Antonio Di Ieva
Nepean Hospital(AU)Macquarie University(AU)
Publications by Year
Research Areas
Glioma Diagnosis and Treatment, Radiomics and Machine Learning in Medical Imaging, Pituitary Gland Disorders and Treatments, Brain Tumor Detection and Classification, AI in cancer detection
Most-Cited Works
- → Dynamics of Forest Fragmentation and Connectivity Using Particle and Fractal Analysis(2019)425 cited
- → Aggressive pituitary adenomas—diagnosis and emerging treatments(2014)317 cited
- → Fractals in the Neurosciences, Part I: General Principles and Basic Neurosciences(2013)202 cited
- → Fractals in the Neurosciences, Part II(2013)175 cited
- → Isocitrate dehydrogenase (IDH) status prediction in histopathology images of gliomas using deep learning(2020)128 cited
- → Current Applications and Future Perspectives of the Use of 3D Printing in Anatomical Training and Neurosurgery(2016)122 cited
- → Strong 5-aminolevulinic acid-induced fluorescence is a novel intraoperative marker for representative tissue samples in stereotactic brain tumor biopsies