Mahendra Khened
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Advanced Neural Network Applications, Brain Tumor Detection and Classification, AI in cancer detection, Medical Image Segmentation Techniques
Most-Cited Works
- → Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?(2018)2,134 cited
- → The Liver Tumor Segmentation Benchmark (LiTS)(2022)1,081 cited
- → PAIP 2019: Liver cancer segmentation challenge(2020)111 cited
- → Densely Connected Fully Convolutional Network for Short-Axis Cardiac Cine MR Image Segmentation and Heart Diagnosis Using Random Forest(2018)108 cited
- → Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches(2020)96 cited
- → 2D-Densely Connected Convolution Neural Networks for automatic Liver and Tumor Segmentation(2018)68 cited
- → NTIRE 2019 Challenge on Image Enhancement: Methods and Results(2019)45 cited
- → Medical image retrieval using Resnet-18 for clinical diagnosis(2019)29 cited
- → Ensemble of Fully Convolutional Neural Network for Brain Tumor Segmentation from Magnetic Resonance Images(2019)20 cited