Diego H. Milone

3.5k total citations
129 papers, 2.3k citations indexed

About

Diego H. Milone is a scholar working on Molecular Biology, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Diego H. Milone has authored 129 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 39 papers in Artificial Intelligence and 34 papers in Signal Processing. Recurrent topics in Diego H. Milone's work include Speech and Audio Processing (23 papers), Blind Source Separation Techniques (17 papers) and MicroRNA in disease regulation (14 papers). Diego H. Milone is often cited by papers focused on Speech and Audio Processing (23 papers), Blind Source Separation Techniques (17 papers) and MicroRNA in disease regulation (14 papers). Diego H. Milone collaborates with scholars based in Argentina, United States and Spain. Diego H. Milone's co-authors include Georgina Stegmayer, Hugo Leonardo Rufiner, Enzo Ferrante, Victoria Peterson, Nicolás Nieto, Agostina J. Larrazabal, Julio R. Galli, Leandro E. Di Persia, Leandro D. Vignolo and Emilio A. Laca and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Diego H. Milone

123 papers receiving 2.2k citations

Peers

Countries citing papers authored by Diego H. Milone

Since Specialization

Citations

This map shows the geographic impact of Diego H. Milone's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Diego H. Milone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego H. Milone more than expected).

Fields of papers citing papers by Diego H. Milone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diego H. Milone. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Diego H. Milone. The network helps show where Diego H. Milone may publish in the future.

Co-authorship network of co-authors of Diego H. Milone

This figure shows the co-authorship network connecting the top 25 collaborators of Diego H. Milone. A scholar is included among the top collaborators of Diego H. Milone based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Diego H. Milone. Diego H. Milone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Towards reliable WMH segmentation under domain shift: An application study using maximum entropy regularization to improve uncertainty estimation 2025 ·Computers in Biology and Medicine ·(unknown), Agostina J. Larrazabal, Diego H. Milone, José Dolz, Enzo Ferrante	1
2	Comprehensive benchmarking of large language models for RNA secondary structure prediction 2025 ·Briefings in Bioinformatics ·(unknown), Leandro A. Bugnon, M. Gérard, Leandro E. Di Persia, Georgina Stegmayer, Diego H. Milone	6
3	Multi-view hybrid graph convolutional network for volume-to-mesh reconstruction in cardiovascular MRI 2025 ·Medical Image Analysis ·(unknown), (unknown), Yan Xia, Rodrigo Bonazzola, Nishant Ravikumar, Zeike A. Taylor, Diego H. Milone, Alejandro F. Frangi, Enzo Ferrante	0
4	sincFold: end-to-end learning of short- and long-range interactions in RNA secondary structure 2024 ·Briefings in Bioinformatics ·Leandro A. Bugnon, Leandro E. Di Persia, M. Gérard, (unknown), (unknown), Emilio Fenoy, Uciel Chorostecki, Federico Ariel, Georgina Stegmayer, Diego H. Milone	4
5	Neurophysiologically Meaningful Motor Imagery EEG Simulation With Applications to Data Augmentation 2024 ·IEEE Transactions on Neural Systems and Rehabilitation Engineering ·(unknown), Rubén D. Spies, Diego H. Milone, Victoria Peterson	4
6	CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images 2024 ·Scientific Data ·(unknown), (unknown), (unknown), (unknown), (unknown), Diego H. Milone, Enzo Ferrante	8
7	Using segment-based features of jaw movements to recognise foraging activities in grazing cattle 2023 ·Biosystems Engineering ·José O. Chelotti, (unknown), (unknown), Julio R. Galli, Santiago A. Utsumi, (unknown), (unknown), Diego H. Milone, Leonardo L. Giovanini, Hugo Leonardo Rufiner	9
8	Improving Anatomical Plausibility in Medical Image Segmentation via Hybrid Graph Neural Networks: Applications to Chest X-Ray Analysis 2022 ·IEEE Transactions on Medical Imaging ·(unknown), (unknown), (unknown), Diego H. Milone, Enzo Ferrante	30
9	On the relationship between research parasites and fairness in machine learning: challenges and opportunities 2021 ·GigaScience ·Nicolás Nieto, Agostina J. Larrazabal, Victoria Peterson, Diego H. Milone, Enzo Ferrante	1
10	Deep Learning for the discovery of new pre-miRNAs: Helping the fight against COVID-19 2021 ·SHILAP Revista de lepidopterología ·Leandro A. Bugnon, (unknown), Gabriela Merino, (unknown), Federico Ariel, Diego H. Milone, Georgina Stegmayer	13
11	ChronoRoot: High-throughput phenotyping by deep segmentation networks reveals novel temporal parameters of plant root system architecture 2021 ·GigaScience ·(unknown), Federico Ariel, (unknown), (unknown), (unknown), Thomas Roulé, (unknown), Diego H. Milone, Martín Crespi, Thomas Blein, Enzo Ferrante	33
12	Learning deformable registration of medical images with anatomical constraints 2020 ·Neural Networks ·(unknown), Diego H. Milone, Enzo Ferrante	56
13	Novel SARS-CoV-2 encoded small RNAs in the passage to humans 2020 ·Bioinformatics ·Gabriela Merino, (unknown), Leandro A. Bugnon, (unknown), Laura Kamenetzky, Juan Daniel Claus, Federico Ariel, Diego H. Milone, Georgina Stegmayer	20
14	Audio recordings dataset of grazing jaw movements in dairy cattle 2020 ·SHILAP Revista de lepidopterología ·(unknown), José O. Chelotti, Leandro A. Bugnon, Hugo Leonardo Rufiner, Diego H. Milone, Emilio A. Laca, Julio R. Galli	11
15	Predicting novel microRNA: a comprehensive comparison of machine learning approaches 2018 ·Briefings in Bioinformatics ·Georgina Stegmayer, Leandro E. Di Persia, (unknown), M. Gérard, Milton Pividori, (unknown), Leandro A. Bugnon, (unknown), (unknown), Diego H. Milone	31
16	Dimensional Affect Recognition from HRV: An Approach Based on Supervised SOM and ELM 2017 ·IEEE Transactions on Affective Computing ·Leandro A. Bugnon, Rafael A. Calvo, Diego H. Milone	11
17	Feature extraction based on bio-inspired model for robust emotion recognition 2016 ·Soft Computing ·(unknown), Diego H. Milone, Hugo Leonardo Rufiner	8
18	Emotion recognition in never-seen languages using a novel ensemble method with emotion profiles 2015 ·IEEE Transactions on Affective Computing ·(unknown), Diego H. Milone	38
19	Reconocimiento automático del habla con redes neuronales artificiales 2005 ·SHILAP Revista de lepidopterología ·Diego H. Milone	0
20	Sistema de reconocimiento automático del habla 2004 ·SHILAP Revista de lepidopterología ·Hugo Leonardo Rufiner, Diego H. Milone	1

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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