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Seguí A, Ugalde A, Fichtner A, Ventpsa S, Morros JR. DASPack: Controlled Data Compression for Distributed Acoustic Sensing. Geophysical Journal International. 2026;244(1).

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Casamitjana A, Sala-Llonch R, Tudela R, Andrés A, Orío S, Casas J, et al.. Deep Learning CT segmentation for dosimetry in postoperative endometrial carcinoma treatment. In XLI Congreso Anual de la Sociedad Española de Ingeniería Biomédica. Cartagena: Ediciones UPCT. Universidad Politécnica de Cartagena; 2023.

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Baldrich A, Paugam R, Casas J, Pardàs M, Àgueda A, Parsons R, et al.. Deep learning-based methodology for smoke plume segmentation of wildfire images. In 14th International Symposium on Fire Safety Science (IAFSS2023). Tsukuba, Japan: International Association for Fire Safety Science (IAFSS); 2023.

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Geleta M, Mas-Montserrat D, Giró-i-Nieto X, Ioannidis AG. Deep Variational Autoencoders for Population Genetics. 2023;.

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Duarte A. Data and methods for a visual understanding of sign languages. Torres J, Giró-i-Nieto X. Signal Theory and Communications. 2022.

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Temprana-Salvador J, López-García P, Vives JCastellví, de Haro L, Ballesta E, Abusleme MRojas, et al.. DigiPatICS: Digital Pathology Transformation of the Catalan Health Institute Network of 8 Hospitals - Planification, Implementation and Preliminary Results. Diagnostics. 2022;12(4).

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Giró-i-Nieto X. Deep Learning Representations for All (a.ka. the AI hype). 2021.

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Geleta M, Mas-Montserrat D, Bustamante C, Giró-i-Nieto X, Ioannidis AG. Deep variational autoencoders for population genetics: applications in classification, imputation, dimensionality reduction, and novel lossless data compression. In American Society of Human Genetics (ASHG). Virtual: ASHG; 2021.

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García-Gómez P. Development of a multimodal imaging system based on LIDAR. Royo S, Casas J. Optics and Optometry Department. Universitat Politècnica de Catalunya; 2021.

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Nieto JJosé. Discovery and Learning of Navigation Goals from Pixels in Minecraft. Campos V, Giró-i-Nieto X. 2021.

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Caselles P. Disentangling neural network structure from the weights space. Schürholt K, Borth D, Giró-i-Nieto X. 2021.

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Abadal S, Salgueiro L, Marcello J, Vilaplana V. A Dual Network for Super-Resolution and Semantic Segmentation of Sentinel-2 imagery. Remote Sensing. 2021;13(22):4547.

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Campos V. Deep Learning that Scales: Leveraging Compute and Data. Torres J, Giró-i-Nieto X. Computer Architecture. [Barcelona, Catalonia]: Universitat Politècnica de Catalunya; 2020.

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Giró-i-Nieto X. Deep Self-Supervised Learning for All. 2020.

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Balibrea M. Deep learning for semantic segmentation of airplane hyperspectral imaging. Salgueiro L, Vilaplana V. 2019.

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Deep Learning Representations for All (a.k.a. the AI hype). 2019.

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Lin X, Sanchez-Escobedo D, Casas J, Pardàs M. Depth Estimation and Semantic Segmentation from a Single RGB Image Using a Hybrid Convolutional Neural Network. Sensors. 2019;19(8).

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Casamitjana A, Petrone P, Falcon C, Artigues M, Operto G, Cacciaglia R, et al.. Detection of Amyloid Positive Cognitively unimpaired individuals using voxel-based machine learning on structural longitudinal brain MRI. In Alzheimer's Association International Conference. 2019.

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Casamitjana A, Petrone P, Falcon C, Artigues M, Operto G, Cacciaglia R, et al.. Detection of Amyloid-Positive Cognitively Unimpaired Individuals Using Voxel-Based Machine Learning on Structural Longitudinal Brain MRI. Alzheimer's & Dementia. 2019;15(754).

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Roisman A, Navarro A, Clot G, Castellano G, Gonzalez-Farre B, Pérez-Galan P, et al.. Differential expression of long non-coding RNAs related to proliferation and histological diversity in follicular lymphomas. British Journal of Haematology. 2019;184(3):373-383.

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Combalia M, Pérez-Anker J, García-Herrera A, Alos L, Vilaplana V, Marques F, et al.. Digitally Stained Confocal Microscopy through Deep Learning. In International Conference on Medical Imaging with Deep Learning (MIDL 2019). London; 2019.

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Ramon E. Deep Learning algorithms for 3D Reconstruction and Simulation of Aesthetic Procedures. Giró-i-Nieto X. 2018.

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Gomez P, Mohedano E, McGuinness K, Giró-i-Nieto X, O'Connor N. Demonstration of an Open Source Framework for Qualitative Evaluation of CBIR Systems. In ACM Multimedia. Seoul, South Korea: ACM; 2018.

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Bellver M, Maninis K-K, Pont-Tuset J, Torres J, Giró-i-Nieto X, van Gool L. Detection-aided liver lesion segmentation using deep learning. In ML4H: Machine Learning for Health Workshop at NIPS 2017. 2017.

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Bellver M. Detection-aided medical image segmentation using deep learning. Maninis K-K, Pont-Tuset J, van Gool L, Giró-i-Nieto X, Torres J. 2017.

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