Antonio Di Ieva

36 papers B 1C 1Misc 1Journal 16Unranked 17
YearRankTypeTitle / Venue / Authors
2025 — conf
Adaptive Clustering for EGFR Amplification Prediction in Glioblastoma: A Variational Autoencoder-Dirichlet Bayesian Gaussian Approach.
AIME (1)
Homay Danaei Mehr, Cong Cong, Imran Noorani, Antonio Di Ieva, Sidong Liu
2025 — conf
FMM-Diff: A Feature Mapping and Merging Diffusion Model for MRI Generation with Missing Modality.
MICCAI (16)
Wenjin Zhong, Cong Cong, Zihan Wang, Zeya Yan, Antonio Di Ieva, Sidong Liu
2025 J jnl
FoundBioNet: A Foundation-Based Model for IDH Genotyping of Glioma from Multi-Parametric MRI.
CoRR
Somayeh Farahani, Marjaneh Hejazi, Antonio Di Ieva, Sidong Liu
2025 — conf
FoundBioNet: A Foundation-Based Model for IDH Genotyping of Glioma from Multi-parametric MRI.
MICCAI (7)
Somayeh Farahani, Marjaneh Hejazi, Antonio Di Ieva, Sidong Liu
2025 — conf
Multi-Sequence MRI to Multi-Tracer Pet Generation via Diffusion Model.
ISBI
Wenjin Zhong, Cong Cong, Ghasem Azemi, Mehnaz Tabassum, Antonio Di Ieva, Sidong Liu
2025 B conf
Source-free Few-shot Segmentation for Rarer Brain Tumors.
IJCNN
Shenghui Yan, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Yang Song
2025 J jnl
Towards a Multimodal MRI-Based Foundation Model for Multi-Level Feature Exploration in Segmentation, Molecular Subtyping, and Grading of Glioma.
CoRR
Somayeh Farahani, Marjaneh Hejazi, Antonio Di Ieva, Emad Fatemizadeh, Sidong Liu
2024 — conf
AI in Neuro-Oncology: Predicting EGFR Amplification in Glioblastoma from Whole Slide Images Using Weakly Supervised Deep Learning.
AIME (2)
Homay Danaei Mehr, Imran Noorani, Priyanka Rana, Antonio Di Ieva, Sidong Liu
2024 J jnl
Adaptive unified contrastive learning with graph-based feature aggregator for imbalanced medical image classification.
Expert Syst. Appl.
Cong Cong, Sidong Liu, Priyanka Rana, Maurice Pagnucco, Antonio Di Ieva, Shlomo Berkovsky, Yang Song
2024 — conf
Cross-Modality Synthesis of T1c MRI from Non-contrast Images Using GANs: Implications for Brain Tumor Research.
AIME (2)
Mehnaz Tabassum, Priyanka Rana, Eric Suero Molina, Antonio Di Ieva, Sidong Liu
2024 J jnl
Deep Learning-Based Correction and Unmixing of Hyperspectral Images for Brain Tumor Surgery.
CoRR
David G. Black, Jaidev Gill, Andrew Xie, Benoit Liquet, Antonio Di Ieva, Walter Stummer, Eric Suero Molina
2024 J jnl
Diagnostic Performance of Deep Learning for Predicting Gliomas' IDH and 1p/19q Status in MRI: A Systematic Review and Meta-Analysis.
CoRR
Somayeh Farahani, Marjaneh Hejazi, Mehnaz Tabassum, Antonio Di Ieva, Neda Mahdavifar, Sidong Liu
2024 — conf
Meta-Transfer Learning for Few-Shot Meningioma Segmentation.
ISBI
Shenghui Yan, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Yang Song
2024 J jnl
When Eye-Tracking Meets Machine Learning: A Systematic Review on Applications in Medical Image Analysis.
CoRR
Sahar Moradizeyveh, Mehnaz Tabassum, Sidong Liu, Robert Ahadizad Newport, Amin Beheshti, Antonio Di Ieva
2023 — conf
A Deep Learning Framework for Skull Stripping in Brain MRI.
EMBC
Mehnaz Tabassum, Abdulla Al Suman, Carlo Russo, Antonio Di Ieva, Sidong Liu
2023 — conf
Domain-Specific Pre-training Improves Confidence in Whole Slide Image Classification.
EMBC
Soham Rohit Chitnis, Sidong Liu, Tirtharaj Dash, Tanmay Tulsidas Verlekar, Antonio Di Ieva, Shlomo Berkovsky, Lovekesh Vig, Ashwin Srinivasan
2023 J jnl
Domain-Specific Pretraining Improves Confidence in Whole Slide Image Classification.
