Md Mahfuzur Rahman Siddiquee
Advanced Imaging Research (United States)(US)Arizona State University(US)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, COVID-19 diagnosis using AI, Advanced Neural Network Applications, Medical Image Segmentation Techniques, Brain Tumor Detection and Classification
Most-Cited Works
- → UNet++: A Nested U-Net Architecture for Medical Image Segmentation(2018)8,567 cited
- → UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation(2019)3,910 cited
- → Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis(2019)316 cited
- → Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization(2019)98 cited
- → Fetal brain tissue annotation and segmentation challenge results(2023)58 cited
- → HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet(2022)32 cited
- → Headache classification and automatic biomarker extraction from structural MRIs using deep learning(2022)29 cited