Antonio Di Ieva

Nepean Hospital — Australia

Medicine · Health Sciences

41h-index5.4kcitations279works2.82yr avg
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Research Topics

Glioma Diagnosis and Treatment(52), Radiomics and Machine Learning in Medical Imaging(50), Pituitary Gland Disorders and Treatments(30), Brain Tumor Detection and Classification(25), AI in cancer detection(24)

Publications278 total

Risk Models for Adverse Events in Microsurgery for Intracranial Unruptured Aneurysms
Neurosurgery·2025Open Access
Contemporary adverse event profile of microsurgery for intracranial unruptured aneurysms in high-volume microsurgical centers: the international PRAEMIUM study
Neurosurgical FOCUS·2025Open Access
Meta transfer learning for brain tumor segmentation using nnUNet in meningioma and metastasis cases
Scientific Reports·2025· 1 citedOpen Access
FMM-Diff: A Feature Mapping and Merging Diffusion Model for MRI Generation with Missing Modality
Lecture notes in computer science·2025
FoundBioNet: A Foundation-Based Model for IDH Genotyping of Glioma from Multi-parametric MRI
Lecture notes in computer science·2025· 1 citedOpen Access
Segment-Any-Muscle: Towards an Open-Source, Contrast-Agnostic Computer-Vision Muscle Segmentation Model for MRI and CT
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2025
Diagnostic performance of deep learning for predicting glioma isocitrate dehydrogenase and 1p/19q co-deletion in MRI: a systematic review and meta-analysis
European Radiology·2025· 2 citedOpen Access
Flexible and Scalable Federated Learning with Deep Feature Prompts for Digital Pathology
2025Open Access
Eye-Guided Multimodal Fusion: Toward an Adaptive Learning Framework Using Explainable Artificial Intelligence
Sensors·2025· 1 citedOpen Access
Source-free Few-shot Segmentation for Rarer Brain Tumors
2025Open Access
Development of an Open‐Source Algorithm for Automated Segmentation in Clinician‐Led Paranasal Sinus Radiologic Research
The Laryngoscope·2025Open Access
Developing a ground truth for a convolutional neural network-based segmentation of anatomical structures in endoscopic ear surgery videos
Auris Nasus Larynx·2025
Multi-Sequence MRI to Multi-Tracer Pet Generation via Diffusion Model
2025· 1 cited
Diagnostic Accuracy of Deep Learning Models in Predicting Glioma Molecular Markers: A Systematic Review and Meta-Analysis
Diagnostics·2025· 4 citedOpen Access
1329 Synthetic [18F]FET-PET Generation and Hotspot Prediction Via Preoperative MRI of Glioma Lacking Radiographic High-Grade Characteristics
Neurosurgery·2025
1153 Predicting Intraoperative 5-ALA-induced Tumor Fluorescence via MRI and Deep Learning in Gliomas with Radiographic Lower-Grade Characteristics
Neurosurgery·2025
Identification of astrocytomas through serum protein fingerprint using MALDI-TOF MS and machine learning
2025Open Access
Radiomic Fingerprinting of the Peritumoral Edema in Brain Tumors
Cancers·2025· 6 citedOpen Access
Artificial intelligence for brain neuroanatomical segmentation in magnetic resonance imaging: A literature review
Journal of Clinical Neuroscience·2025· 6 citedOpen Access
Explainable Multicenter Radiomics Framework for Glioma Subtyping and Grading with a Balanced Training Approach
SSRN Electronic Journal·2025Open Access
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Frequent Co-authors

Michael D. Cusimano(14), Fabio Grizzi(13), Manfred Tschabitscher(13), Fabio Rotondo(8), Sidong Liu(8), Carlo Russo(7), Luis V. Syro(6), Kálmán Kovács(6), Christian Matula(5), Aydın Sav(4), Paolo Gaetani(4), Riccardo Rodriguez y Baena(4), Shlomo Berkovsky(3), Yi Qian(3), Camillo Sherif(3), Emiliano Bruner(3), Herbert F. Jelinek(2), Georg Widhalm(2), Georgi Minchev(2), Laya Jose(2)