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2020 – today
- 2024
[j47]Lorenzo Tronchin
, Ermanno Cordelli, Lorenzo Ricciardi Celsi, Daniele Maccagnola, Massimo Natale, Paolo Soda, Rosa Sicilia:
Translating Image XAI to Multivariate Time Series. IEEE Access 12: 27484-27500 (2024)- [j46]Michela Gravina, Angel García-Pedrero, Consuelo Gonzalo-Martín, Carlo Sansone, Paolo Soda:
Multi input-Multi output 3D CNN for dementia severity assessment with incomplete multimodal data. Artif. Intell. Medicine 149: 102774 (2024) - [j45]Aurora Rofena, Valerio Guarrasi, Marina Sarli, Claudia Lucia Piccolo, Matteo Sammarra, Bruno Beomonte Zobel, Paolo Soda:
A deep learning approach for virtual contrast enhancement in Contrast Enhanced Spectral Mammography. Comput. Medical Imaging Graph. 116: 102398 (2024) - [j44]Camillo Maria Caruso, Valerio Guarrasi, Sara Ramella, Paolo Soda:
A deep learning approach for overall survival prediction in lung cancer with missing values. Comput. Methods Programs Biomed. 254: 108308 (2024) - [j43]Omar Coser, Christian Tamantini, Paolo Soda, Loredana Zollo:
AI-based methodologies for exoskeleton-assisted rehabilitation of the lower limb: a review. Frontiers Robotics AI 11 (2024) - [j42]Valerio Guarrasi, Lorenzo Tronchin, Domenico Albano, Eliodoro Faiella, Deborah Fazzini, Domiziana Santucci, Paolo Soda:
Multimodal explainability via latent shift applied to COVID-19 stratification. Pattern Recognit. 156: 110825 (2024) - [j41]Michela Gravina, Domiziana Santucci, Ermanno Cordelli, Paolo Soda, Carlo Sansone:
Cross-Modality Calibration in Multi-Input Network for Axillary Lymph Node Metastasis Evaluation. IEEE Trans. Artif. Intell. 5(9): 4823-4836 (2024) - [i16]Francesco Di Feola, Lorenzo Tronchin, Valerio Guarrasi, Paolo Soda:
Multi-Scale Texture Loss for CT denoising with GANs. CoRR abs/2403.16640 (2024) - [i15]Filippo Ruffini, Lorenzo Tronchin, Zhuoru Wu, Wenting Chen, Paolo Soda, Linlin Shen, Valerio Guarrasi:
Multi-Dataset Multi-Task Learning for COVID-19 Prognosis. CoRR abs/2405.13771 (2024) - [i14]Camillo Maria Caruso, Paolo Soda, Valerio Guarrasi:
Not Another Imputation Method: A Transformer-based Model for Missing Values in Tabular Datasets. CoRR abs/2407.11540 (2024) - [i13]Chongsheng Zhang, George Almpanidis, Gaojuan Fan, Binquan Deng, Yanbo Zhang, Ji Liu, Aouaidjia Kamel, Paolo Soda, João Gama:
A Systematic Review on Long-Tailed Learning. CoRR abs/2408.00483 (2024) - [i12]Valerio Guarrasi, Fatih Aksu, Camillo Maria Caruso, Francesco Di Feola, Aurora Rofena, Filippo Ruffini, Paolo Soda:
A Systematic Review of Intermediate Fusion in Multimodal Deep Learning for Biomedical Applications. CoRR abs/2408.02686 (2024) - [i11]Guido Manni, Clemente Lauretti, Francesco Prata, Rocco Papalia, Loredana Zollo, Paolo Soda:
BodySLAM: A Generalized Monocular Visual SLAM Framework for Surgical Applications. CoRR abs/2408.03078 (2024) - 2023
- [j40]Matteo Tortora, Ermanno Cordelli, Rosa Sicilia, Lorenzo Nibid, Edy Ippolito, Giuseppe Perrone, Sara Ramella, Paolo Soda:
RadioPathomics: Multimodal Learning in Non-Small Cell Lung Cancer for Adaptive Radiotherapy. IEEE Access 11: 47563-47578 (2023) - [j39]Camillo Maria Caruso, Paolo Soda, Carlo Giammichele, Francesca Rotilio, Rosa Sicilia:
