Enhanced unsupervised segmentation of multispectral Magnetic Resonance images. - Lia Morra; Silvia Delsanto; Leonardo Reyneri (ESANN, 2004)

Computer aided detection of polyps in virtual colonoscopy with sameday faecal tagging. - Silvia Delsanto; Lia Morra; Silvano Agliozzo; Riccardo Baggio; Delia Campanella; Vincenzo Tartaglia; Francesca Cerri; Franco Iafrate; Emanuele Neri; Andrea Laghi; Daniele Regge (Computer-Aided Diagnosis, 2008)

Characteristics of false positive findings in CT colonography CAD: a comparison of two fecal tagging regimens. - Lia Morra; Silvia Delsanto; Silvano Agliozzo; Riccardo Baggio; Erika Belluccio; Loredana Correale; Dario Genova; Alberto Bert; Daniele Regge (Computer-Aided Diagnosis, 2009)

Adaptive remapping procedure for electronic cleansing of fecal tagging CT colonography images. - Lia Morra; Silvia Delsanto; Delia Campanella; Daniele Regge; Alberto Bert (Computer-Aided Diagnosis, 2009)

A fully automatic lesion detection method for DCE-MRI fat-suppressed breast images. - Anna Vignati; Valentina Giannini; Alberto Bert; Massimo De Luca; Lia Morra; Diego Persano; Laura Martincich; Daniele Regge (Computer-Aided Diagnosis, 2009)

Data mining for better healthcare: A path towards automated data analysis? - Tania Cerquitelli; Elena Baralis; Lia Morra; Silvia Chiusano (ICDE Workshops, 2016)

Mammographic density: Comparison of visual assessment with fully automatic calculation on a multivendor dataset. - Daniela Sacchetto; Lia Morra; Silvano Agliozzo; Daniela Bernardi; Tomas Björklund; Beniamino Brancato; Patrizia Bravetti; Luca A. Carbonaro; Loredana Correale; Carmen Fantò; Elisabetta Favettini; Laura Martincich; et al. (CoRR, 2018)

Optimization of computer aided detection systems: An evolutionary approach. - Lia Morra; Nunzia Coccia; Tania Cerquitelli (Expert Syst. Appl., 2018)

Automatic detection of canonical image orientation by convolutional neural networks. - Lia Morra; Sina Famouri; Huseyin Cagri Karakus; Fabrizio Lamberti (ISCT, 2019)

Immersive Virtual Reality-Based Interfaces for Character Animation. - Alberto Cannavò; Claudio Demartini; Lia Morra; Fabrizio Lamberti (IEEE Access, 2019)

Benchmarking unsupervised near-duplicate image detection. - Lia Morra; Fabrizio Lamberti (Expert Syst. Appl., 2019)

Building Trust in Autonomous Vehicles: Role of Virtual Reality Driving Simulators in HMI Design. - Lia Morra; Fabrizio Lamberti; Filippo Gabriele Pratticò; Salvatore La Rosa; Paolo Montuschi (IEEE Trans. Veh. Technol., 2019)

A Deep Learning Approach for Efficient Registration of Dual View Mammography. - Sina Famouri; Lia Morra; Fabrizio Lamberti (ANNPR, 2020)

iNNvestigate-GUI - Explaining Neural Networks Through an Interactive Visualization Tool. - Fabio Garcea; Sina Famouri; Davide Valentino; Lia Morra; Fabrizio Lamberti (ANNPR, 2020)

Object Tracking Through Residual and Dense LSTMs. - Fabio Garcea; Alessandro Cucco; Lia Morra; Fabrizio Lamberti (ICIAR (2), 2020)

Slicing and Dicing Soccer: Automatic Detection of Complex Events from Spatio-Temporal Data. - Lia Morra; Francesco Manigrasso; Giuseppe Canto; Claudio Gianfrate; Enrico Guarino; Fabrizio Lamberti (ICIAR (1), 2020)

Bridging the gap between Natural and Medical Images through Deep Colorization. - Lia Morra; Luca Piano; Fabrizio Lamberti; Tatiana Tommasi (ICPR, 2020)

Artificial Intelligence in Consumer Electronics. - Lia Morra; Saraju P. Mohanty; Fabrizio Lamberti (IEEE Consumer Electron. Mag., 2020)

