Antonio Di Ieva

According to our database, Antonio Di Ieva authored at least 22 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

When Eye-Tracking Meets Machine Learning: A Systematic Review on Applications in Medical Image Analysis.

Sahar Moradizeyveh, Mehnaz Tabassum, Sidong Liu, Robert Ahadizad Newport, Amin Beheshti, Antonio Di Ieva

CoRR, 2024

Deep Learning-Based Correction and Unmixing of Hyperspectral Images for Brain Tumor Surgery.

David G. Black, Jaidev Gill, Andrew Xie, Benoit Liquet, Antonio Di Ieva, Walter Stummer, Eric Suero Molina

CoRR, 2024

2023

Towards Machine Learning-based Quantitative Hyperspectral Image Guidance for Brain Tumor Resection.

David G. Black, Declan Byrne, Anna Walke, Sidong Liu, Antonio Di Ieva, Sadahiro Kaneko, Walter Stummer, Septimiu Salcudean, Eric Suero Molina

CoRR, 2023

TPMIL: Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification.

Litao Yang, Deval Mehta, Sidong Liu, Dwarikanath Mahapatra, Antonio Di Ieva, Zongyuan Ge

CoRR, 2023

Domain-Specific Pretraining Improves Confidence in Whole Slide Image Classification.

Soham Rohit Chitnis, Sidong Liu, Tirtharaj Dash, Tanmay Tulsidas Verlekar, Antonio Di Ieva, Shlomo Berkovsky, Lovekesh Vig, Ashwin Srinivasan

CoRR, 2023

Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification.

Litao Yang, Deval Mehta, Sidong Liu, Dwarikanath Mahapatra, Antonio Di Ieva, Zongyuan Ge

Proceedings of the Medical Imaging with Deep Learning, 2023

A Deep Learning Framework for Skull Stripping in Brain MRI.

Mehnaz Tabassum, Abdulla Al Suman, Carlo Russo, Antonio Di Ieva, Sidong Liu

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Domain-Specific Pre-training Improves Confidence in Whole Slide Image Classification.

Soham Rohit Chitnis, Sidong Liu, Tirtharaj Dash, Tanmay Tulsidas Verlekar, Antonio Di Ieva, Shlomo Berkovsky, Lovekesh Vig, Ashwin Srinivasan

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

SoftMatch: Comparing Scanpaths Using Combinatorial Spatio-Temporal Sequences with Fractal Curves.

Robert Ahadizad Newport, Carlo Russo, Sidong Liu, Abdulla Al Suman, Antonio Di Ieva

Sensors, 2022

Colour adaptive generative networks for stain normalisation of histopathology images.

Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song

Medical Image Anal., 2022

Spherical coordinates transformation pre-processing in Deep Convolution Neural Networks for brain tumor segmentation in MRI.

Carlo Russo, Sidong Liu, Antonio Di Ieva

Medical Biol. Eng. Comput., 2022

Adaptive Unified Contrastive Learning for Imbalanced Classification.

Cong Cong, Yixing Yang, Sidong Liu, Maurice Pagnucco, Antonio Di Ieva, Shlomo Berkovsky, Yang Song

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Integrating eye gaze into machine learning using fractal curves.

Robert Ahadizad Newport, Sidong Liu, Antonio Di Ieva

Proceedings of The 1st Gaze Meets ML workshop, 2022

2021

Semi-supervised Adversarial Learning for Stain Normalisation in Histopathology Images.

Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Texture Enhanced Generative Adversarial Network For Stain Normalisation In Histopathology Images.

Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Two-stage U-Net++ for Medical Image Segmentation.

Abdulla Al Suman, Shubham Sarda, Md. Asikuzzaman, Alexandra Louise Webb, Diana M. Perriman, Murat Tahtali, Antonio Di Ieva, Mark R. Pickering

Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

2020

Deep learning for automated cerebral aneurysm detection on computed tomography images.

Xilei Dai, Lixiang Huang, Yi Qian, Shuang Xia, Winston Chong, Junjie Liu, Antonio Di Ieva, Xiaoxi Hou, Chubin Ou

Int. J. Comput. Assist. Radiol. Surg., 2020

Impact of Spherical Coordinates Transformation Pre-processing in Deep Convolution Neural Networks for Brain Tumor Segmentation and Survival Prediction.

Carlo Russo, Sidong Liu, Antonio Di Ieva

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2017

Box-Counting Method in Quantitative Analysis of Images of the Brain.

Nebojsa T. Milosevic, Antonio Di Ieva, Herbert F. Jelinek, Nemanja Rajkovic

Proceedings of the 21st International Conference on Control Systems and Computer Science, 2017

2014

Fractal-based arteriovenous malformations detection in brain magnetic resonance images.

Salim Lahmiri, Mounir Boukadoum, Antonio Di Ieva

Proceedings of the IEEE 12th International New Circuits and Systems Conference, 2014

Detrended fluctuation analysis of brain hemisphere magnetic resonnance images to detect cerebral arteriovenous malformations.

Salim Lahmiri, Mounir Boukadoum, Antonio Di Ieva

Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

2011

The veins of the nucleus dentatus: Anatomical and radiological findings.

Antonio Di Ieva, Manfred Tschabitscher, Renato Juan Galzio, Günther Grabner, Claudia Kronnerwetter, Georg Widhalm, Christian Matula, Siegfried Trattnig

NeuroImage, 2011