A Cascade of Learners for Firemen' Emergency Events Classification. IEEE Access 11: 122399-122410 (2023) - [j38]Chongsheng Zhang, Paolo Soda, Jingjun Bi, Gaojuan Fan, George Almpanidis, Salvador García, Weiping Ding:
An empirical study on the joint impact of feature selection and data resampling on imbalance classification. Appl. Intell. 53(5): 5449-5461 (2023) - [j37]Chongsheng Zhang, Paolo Soda, Jingjun Bi, Gaojuan Fan, George Almpanidis, Salvador García, Weiping Ding:
Correction to: An empirical study on the joint impact of feature selection and data resampling on imbalance classification. Appl. Intell. 53(7): 8506 (2023) - [j36]Valerio Guarrasi, Paolo Soda:
Multi-objective optimization determines when, which and how to fuse deep networks: An application to predict COVID-19 outcomes. Comput. Biol. Medicine 154: 106625 (2023) - [c78]Leonardo Furia, Matteo Tortora, Paolo Soda, Rosa Sicilia:
Exploring Early Stress Detection from Multimodal Time Series with Deep Reinforcement Learning. BIBM 2023: 1917-1920 - [c77]Domenico Paolo, Alessandro Bria, Carlo Greco, Marco Russano, Sara Ramella, Paolo Soda, Rosa Sicilia:
Named Entity Recognition in Italian Lung Cancer Clinical Reports using Transformers. BIBM 2023: 4101-4107 - [c76]Francesco Di Feola, Lorenzo Tronchin, Paolo Soda:
A Comparative Study Between Paired And Unpaired Image Quality Assessment In Low-Dose CT Denoising. CBMS 2023: 471-476 - [c75]Fatih Aksu, Fabrizia Gelardi, Arturo Chiti, Paolo Soda:
Early Experiences on using Triplet Networks for Histological Subtype Classification in Non-Small Cell Lung Cancer. CBMS 2023: 832-837 - [c74]Valerio Guarrasi, Lorenzo Tronchin, Camillo Maria Caruso, Aurora Rofena, Guido Manni, Fatih Aksu, Domenico Paolo, Giulio Iannello, Rosa Sicilia, Ermanno Cordelli, Paolo Soda:
Building an AI-Enabled Metaverse for Intelligent Healthcare: Opportunities and Challenges. Ital-IA 2023: 134-139 - [c73]Ermanno Cordelli, Valerio Guarrasi, Giulio Iannello, Filippo Ruffini, Rosa Sicilia, Paolo Soda, Lorenzo Tronchin:
Making AI trustworthy in multimodal and healthcare scenarios. Ital-IA 2023: 353-358 - [c72]Francesco Conte, Ermanno Cordelli, Valerio Guarrasi, Giulio Iannello, Rosa Sicilia, Paolo Soda, Matteo Tortora:
Sustainable AI: inside the deep, alongside the green. Ital-IA 2023: 622-627 - [i10]Francesco Di Feola, Lorenzo Tronchin, Paolo Soda:
A comparative study between paired and unpaired Image Quality Assessment in Low-Dose CT Denoising. CoRR abs/2304.05359 (2023) - [i9]Matteo Tortora, Francesco Conte, Gianluca Natrella, Paolo Soda:
MATNet: Multi-Level Fusion and Self-Attention Transformer-Based Model for Multivariate Multi-Step Day-Ahead PV Generation Forecasting. CoRR abs/2306.10356 (2023) - [i8]Lorenzo Tronchin, Minh H. Vu, Paolo Soda, Tommy Löfstedt:
LatentAugment: Data Augmentation via Guided Manipulation of GAN's Latent Space. CoRR abs/2307.11375 (2023) - [i7]Camillo Maria Caruso, Valerio Guarrasi, Sara Ramella, Paolo Soda:
A Deep Learning Approach for Overall Survival Prediction in Lung Cancer with Missing Values. CoRR abs/2307.11465 (2023) - [i6]Aurora Rofena, Valerio Guarrasi, Marina Sarli, Claudia Lucia Piccolo, Matteo Sammarra, Bruno Beomonte Zobel, Paolo Soda:
A Deep Learning Approach for Virtual Contrast Enhancement in Contrast Enhanced Spectral Mammography. CoRR abs/2308.00471 (2023) - 2022
