Bayes estimation of shape model with application to vertebrae boundaries. - Alessandro Crimi; Anarta Ghosh; Jon Sporring; Mads Nielsen (Image Processing, 2009)

Maximum a Posteriori Estimation of Linear Shape Variation With Application to Vertebra and Cartilage Modeling. - Alessandro Crimi; Martin Lillholm; Mads Nielsen; Anarta Ghosh; Marleen de Bruijne; Erik B. Dam; Jon Sporring (IEEE Trans. Medical Imaging, 2011)

A Bayesian Framework for Automated Cardiovascular Risk Scoring on Standard Lumbar Radiographs. - Kersten Petersen; Melanie Ganz; Peter Mysling; Mads Nielsen; Lene Lillemark; Alessandro Crimi; Sami S. Brandt (IEEE Trans. Medical Imaging, 2012)

Semi-automatic classification of lesion patterns in patients with clinically isolated syndrome. - Alessandro Crimi; Olivier Commowick; Jean-Christophe Ferré; Adil Maarouf; Gilles Edan; Christian Barillot (ISBI, 2013)

Multiple sclerosis lesions evolution in patients with clinically isolated syndrome. - Alessandro Crimi; Olivier Commowick; Jean-Christophe Ferré; Adil Maarouf; Gilles Edan; Christian Barillot (Image Processing, 2013)

Vessel tracking for ultrasound-based venous pressure measurement. - Alessandro Crimi; Maxim Makhinya; Ulrich Baumann; Gábor Székely; Orcun Goksel (ISBI, 2014)

Automatic fetal measurements for low-cost settings by using Local Phase Bone detection. - Benjamin Amoah; Evelyn Arthur Anto; Alessandro Crimi (EMBC, 2015)

Segmentation of ultrasound images of fetal anatomic structures using random forest for low-cost settings. - Evelyn Arthur Anto; Benjamin Amoah; Alessandro Crimi (EMBC, 2015)

Brain Lesions, Introduction. - Alessandro Crimi (Brainles@MICCAI, 2015)

Topological Measures of Connectomics for Low Grades Glioma. - Benjamin Amoah; Alessandro Crimi (BrainLes@MICCAI, 2016)

Effective Brain Connectivity Through a Constrained Autoregressive Model. - Alessandro Crimi; Luca Dodero; Vittorio Murino; Diego Sona (MICCAI (1), 2016)

Automatic Measurement of Venous Pressure Using B-Mode Ultrasound. - Alessandro Crimi; Maxim Makhinya; Ulrich Baumann; Christoph Thalhammer; Gábor Székely; Orcun Goksel (IEEE Trans. Biomed. Eng., 2016)

Case-control discrimination through effective brain connectivity. - Alessandro Crimi; Luca Dodero; Vittorio Murino; Diego Sona (ISBI, 2017)

Connectome of Autistic Brains, Global Versus Local Characterization. - Saida S. Mohamed; Nancy Duong Nguyen; Eiko Yoneki; Alessandro Crimi (CNI@MICCAI, 2017)

Relating connectivity changes in brain networks to genetic information in Alzheimer patients. - Samar S. M. Elsheikh; Emile R. Chimusa; Nicola J. Mulder; Alessandro Crimi (ISBI, 2018)

Multi-stage Association Analysis of Glioblastoma Gene Expressions with Texture and Spatial Patterns. - Samar S. M. Elsheikh; Spyridon Bakas; Nicola J. Mulder; Emile R. Chimusa; Christos Davatzikos; Alessandro Crimi (BrainLes@MICCAI (1), 2018)

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. - Spyridon Bakas; Mauricio Reyes 001; András Jakab; Stefan Bauer; Markus Rempfler; Alessandro Crimi; Russell Takeshi Shinohara; Christoph Berger; Sung Min Ha; Martin Rozycki; Marcel Prastawa; Esther Alberts; et al. (CoRR, 2018)

Spreading Model for Patients with Parkinson's Disease Based on Connectivity Differences. - Alessandro Crimi; E. Kara (ISBI, 2019)