An automatic computer vision pipeline for the in-line monitoring of freeze-drying processes. - Domenico Colucci; Lia Morra; Xiaoyang Zhang; Davide Fissore; Fabrizio Lamberti (Comput. Ind., 2020)

SoccER: Computer graphics meets sports analytics for soccer event recognition. - Lia Morra; Francesco Manigrasso; Fabrizio Lamberti (SoftwareX, 2020)

On the Use of Causal Models to Build Better Datasets. - Fabio Garcea; Lia Morra; Fabrizio Lamberti (COMPSAC, 2021)

Faster-LTN: A Neuro-Symbolic, End-to-End Object Detection Architecture. - Francesco Manigrasso; Filomeno Davide Miro; Lia Morra; Fabrizio Lamberti (ICANN (2), 2021)

Breast Mass Detection With Faster R-CNN: On the Feasibility of Learning From Noisy Annotations. - Sina Famouri; Lia Morra; Leonardo Mangia; Fabrizio Lamberti (IEEE Access, 2021)

Stress Detection in Computer Users From Keyboard and Mouse Dynamics. - Lucia Pepa; Antonio Sabatelli; Lucio Ciabattoni; Andrea Monteriù; Fabrizio Lamberti; Lia Morra (IEEE Trans. Consumer Electron., 2021)

Guest Editorial: Special Section on New Frontiers in Computing for Next-Generation Healthcare Systems. - Lia Morra; Valentina Gatteschi; Saraju P. Mohanty; Yuan-Hao Chang 001 (IEEE Trans. Emerg. Top. Comput., 2021)

Comparing State-of-the-Art and Emerging Augmented Reality Interfaces for Autonomous Vehicle-to-Pedestrian Communication. - Filippo Gabriele Pratticò; Fabrizio Lamberti; Alberto Cannavò; Lia Morra; Paolo Montuschi (IEEE Trans. Veh. Technol., 2021)

DatAndroid. - Francesco Manigrasso; Lia Morra; Luca Ardito; Riccardo Coppola; Fabrizio Lamberti; Marco Torchiano; Andrea Bottino (Zenodo, 2021)

PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning. - Simone Martone; Francesco Manigrasso; Fabrizio Lamberti; Lia Morra (ICPR, 2022)

Detecting Drift in Deep Learning: A Methodology Primer. - Luca Piano; Fabio Garcea; Valentina Gatteschi; Fabrizio Lamberti; Lia Morra (IT Prof., 2022)

Feature Matching-based Approaches to Improve the Robustness of Android Visual GUI Testing. - Luca Ardito; Andrea Bottino; Riccardo Coppola; Fabrizio Lamberti; Francesco Manigrasso; Lia Morra; Marco Torchiano (ACM Trans. Softw. Eng. Methodol., 2022)

Comparing Algorithms for Aggressive Driving Event Detection Based on Vehicle Motion Data. - Valentina Gatteschi; Alberto Cannavò; Fabrizio Lamberti; Lia Morra; Paolo Montuschi (IEEE Trans. Veh. Technol., 2022)

Toward a Realistic Benchmark for Out-of-Distribution Detection. - Pietro Recalcati; Fabio Garcea; Luca Piano; Fabrizio Lamberti; Lia Morra (DSAA, 2023)

Fuzzy Logic Visual Network (FLVN): A Neuro-Symbolic Approach for Visual Features Matching. - Francesco Manigrasso; Lia Morra; Fabrizio Lamberti (ICIAP (2), 2023)

L-TReiD: Logic Tensor Transformer for Re-identification. - Alessandro Sebastian Russo; Francesco Manigrasso; Fabrizio Lamberti; Lia Morra (ISVC (2), 2023)

Designing Logic Tensor Networks for Visual Sudoku Puzzle Classification. - Lia Morra; Alberto Azzari; Letizia Bergamasco; Marco Braga; Luigi Capogrosso; Federico Delrio; Giuseppe Di Giacomo; Simone Eiraudo; Giorgia Ghione; Rocco Giudice; Alkis Koudounas; Luca Piano; et al. (NeSy, 2023)

Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification. - Luca Piano; Filippo Gabriele Pratticò; Alessandro Sebastian Russo; Lorenzo Lanari; Lia Morra; Fabrizio Lamberti (WACV, 2023)