- [j35]Matteo Testi, Matteo Ballabio, Emanuele Frontoni, Giulio Iannello, Sara Moccia, Paolo Soda, Gennaro Vessio:
MLOps: A Taxonomy and a Methodology. IEEE Access 10: 63606-63618 (2022) - [j34]Matteo Tortora, Ermanno Cordelli, Paolo Soda:
PyTrack: A Map-Matching-Based Python Toolbox for Vehicle Trajectory Reconstruction. IEEE Access 10: 112713-112720 (2022) - [j33]Camillo Maria Caruso, Valerio Guarrasi, Ermanno Cordelli, Rosa Sicilia, Silvia Gentile, Laura Messina, Michele Fiore, Claudia L. Piccolo, Bruno Beomonte Zobel, Giulio Iannello, Sara Ramella, Paolo Soda:
A Multimodal Ensemble Driven by Multiobjective Optimisation to Predict Overall Survival in Non-Small-Cell Lung Cancer. J. Imaging 8(11): 298 (2022) - [j32]Valerio Guarrasi, Natascha Claudia D'Amico, Rosa Sicilia, Ermanno Cordelli, Paolo Soda:
Pareto optimization of deep networks for COVID-19 diagnosis from chest X-rays. Pattern Recognit. 121: 108242 (2022) - [c71]Elisabetta Torre, Luisa Francini, Ermanno Cordelli, Rosa Sicilia, Silvia Manfrini, Vincenzo Piemonte, Paolo Soda:
Exploiting AI to make insulin pens smart: injection site recognition and lipodystrophy detection. CBMS 2022: 211-216 - [c70]Valerio Guarrasi, Paolo Soda:
Optimized Fusion of CNNs to Diagnose Pulmonary Diseases on Chest X-Rays. ICIAP (1) 2022: 197-209 - [c69]Michela Gravina, Ermanno Cordelli, Domiziana Santucci, Paolo Soda, Carlo Sansone:
Evaluating Tumour Bounding Options for Deep Learning-based Axillary Lymph Node Metastasis Prediction in Breast Cancer. ICPR 2022: 4335-4342 - [i5]Valerio Guarrasi, Paolo Soda:
Multi-objective optimization determines when, which and how to fuse deep networks: an application to predict COVID-19 outcomes. CoRR abs/2204.03772 (2022) - [i4]Matteo Tortora, Ermanno Cordelli, Rosa Sicilia, Lorenzo Nibid, Edy Ippolito, Giuseppe Perrone, Sara Ramella, Paolo Soda:
RadioPathomics: Multimodal Learning in Non-Small Cell Lung Cancer for Adaptive Radiotherapy. CoRR abs/2204.12423 (2022) - [i3]Valerio Guarrasi, Lorenzo Tronchin, Domenico Albano, Eliodoro Faiella, Deborah Fazzini, Domiziana Santucci, Paolo Soda:
Multimodal Explainability via Latent Shift applied to COVID-19 stratification. CoRR abs/2212.14084 (2022) - 2021
- [j31]Matteo Tortora, Ermanno Cordelli, Rosa Sicilia, Marianna Miele, Paolo Matteucci, Giulio Iannello, Sara Ramella, Paolo Soda:
Deep Reinforcement Learning for Fractionated Radiotherapy in Non-Small Cell Lung Carcinoma. Artif. Intell. Medicine 119: 102137 (2021) - [j30]Ermanno Cordelli, Paolo Soda, Giulio Iannello:
Visual4DTracker: a tool to interact with 3D + t image stacks. BMC Bioinform. 22(1): 53 (2021) - [j29]Sebastián Ventura, Paolo Soda, Alejandro Rodríguez González:
EDITORIAL. Comput. Intell. 37(4): 1458-1459 (2021) - [j28]Rosa Sicilia, Mario Merone, Roberto Valenti, Paolo Soda:
Rule-based space characterization for rumour detection in health. Eng. Appl. Artif. Intell. 105: 104389 (2021) - [j27]Alejandro Rodríguez González, Sebastián Ventura Soto, Paolo Soda, Jesualdo Tomás Fernández-Breis:
Introduction to the special issue on Methods and applications in the analysis of social data in healthcare. Inf. Process. Manag. 58(1): 102427 (2021) - [j26]Paolo Soda, Natascha Claudia D'Amico, Jacopo Tessadori, Giovanni Valbusa, Valerio Guarrasi, Chandra Bortolotto, Muhammad Usman Akbar, Rosa Sicilia, Ermanno Cordelli, Deborah Fazzini, Michaela Cellina, Giancarlo Oliva, Giovanni Callea, Silvia Panella, Maurizio Cariati, Diletta Cozzi, Vittorio Miele, Elvira Stellato, Gianpaolo Carrafiello, Giulia Castorani, Annalisa Simeone, Lorenzo Preda, Giulio Iannello, Alessio Del Bue, Fabio Tedoldi, Marco Alì, Diego Sona, Sergio Papa:
AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study. Medical Image Anal. 74: 102216 (2021) - [j25]Paolo Soda, Rosa Sicilia, Ludovica Acciai, Giulio Iannello:
Grasping Inter-Attribute and Temporal Variability in Multivariate Time Series. IEEE Trans. Big Data 7(5): 885-892 (2021) - [c68]Paolo Soda:
Artificial intelligence against COVID-19 Pandemic using Chest X-ray Images. ICCI*CC 2021: 4 - [c67]Lorenzo Tronchin, Rosa Sicilia, Ermanno Cordelli, Lorenzo Ricciardi Celsi, Daniele Maccagnola, Massimo Natale, Paolo Soda:
Explainable AI for Car Crash Detection using Multivariate Time Series. ICCI*CC 2021: 30-38 - [c66]Yingxu Wang, Bernard Widrow, Witold Pedrycz, Robert C. Berwick, Paolo Soda, Sam Kwong, Okyay Kaynak, Carlo S. Regazzoni, Christine W. Chan, Marina L. Gavrilova, Guoyin Wang:
IEEE ICCI*CC Series in Year 20: Latest Advances in Cognitive Informatics and Cognitive Computing towards General AI (Plenary Panel Report-I). ICCI*CC 2021: 253-263 - [c65]Valerio Guarrasi, Natascha Claudia D'Amico, Rosa Sicilia, Ermanno Cordelli, Paolo Soda:
A Multi-Expert System to Detect COVID-19 Cases in X-ray Images. CBMS 2021: 395-400 - [c64]Charles Z. Liu, Rosa Sicilia, Matteo Tortora, Ermanno Cordelli, Lorenzo Nibid, Giovanna Sabarese, Giuseppe Perrone, Michele Fiore, Sara Ramella, Paolo Soda:
Exploring Deep Pathomics in Lung Cancer. CBMS 2021: 407-412 - [c63]Rosa Sicilia, Luisa Francini, Paolo Soda:
Representation and Knowledge Transfer for Health-related Rumour Detection. CBMS 2021: 591-596 - [c62]Luisa Francini, Paolo Soda, Rosa Sicilia:
Describing rumours: a comparative evaluation of two handcrafted representations for rumour detection. IDT 2021: 311-318 - [c61]Lorenzo Tronchin, Rosa Sicilia, Ermanno Cordelli, Sara Ramella, Paolo Soda:
Evaluating GANs in Medical Imaging. DGM4MICCAI/DALI@MICCAI 2021: 112-121 - [e6]Yingxu Wang, Jane Z. Wang, Henry Leung, Newton Howard, Paolo Soda, Bernard Widrow, Jerome A. Feldman:
20th IEEE International Conference on Cognitive Informatics & Cognitive Computing, ICCI*CC 2021, Banff, AB, Canada, October 29-31, 2021. IEEE 2021, ISBN 978-1-6654-2119-5 [contents] - [e5]João Rafael Almeida, Alejandro Rodríguez González, Linlin Shen, Bridget Kane, Agma J. M. Traina, Paolo Soda, José Luís Oliveira:
34th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2021, Aveiro, Portugal, June 7-9, 2021. IEEE 2021, ISBN 978-1-6654-4121-6 [contents] - [i2]Chongsheng Zhang, Paolo Soda, Jingjun Bi, Gaojuan Fan, George Almpanidis, Salvador Garcia:
An Empirical Study on the Joint Impact of Feature Selection and Data Re-sampling on Imbalance Classification. CoRR abs/2109.00201 (2021) - 2020
- [j24]Federico D'Antoni, Mario Merone, Vincenzo Piemonte, Giulio Iannello, Paolo Soda:
Auto-Regressive Time Delayed jump neural network for blood glucose levels forecasting. Knowl. Based Syst. 203: 106134 (2020) - [c60]Rosa Sicilia, Ermanno Cordelli, Paolo Soda:
On Using Meta-Features to Learn Under Class Skew in Biomedical Domains. CBMS 2020: 251-256 - [c59]Ermanno Cordelli, Matteo Tortora, Rosa Sicilia, Paolo Soda:
Time-Window SIQR Analysis of COVID-19 Outbreak and Containment Measures in Italy. CBMS 2020: 277-282 - [c58]Ermanno Cordelli, Rosa Sicilia, Domiziana Santucci, Carlo de Felice, Carlo Cosimo Quattrocchi, Bruno Beomonte Zobel, Giulio Iannello, Paolo Soda:
Radiomics-Based Non-Invasive Lymph Node Metastases Prediction in Breast Cancer. CBMS 2020: 486-491 - [c57]Rosa Sicilia, Ermanno Cordelli, Paolo Soda:
Categorizing the feature space for two-class imbalance learning. ICPR 2020: 6181-6188 - [e4]Alba García Seco de Herrera, Alejandro Rodríguez González, KC Santosh, Zelalem Temesgen, Bridget Kane, Paolo Soda:
33rd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2020, Rochester, MN, USA, July 28-30, 2020. IEEE 2020, ISBN 978-1-7281-9429-5 [contents] - [i1]Paolo Soda, Natascha Claudia D'Amico, Jacopo Tessadori, Giovanni Valbusa, Valerio Guarrasi, Chandra Bortolotto, Muhammad Usman Akbar, Rosa Sicilia, Ermanno Cordelli, Deborah Fazzini, Michaela Cellina, Giancarlo Oliva, Giovanni Callea, Silvia Panella, Maurizio Cariati, Diletta Cozzi, Vittorio Miele, Elvira Stellato, Gianpaolo Carrafiello, Giulia Castorani, Annalisa Simeone, Lorenzo Preda, Giulio Iannello, Alessio Del Bue, Fabio Tedoldi, Marco Alì, Diego Sona, Sergio Papa:
AIforCOVID: predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study. CoRR abs/2012.06531 (2020)
2010 – 2019
- 2019
- [j23]Mario Merone, Carlo Sansone, Paolo Soda:
A computer-aided diagnosis system for HEp-2 fluorescence intensity classification. Artif. Intell. Medicine 97: 71-78 (2019) - [j22]Natascha Claudia D'Amico, Mario Merone, Rosa Sicilia, Ermanno Cordelli, Federico D'Antoni, Isa Bossi Zanetti, Giovanni Valbusa, Enzo Grossi, Giancarlo Beltramo, Deborah Fazzini, Giuseppe Scotti, Giulio Iannello, Paolo Soda:
Tackling imbalance radiomics in acoustic neuroma. Int. J. Data Min. Bioinform. 22(4): 365-388 (2019) - [c56]Yingxu Wang, Konstantinos N. Plataniotis, Sam Kwong, Henry Leung, Svetlana N. Yanushkevich, Fakhri Karray, Ming Hou, Newton Howard, Rodolfo A. Fiorini, Paolo Soda, Edward W. Tunstel, Jianmin Wang, Shushma Patel:
On Autonomous Systems: From Reflexive, Imperative and Adaptive Intelligence to Autonomous and Cognitive Intelligence. ICCI*CC 2019: 7-12 - [c55]Federico D'Antoni, Mario Merone, Vincenzo Piemonte, Paolo Pozzilli, Giulio Iannello, Paolo Soda:
Early Experience in Forecasting Blood Glucose Levels Using a Delayed and Auto-Regressive Jump Neural Network. ICCI*CC 2019: 394-402 - [c54]Rosa Sicilia, Ermanno Cordelli, Mario Merone, Elia Luperto, Rocco Papalia, Giulio Iannello, Paolo Soda:
Early Radiomic Experiences in Classifying Prostate Cancer Aggressiveness using 3D Local Binary Patterns. CBMS 2019: 355-360 - 2018
- [j21]Ermanno Cordelli, Giuseppe Maulucci, Marco De Spirito, Alessandro Rizzi, Dario Pitocco, Paolo Soda:
A decision support system for type 1 diabetes mellitus diagnostics based on dual channel analysis of red blood cell membrane fluidity. Comput. Methods Programs Biomed. 162: 263-271 (2018) - [j20]Rosa Sicilia, Stella Lo Giudice, Yulong Pei, Mykola Pechenizkiy, Paolo Soda:
Twitter rumour detection in the health domain. Expert Syst. Appl. 110: 33-40 (2018) - [c53]Mario Merone, Panaiotis Finamore, Claudio Pedone, Raffaele Antonelli Incalzi, Giulio Iannello, Paolo Soda:
