Antonio Di Ieva

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 24

Top Topics

Image Classification

Histopathology Images

Brain Tumor Segmentation

Top Venues

Publications

Mehnaz Tabassum, Priyanka Rana, Eric Suero Molina, Antonio Di Ieva, Sidong Liu
Cross-Modality Synthesis of T1c MRI from Non-contrast Images Using GANs: Implications for Brain Tumor Research. AIME (2) (2024)
Homay Danaei Mehr, Imran Noorani, Priyanka Rana, Antonio Di Ieva, Sidong Liu
AI in Neuro-Oncology: Predicting EGFR Amplification in Glioblastoma from Whole Slide Images Using Weakly Supervised Deep Learning. AIME (2) (2024)
Sahar Moradizeyveh, Mehnaz Tabassum, Sidong Liu, Robert Ahadizad Newport, Amin Beheshti, Antonio Di Ieva
When Eye-Tracking Meets Machine Learning: A Systematic Review on Applications in Medical Image Analysis. CoRR (2024)
David G. Black, Jaidev Gill, Andrew Xie, Benoit Liquet, Antonio Di Ieva, Walter Stummer, Eric Suero Molina
Deep Learning-Based Correction and Unmixing of Hyperspectral Images for Brain Tumor Surgery. CoRR (2024)
Cong Cong, Sidong Liu, Priyanka Rana, Maurice Pagnucco, Antonio Di Ieva, Shlomo Berkovsky, Yang Song
Adaptive unified contrastive learning with graph-based feature aggregator for imbalanced medical image classification. Expert Syst. Appl. 251 (2024)
Mehnaz Tabassum, Abdulla Al Suman, Carlo Russo, Antonio Di Ieva, Sidong Liu
A Deep Learning Framework for Skull Stripping in Brain MRI. EMBC (2023)
Soham Rohit Chitnis, Sidong Liu, Tirtharaj Dash, Tanmay Tulsidas Verlekar, Antonio Di Ieva, Shlomo Berkovsky, Lovekesh Vig, Ashwin Srinivasan
Domain-Specific Pre-training Improves Confidence in Whole Slide Image Classification. EMBC (2023)
David G. Black, Declan Byrne, Anna Walke, Sidong Liu, Antonio Di Ieva, Sadahiro Kaneko, Walter Stummer, Septimiu Salcudean, Eric Suero Molina
Towards Machine Learning-based Quantitative Hyperspectral Image Guidance for Brain Tumor Resection. CoRR (2023)
Litao Yang, Deval Mehta, Sidong Liu, Dwarikanath Mahapatra, Antonio Di Ieva, Zongyuan Ge
Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification. MIDL (2023)
Litao Yang, Deval Mehta, Sidong Liu, Dwarikanath Mahapatra, Antonio Di Ieva, Zongyuan Ge
TPMIL: Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification. CoRR (2023)
Soham Rohit Chitnis, Sidong Liu, Tirtharaj Dash, Tanmay Tulsidas Verlekar, Antonio Di Ieva, Shlomo Berkovsky, Lovekesh Vig, Ashwin Srinivasan
Domain-Specific Pretraining Improves Confidence in Whole Slide Image Classification. CoRR (2023)
Robert Ahadizad Newport, Carlo Russo, Sidong Liu, Abdulla Al Suman, Antonio Di Ieva
SoftMatch: Comparing Scanpaths Using Combinatorial Spatio-Temporal Sequences with Fractal Curves. Sensors 22 (19) (2022)
Carlo Russo, Sidong Liu, Antonio Di Ieva
Spherical coordinates transformation pre-processing in Deep Convolution Neural Networks for brain tumor segmentation in MRI. Medical Biol. Eng. Comput. 60 (1) (2022)
Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song
Colour adaptive generative networks for stain normalisation of histopathology images. Medical Image Anal. 82 (2022)
Cong Cong, Yixing Yang, Sidong Liu, Maurice Pagnucco, Antonio Di Ieva, Shlomo Berkovsky, Yang Song
Adaptive Unified Contrastive Learning for Imbalanced Classification. MLMI@MICCAI (2022)
Robert Ahadizad Newport, Sidong Liu, Antonio Di Ieva
Integrating eye gaze into machine learning using fractal curves. Gaze Meets ML (2022)
Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song
Texture Enhanced Generative Adversarial Network For Stain Normalisation In Histopathology Images. ISBI (2021)
Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song
Semi-supervised Adversarial Learning for Stain Normalisation in Histopathology Images. MICCAI (8) (2021)
Abdulla Al Suman, Shubham Sarda, Md. Asikuzzaman, Alexandra Louise Webb, Diana M. Perriman, Murat Tahtali, Antonio Di Ieva, Mark R. Pickering
Two-stage U-Net++ for Medical Image Segmentation. DICTA (2021)
Carlo Russo, Sidong Liu, Antonio Di Ieva
Impact of Spherical Coordinates Transformation Pre-processing in Deep Convolution Neural Networks for Brain Tumor Segmentation and Survival Prediction. BrainLes@MICCAI (1) (2020)
Xilei Dai, Lixiang Huang, Yi Qian, Shuang Xia, Winston Chong, Junjie Liu, Antonio Di Ieva, Xiaoxi Hou, Chubin Ou
Deep learning for automated cerebral aneurysm detection on computed tomography images. Int. J. Comput. Assist. Radiol. Surg. 15 (4) (2020)
Carlo Russo, Sidong Liu, Antonio Di Ieva
Spherical coordinates transformation pre-processing in Deep Convolution Neural Networks for brain tumor segmentation in MRI. CoRR (2020)
Carlo Russo, Sidong Liu, Antonio Di Ieva
Impact of Spherical Coordinates Transformation Pre-processing in Deep Convolution Neural Networks for Brain Tumor Segmentation and Survival Prediction. CoRR (2020)
Nebojsa T. Milosevic, Antonio Di Ieva, Herbert F. Jelinek, Nemanja Rajkovic
Box-Counting Method in Quantitative Analysis of Images of the Brain. CSCS (2017)
Salim Lahmiri, Mounir Boukadoum, Antonio Di Ieva
Fractal-based arteriovenous malformations detection in brain magnetic resonance images. NEWCAS (2014)
Salim Lahmiri, Mounir Boukadoum, Antonio Di Ieva
Detrended fluctuation analysis of brain hemisphere magnetic resonnance images to detect cerebral arteriovenous malformations. ISCAS (2014)
Antonio Di Ieva, Manfred Tschabitscher, Renato Juan Galzio, Günther Grabner, Claudia Kronnerwetter, Georg Widhalm, Christian Matula, Siegfried Trattnig
The veins of the nucleus dentatus: Anatomical and radiological findings. NeuroImage 54 (1) (2011)