HOLMES: HOLonym-MEronym Based Semantic Inspection for Convolutional Image Classifiers. - Francesco Dibitonto; Fabio Garcea; André Panisson; Alan Perotti; Lia Morra (xAI (2), 2023)

Data augmentation for medical imaging: A systematic literature review. - Fabio Garcea; Alessio Serra; Fabrizio Lamberti; Lia Morra (Comput. Biol. Medicine, 2023)

Using Temporal Convolutional Networks to estimate ball possession in soccer games. - Matteo Borghesi; Lorenzo Dusty Costa; Lia Morra; Fabrizio Lamberti (Expert Syst. Appl., 2023)

MIXO: Mixture Of Experts-Based Visual Odometry for Multicamera Autonomous Systems. - Lia Morra; Andrea Biondo; Nicola Poerio; Fabrizio Lamberti (IEEE Trans. Consumer Electron., 2023)

Deep learning-based algorithm for postoperative glioblastoma MRI segmentation: a promising new tool for tumor burden assessment. - Andrea Bianconi; Luca Francesco Rossi; Marta Bonada; Pietro Zeppa; Elsa Nico; Raffaele De Marco; Paola Lacroce; Fabio Cofano; Francesco Bruno; Giovanni Morana; Antonio Melcarne; Roberta Ruda; et al. (Brain Informatics, 2023)

On the Fault Tolerance of Self-Supervised Training in Convolutional Neural Networks. - Rosario Milazzo; Vincenzo De Marco; Corrado De Sio; Sophie M. Fosson; Lia Morra; Luca Sterpone (DDECS, 2024)

Harnessing Foundation Models for Image Anonymization. - Luca Piano; Pietro Basci; Fabrizio Lamberti; Lia Morra (GEM, 2024)

ESRA: a Neuro-Symbolic Relation Transformer for Autonomous Driving. - Alessandro Sebastian Russo; Lia Morra; Fabrizio Lamberti; Paolo Emmanuel Ilario Dimasi (IJCNN, 2024)

Probing LLMs for Logical Reasoning. - Francesco Manigrasso; Stefan F. Schouten; Lia Morra; Peter Bloem (NeSy (1), 2024)

Enhancing Neuro-Symbolic Integration with Focal Loss: A Study on Logic Tensor Networks. - Luca Piano; Francesco Manigrasso; Alessandro Sebastian Russo; Lia Morra (NeSy (2), 2024)

Latent Diffusion Models for Attribute-Preserving Image Anonymization. - Luca Piano; Pietro Basci; Fabrizio Lamberti; Lia Morra (CoRR, 2024)

For a semiotic AI: Bridging computer vision and visual semiotics for computational observation of large scale facial image archives. - Lia Morra; Antonio Santangelo; Pietro Basci; Luca Piano; Fabio Garcea; Fabrizio Lamberti; Massimo Leone (Comput. Vis. Image Underst., 2024)

Drift Detection for Black-Box Deep Learning Models. - Luca Piano; Fabio Garcea; Andrea Cavallone; Ignacio Aparicio Vazquez; Lia Morra; Fabrizio Lamberti (IT Prof., 2024)

Self-Supervised Pretraining and Quantization for Fault Tolerant Neural Networks: Friend or Foe? - Rosario Milazzo; Sophie M. Fosson; Lia Morra; Luca Sterpone (IEEE Access, 2025)

Mammography classification with multi-view deep learning techniques: Investigating graph and transformer-based architectures. - Francesco Manigrasso; Rosario Milazzo; Alessandro Sebastian Russo; Fabrizio Lamberti; Fredrik Strand; Andrea Pagnani; Lia Morra (Medical Image Anal., 2025)

$ gamma$-Razor: Hardness-Aware Dataset Pruning for Efficient Neural Network Training. - Lei Liu 073; Peng Zhang; Yunji Liang; Junrui Liu; Lia Morra; Bin Guo 001; Zhiwen Yu 001; Yanyong Zhang; Daniel Dajun Zeng (IEEE Trans. Comput. Soc. Syst., 2025)

Boosting zero-shot learning through neuro-symbolic integration. - Francesco Manigrasso; Fabrizio Lamberti; Lia Morra (Pattern Recognit., 2026)