Discovering COPD phenotyping via simultaneous feature selection and clustering. BIBM 2018: 476-481 - [c52]Natascha Claudia D'Amico, Rosa Sicilia, Ermanno Cordelli, Giovanni Valbusa, Enzo Grossi, Isa Bossi Zanetti, Giancarlo Beltramo, Deborah Fazzini, Giuseppe Scotti, Giulio Iannello, Paolo Soda:
Radiomics for Predicting CyberKnife response in acoustic neuroma: a pilot study. BIBM 2018: 847-852 - [c51]Ermanno Cordelli, Mario Merone, Flavio Di Giacinto, Bareket Daniel, Giuseppe Maulucci, Shlomo Sasson, Paolo Soda:
Early experiences in 4D quantitative analysis of insulin granules in living beta-cells. BIBM 2018: 2009-2016 - [c50]Rosa Sicilia, Mario Merone, Roberto Valenti, Ermanno Cordelli, Federico D'Antoni, Vincenzo De Ruvo, Patrizia Benedetta Dragone, Sara Esposito, Paolo Soda:
Cross-topic Rumour Detection in the Health Domain. BIBM 2018: 2056-2063 - [c49]Rosa Sicilia, Ermanno Cordelli, Sara Ramella, Michele Fiore, Carlo Greco, Elisabetta Molfese, Marianna Miele, Enrica Vinciguerra, Patrizia Cornacchione, Edy Ippolito, Rolando Maria D'Angelillo, Giulio Iannello, Paolo Soda:
Exploratory Radiomics for Predicting Adaptive Radiotherapy in Non-Small Cell Lung Cancer. CBMS 2018: 250-255 - [c48]Pierangelo Afferni, Mario Merone, Paolo Soda:
Hospital 4.0 and Its Innovation in Methodologies and Technologies. CBMS 2018: 333-338 - [e3]Jaakko Hollmén, Carolyn McGregor, Paolo Soda, Bridget Kane:
31st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2018, Karlstad, Sweden, June 18-21, 2018. IEEE Computer Society 2018, ISBN 978-1-5386-6060-7 [contents] - 2017
- [j19]Mario Merone, Paolo Soda, Mario Sansone, Carlo Sansone:
ECG databases for biometric systems: A systematic review. Expert Syst. Appl. 67: 189-202 (2017) - [j18]Mario Merone, Claudio Pedone, Giuseppe Capasso, Raffaele Antonelli Incalzi, Paolo Soda:
A Decision Support System for Tele-Monitoring COPD-Related Worrisome Events. IEEE J. Biomed. Health Informatics 21(2): 296-302 (2017) - [c47]Chongsheng Zhang, Jingjun Bi, Paolo Soda:
Feature selection and resampling in class imbalance learning: Which comes first? An empirical study in the biological domain. BIBM 2017: 933-938 - [c46]Rosa Sicilia, Stella Lo Giudice, Yulong Pei, Mykola Pechenizkiy, Paolo Soda:
Health-related rumour detection on Twitter. BIBM 2017: 1599-1606 - 2016
- [j17]Leonardo Onofri, Paolo Soda, Mykola Pechenizkiy, Giulio Iannello:
A survey on using domain and contextual knowledge for human activity recognition in video streams. Expert Syst. Appl. 63: 97-111 (2016) - [j16]Ludovica Acciai, Paolo Soda, Giulio Iannello:
Automated Neuron Tracing Methods: An Updated Account. Neuroinformatics 14(4): 353-367 (2016) - [c45]Mario Merone, Leonardo Onofri, Claudio Pedone, Angela M. Bussu, Barbara F. M. Rubiu, Giuseppe Capasso, Silvano Salaris, Giulio Iannello, Raffaele Antonelli Incalzi, Paolo Soda:
On the remote detection of COPD-related worrisome events. BHI 2016: 33-36 - [c44]Mario Merone, Paolo Soda:
On Using Active Contour to Segment HEp-2 Cells. CBMS 2016: 118-123 - [c43]Ludovica Acciai, Paolo Soda, Giulio Iannello:
Automatic Neuron Tracing Using a Locally Tunable Approach. CBMS 2016: 130-135 - [c42]Ermanno Cordelli, Giovambattista Pani, Dario Pitocco, Giuseppe Maulucci, Paolo Soda:
Early Experiences in Using Blood Cells Biomembranes as Markers for Diabetes Diagnosis. CBMS 2016: 197-202 - [c41]Ludovica Acciai, Irene Costantini, Francesco Saverio Pavone, Valerio Conti, Renzo Guerrini, Paolo Soda, Giulio Iannello:
Towards automated neuron tracing via global and local 3D image analysis. ISBI 2016: 322-325 - 2015
- [c40]Alessandro Borreo, Leonardo Onofri, Paolo Soda:
A multi-environment dataset for activity of daily living recognition in video streams. EMBC 2015: 747-750 - [c39]Paolo Soda, Ludovica Acciai, Ermanno Cordelli, Irene Costantini, Leonardo Sacconi, Francesco Saverio Pavone, Valerio Conti, Renzo Guerrini, Paolo Frasconi, Giulio Iannello:
Computer-based automatic identification of neurons in gigavoxel-sized 3D human brain images. EMBC 2015: 7724-7727 - 2014
- [j15]Paolo Frasconi, Ludovico Silvestri, Paolo Soda, Roberto Cortini, Francesco Pavone, Giulio Iannello:
Large-scale automated identification of mouse brain cells in confocal light sheet microscopy images. Bioinform. 30(17): 587-593 (2014) - [j14]Leonardo Onofri, Paolo Soda, Giulio Iannello:
Multiple subsequence combination in human action recognition. IET Comput. Vis. 8(1): 26-34 (2014) - [j13]Pasquale Foggia, Gennaro Percannella, Paolo Soda, Mario Vento:
Special issue on the analysis and recognition of indirect immuno-fluorescence images. Pattern Recognit. 47(7): 2303-2304 (2014) - [j12]Giulio Iannello, Gennaro Percannella, Paolo Soda, Mario Vento:
Mitotic cells recognition in HEp-2 images. Pattern Recognit. Lett. 45: 136-144 (2014) - [c38]Mario Merone, Leonardo Onofri, Paolo Soda, Claudio Pedone, Raffaele Antonelli Incalzi, Giulio Iannello:
Early Experiences in COPD Exacerbation Detection. CBMS 2014: 406-410 - [c37]Chongsheng Zhang, Roberto D'Ambrosio, Paolo Soda:
Real-Time Biomedical Instance Selection. CBMS 2014: 507-508 - [c36]Chongsheng Zhang, Roberto D'Ambrosio, Paolo Soda:
"Real-time" Instance Selection for Biomedical Data Classification. DaWaK 2014: 394-404 - [c35]Alessandro Bria, Giulio Iannello, Paolo Soda, Hanchuan Peng, Giovanni Erbacci, Giuseppe Fiameni, Giacomo Mariani, Roberto Mucci, Marco Rorro, Francesco Pavone, Ludovico Silvestri, Paolo Frasconi, Roberto Cortini:
A HPC infrastructure for processing and visualizing neuro-anatomical images obtained by Confocal Light Sheet Microscopy. HPCS 2014: 592-599 - 2013
- [j11]Stefano Mazzoleni, Marko Munih, Andras Toth, Justin Cinkelj, Mihaly Jurak, Jo Van Vaerenbergh, Giuseppe Cavallo, Paolo Soda, Paolo Dario, Eugenio Guglielmelli:
Whole-body isometric force/torque measurements for functional assessment in neuro-rehabilitation: User interface and data pre-processing techniques. Comput. Methods Programs Biomed. 110(1): 27-37 (2013) - [j10]Giulio Iannello, Leonardo Onofri, Paolo Soda:
Centromere and cytoplasmic staining pattern recognition: a local approach. Medical Biol. Eng. Comput. 51(12): 1305-1314 (2013) - [j9]Pasquale Foggia, Gennaro Percannella, Paolo Soda, Mario Vento:
Benchmarking HEp-2 Cells Classification Methods. IEEE Trans. Medical Imaging 32(10): 1878-1889 (2013) - [c34]Roberto D'Ambrosio, Giulio Iannello, Paolo Soda:
Solving biomedical classification tasks by softmax reconstruction in ECOC framework. CBMS 2013: 433-436 - [c33]Giulio Iannello, Leonardo Onofri, Paolo Soda:
A Slightly Supervised Approach for Positive/Negative Classification of Fluorescence Intensity in HEp-2 Images. ICIAP (2) 2013: 319-328 - [c32]