CoRR
Soham Rohit Chitnis, Sidong Liu, Tirtharaj Dash, Tanmay Tulsidas Verlekar, Antonio Di Ieva, Shlomo Berkovsky, Lovekesh Vig, Ashwin Srinivasan
2023 J jnl
TPMIL: Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification.
CoRR
Litao Yang, Deval Mehta, Sidong Liu, Dwarikanath Mahapatra, Antonio Di Ieva, Zongyuan Ge
2023 J jnl
Towards Machine Learning-based Quantitative Hyperspectral Image Guidance for Brain Tumor Resection.
CoRR
David G. Black, Declan Byrne, Anna Walke, Sidong Liu, Antonio Di Ieva, Sadahiro Kaneko, Walter Stummer, Septimiu E. Salcudean, Eric Suero Molina
2023 — conf
Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification.
MIDL
Litao Yang, Deval Mehta, Sidong Liu, Dwarikanath Mahapatra, Antonio Di Ieva, Zongyuan Ge
2022 — conf
Adaptive Unified Contrastive Learning for Imbalanced Classification.
MLMI@MICCAI
Cong Cong, Yixing Yang, Sidong Liu, Maurice Pagnucco, Antonio Di Ieva, Shlomo Berkovsky, Yang Song
2022 J jnl
Colour adaptive generative networks for stain normalisation of histopathology images.
Medical Image Anal.
Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song
2022 — conf
Integrating eye gaze into machine learning using fractal curves.
Gaze Meets ML
Robert Ahadizad Newport, Sidong Liu, Antonio Di Ieva
2022 J jnl
SoftMatch: Comparing Scanpaths Using Combinatorial Spatio-Temporal Sequences with Fractal Curves.
Sensors
Robert Ahadizad Newport, Carlo Russo, Sidong Liu, Abdulla Al Suman, Antonio Di Ieva
2022 J jnl
Spherical coordinates transformation pre-processing in Deep Convolution Neural Networks for brain tumor segmentation in MRI.
Medical Biol. Eng. Comput.
Carlo Russo, Sidong Liu, Antonio Di Ieva
2021 — conf
Semi-supervised Adversarial Learning for Stain Normalisation in Histopathology Images.
MICCAI (8)
Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song
2021 — conf
Texture Enhanced Generative Adversarial Network For Stain Normalisation In Histopathology Images.
ISBI
Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song
2021 Misc conf
Two-stage U-Net++ for Medical Image Segmentation.
DICTA
Abdulla Al Suman, Shubham Sarda, Md. Asikuzzaman, Alexandra Louise Webb, Diana M. Perriman, Murat Tahtali, Antonio Di Ieva, Mark R. Pickering
2020 J jnl
Deep learning for automated cerebral aneurysm detection on computed tomography images.
Int. J. Comput. Assist. Radiol. Surg.
Xilei Dai, Lixiang Huang, Yi Qian, Shuang Xia, Winston Chong, Junjie Liu, Antonio Di Ieva, Xiaoxi Hou, Chubin Ou
2020 — conf
Impact of Spherical Coordinates Transformation Pre-processing in Deep Convolution Neural Networks for Brain Tumor Segmentation and Survival Prediction.
BrainLes@MICCAI (1)
Carlo Russo, Sidong Liu, Antonio Di Ieva
2020 J jnl
Impact of Spherical Coordinates Transformation Pre-processing in Deep Convolution Neural Networks for Brain Tumor Segmentation and Survival Prediction.
CoRR
Carlo Russo, Sidong Liu, Antonio Di Ieva
2020 J jnl
Spherical coordinates transformation pre-processing in Deep Convolution Neural Networks for brain tumor segmentation in MRI.
CoRR
Carlo Russo, Sidong Liu, Antonio Di Ieva
2017 — conf
Box-Counting Method in Quantitative Analysis of Images of the Brain.
CSCS
Nebojsa T. Milosevic, Antonio Di Ieva, Herbert F. Jelinek, Nemanja Rajkovic
2014 C conf
Detrended fluctuation analysis of brain hemisphere magnetic resonnance images to detect cerebral arteriovenous malformations.
ISCAS
Salim Lahmiri, Mounir Boukadoum, Antonio Di Ieva
2014 — conf
Fractal-based arteriovenous malformations detection in brain magnetic resonance images.
NEWCAS
Salim Lahmiri, Mounir Boukadoum, Antonio Di Ieva
2011 J jnl
The veins of the nucleus dentatus: Anatomical and radiological findings.
NeuroImage
Antonio Di Ieva, Manfred Tschabitscher, Renato Juan Galzio, Günther Grabner, Claudia Kronnerwetter, Georg Widhalm, Christian Matula, Siegfried Trattnig