Performance Evaluation of an Automatic Fingerprint Classification Algorithm Adapted to a Vucetich Based Classification System. - Alberto Bartesaghi; Alicia Fernández; Alvaro Gómez (AVBPA, 2001)

Non-photorealistic rendering from multiple images. - Alberto Bartesaghi; Guillermo Sapiro; Thomas Malzbender; Dan Gelb (ICIP, 2004)

A New Approach for 3D Segmentation of Cellular Tomograms Obtained Using Three-Dimensional Electron Microscopy. - Alberto Bartesaghi; Guillermo Sapiro; Stanton Lee; Jon Lefman; Sharon Wahl; Sriram Subramaniam; Jan Orenstein (ISBI, 2004)

Tracking of moving objects under severe and total occlusions. - Alberto Bartesaghi; Guillermo Sapiro (ICIP (1), 2005)

Three-dimensional shape rendering from multiple images. - Alberto Bartesaghi; Guillermo Sapiro; Thomas Malzbender; Dan Gelb (Graph. Model., 2005)

An Energy-Based Three-Dimensional Segmentation Approach for the Quantitative Interpretation of Electron Tomograms. - Alberto Bartesaghi; Guillermo Sapiro; Sriram Subramaniam (IEEE Trans. Image Process., 2005)

Segmentation of anatomical structure from DT-MRI. - Alberto Bartesaghi; Mariappan S. Nadar (ISBI, 2006)

O(N) implementation of the fast marching algorithm. - Liron Yatziv; Alberto Bartesaghi; Guillermo Sapiro (J. Comput. Phys., 2006)

Constrained regularization of digital terrain elevation data. - Anish Mohan; Alberto Bartesaghi; Guillermo Sapiro (IEEE Geosci. Remote. Sens. Lett., 2006)

Regularization for Inverting the Radon Transform with Wedge Consideration. - Iman Aganj; Alberto Bartesaghi; Mario Borgnia; Hstau Y. Liao; Guillermo Sapiro; Sriram Subramaniam (ISBI, 2007)

Classification, Averaging and Reconstruction of Macromolecules in Electron Tomography. - Alberto Bartesaghi; Pablo Sprechmann; Gregory Randall; Guillermo Sapiro; Sriram Subramaniam (ISBI, 2007)

Fundamental Limits in Multi-Image Alignment. - Cecilia Aguerrebere; Mauricio Delbracio; Alberto Bartesaghi; Guillermo Sapiro (IEEE Trans. Signal Process., 2016)

A Practical Guide to Multi-Image Alignment. - Cecilia Aguerrebere; Mauricio Delbracio; Alberto Bartesaghi; Guillermo Sapiro (ICASSP, 2018)

Unsupervised particle sorting for high-resolution single-particle cryo-EM. - Ye Zhou; Amit Moscovich; Tamir Bendory; Alberto Bartesaghi (CoRR, 2019)

Cryo-ZSSR: multiple-image super-resolution based on deep internal learning. - Qinwen Huang; Ye Zhou; Xiaochen Du; Reed Chen; Jianyou Wang; Cynthia Rudin; Alberto Bartesaghi (CoRR, 2020)

Single-Particle Cryo-Electron Microscopy: Mathematical Theory, Computational Challenges, and Opportunities. - Tamir Bendory; Alberto Bartesaghi; Amit Singer (IEEE Signal Process. Mag., 2020)

Smartscope: AI-driven grid navigation for high-throughput cryo-EM. - Jonathan Bouvette; Qinwen Huang; Alberto Bartesaghi; Mario J. Borgnia (AIPR, 2021)

Joint Model for Image Denoising and Detection of Proteins Imaged by Cryo-EM. - Qinwen Huang; Ye Zhou; Alberto Bartesaghi (AIPR, 2021)

Accurate Detection of Proteins in Cryo-Electron Tomograms from Sparse Labels. - Qinwen Huang; Ye Zhou; Hsuan-Fu Liu; Alberto Bartesaghi (ECCV (21), 2022)

Weakly Supervised Learning for Joint Image Denoising and Protein Localization in Cryo-Electron Microscopy. - Qinwen Huang; Ye Zhou; Hsuan-Fu Liu; Alberto Bartesaghi (WACV, 2022)

Data-driven determination of number of discrete conformations in single-particle cryo-EM. - Ye Zhou; Amit Moscovich; Alberto Bartesaghi (Comput. Methods Programs Biomed., 2022)