Seyed‐Ahmad Ahmadi

1. Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks
   2017/02/20 by Patrick Ferdinand Christ, Florian Ettlinger, Christ, Patrick Ferdinand +37 · 6 citations
   Computer Science · Medicine · #AI in cancer detection #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Lung Cancer Diagnosis and Treatment #Radiomics and Machine Learning in Medical Imaging
2. Stabilizing Inputs to Approximated Nonlinear Functions for Inference with Homomorphic Encryption in Deep Neural Networks
   2019/02/05 by Moustafa Aboulatta, AboulAtta, Moustafa, Matthias Ossadnik +3 · 2 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques
3. SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D convolutional neural networks
   2017/02/20 by Patrick Ferdinand Christ, Christ, Patrick Ferdinand, Florian Ettlinger +17 · 2 citations
   Computer Science · Medicine · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #MRI in cancer diagnosis #Radiomics and Machine Learning in Medical Imaging
4. Multi-modal Disease Classification in Incomplete Datasets Using\n Geometric Matrix Completion
   2018/03/30 by Gerome Vivar, Vivar, Gerome, Andreas Zwergal +5 · 1 citation
   Computer Science · #Computational Drug Discovery Methods #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
5. InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction
   2019/03/11 by Anees Kazi, Shayan Shekarforoush, Kazi, Anees +15 · 1 citation
   Computer Science · Medicine · #Machine Learning in Healthcare #Advanced Graph Neural Networks #Radiomics and Machine Learning in Medical Imaging