Classification and Generation of Microscopy Images with Plasmodium Falciparum via Artificial Neural Networks Using Low Cost Settings. - Rija Tonny Christian Ramarolahy; Esther Opoku Gyasi; Alessandro Crimi (DART/FAIR@MICCAI, 2021)

Structurally constrained effective brain connectivity. - Alessandro Crimi; Luca Dodero; Fabio Sambataro; Vittorio Murino; Diego Sona (NeuroImage, 2021)

Bayesian Filtered Generation of Post-surgical Brain Connectomes on Tumor Patients. - Joan Falcó-Roget; Alessandro Crimi (ISGIE/GRAIL@MICCAI, 2022)

3D Reconstructions of Brain from MRI Scans Using Neural Radiance Fields. - Khadija Iddrisu; Sylwia Malec; Alessandro Crimi (ICAISC (2), 2023)

Impact of the Pre-processing and Balancing of EEG Data on the Performance of Graph Neural Network for Epileptic Seizure Classification. - Szymon Mazurek; Rosmary Blanco; Joan Falcó-Roget; Jan K. Argasinski; Alessandro Crimi (ICAISC (2), 2023)

Resting State Brain Connectivity Analysis from EEG and FNIRS Signals. - Rosmary Blanco; Cemal Koba; Alessandro Crimi (ICCS (2), 2023)

Style Transfer Between Microscopy and Magnetic Resonance Imaging Via Generative Adversarial Network in Small Sample Size Settings. - Monika Pytlarz; Adrian Onicas; Alessandro Crimi (ICIP, 2023)

Automated glioma multiclass tumor classification. - Monika Pytlarz; K. Wojnicki; P. Pilanc; B. Kaminska; Alessandro Crimi (Digital and Computational Pathology, 2023)

Establishing Trust in ChatGPT BioMedical Generated Text: An Ontology-Based Knowledge Graph to Validate Disease-Symptom Links. - Ahmed Abdeen Hamed; Alessandro Crimi; Magdalena M. Misiak; Byung Suk Lee 001 (CoRR, 2023)

Fact-Checking Generative AI: Ontology-Driven Biological Graphs for Disease-Gene Link Verification. - Ahmed Abdeen Hamed; Alessandro Crimi; Byung Suk Lee 001; Magdalena M. Misiak (ICCS (4), 2024)

Investigation of Energy-Efficient AI Model Architectures and Compression Techniques for "Green" Fetal Brain Segmentation. - Szymon Mazurek; Monika Pytlarz; Sylwia Malec; Alessandro Crimi (ICCS (4), 2024)

Explainable Graph Neural Networks for EEG Classification and Seizure Detection in Epileptic Patients. - Szymon Mazurek; Rosmary Blanco; Joan Falcó-Roget; Alessandro Crimi (ISBI, 2024)

Synergistic eigenanalysis of covariance and Hessian matrices for enhanced binary classification. - Agus Hartoyo; Jan K. Argasinski; Aleksandra Trenk; Kinga Przybylska; Anna Blasiak; Alessandro Crimi (CoRR, 2024)

End-to-end Stroke imaging analysis, using reservoir computing-based effective connectivity, and interpretable Artificial intelligence. - Wojciech Ciezobka; Joan Falcó-Roget; Cemal Koba; Alessandro Crimi (CoRR, 2024)

Investigating the interaction between EEG and fNIRS: A multimodal network analysis of brain connectivity. - Rosmary Blanco; Cemal Koba; Alessandro Crimi (J. Comput. Sci., 2024)

End-to-End Stroke Imaging Analysis Using Effective Connectivity and Interpretable Artificial Intelligence. - Wojciech Ciezobka; Joan Falcó-Roget; Cemal Koba; Alessandro Crimi (IEEE Access, 2025)

Synergistic eigenanalysis of covariance and Hessian matrices for enhanced binary classification on health datasets. - Agus Hartoyo; Jan K. Argasinski; Aleksandra Trenk; Kinga Przybylska; Anna Blasiak; Alessandro Crimi (Comput. Biol. Medicine, 2025)

Graph Attention Networks for Detecting Epilepsy from EEG Signals Using Accessible Hardware in Low-Resource Settings. - Szymon Mazurek; Stephen Moore; Alessandro Crimi (CoRR, 2025)