stefan Kirschke, Ezequiel de la Rosa, Patrick Ferdinand Christ, Hongwei Bran Li, David G. Ellis, Michele R. Aizenberg, Sergios Gatidis, Thomas Küstner, Nadya Shusharina, Nicholas Heller, Vincent Andrearczyk, Adrien Depeursinge, Mathieu Hatt, Anjany Sekuboyina, Maximilian Löffler, Hans Liebl, Reuben Dorent, Tom Vercauteren, Jonathan Shapey, Aaron Kujawa, Stefan Cornelissen, Patrick Langenhuizen, Achraf Ben-Hamadou, Ahmed Rekik, Sergi Pujades, Edmond Boyer, Federico Bolelli, Costantino Grana, Luca Lumetti, Hamidreza Salehi, Jun Ma, Yao Zhang, Ramtin Gharleghi, Susann Beier, Arcot Sowmya, Eduardo A. Garza-Villarreal, Thania Balducci, et al.

CoRR, 2023

Annotating the Inferior Alveolar Canal: The Ultimate Tool.

Luca Lumetti, Vittorio Pipoli, Federico Bolelli, Costantino Grana

Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

Buffer-MIL: Robust Multi-instance Learning with a Buffer-Based Approach.

Gianpaolo Bontempo, Luca Lumetti, Angelo Porrello, Federico Bolelli, Simone Calderara, Elisa Ficarra

Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023