Farzad Khalvati

1. A Brief Review of Deep Multi-task Learning and Auxiliary Task Learning
   2020/07/02 by Partoo Vafaeikia, Vafaeikia, Partoo, Khashayar Namdar +3 · 2 citations
   Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Multimodal Machine Learning Applications
2. Discovery Radiomics for Pathologically-Proven Computed Tomography Lung\n Cancer Prediction
   2015/08/31 by Devinder Kumar, Kumar, Devinder, Mohammad Javad Shafiee +9 · 1 citation
   Computer Science · Engineering · Medicine · #AI in cancer detection #Advanced X-ray and CT Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Lung Cancer Diagnosis and Treatment #Radiomics and Machine Learning in Medical Imaging
3. Generating 3D Brain Tumor Regions in MRI using Vector-Quantization Generative Adversarial Networks
   2023/10/02 by Zhou Meng, Matthias Wagner, Zhou, Meng +9 · 3 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · #AI in cancer detection #Advanced Neural Network Applications #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
4. Improving Prognostic Performance in Resectable Pancreatic Ductal Adenocarcinoma using Radiomics and Deep Learning Features Fusion in CT Images
   2019/07/10 by Yucheng Zhang, Edrise M. Lobo-Mueller, Zhang, Yucheng +9 · 1 citation
   Computer Science · Medicine · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Pancreatic and Hepatic Oncology Research #Quantitative Methods (q-bio.QM) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
5. RANDGAN: Randomized Generative Adversarial Network for Detection of\n COVID-19 in Chest X-ray
   2020/10/06 by Saman Motamed, Patrik Rogalla, Motamed, Saman +3 · 1 citation
   Computer Science · Engineering · Medicine · #AI in cancer detection #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image Processing Techniques and Applications #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
6. A Transfer Learning Approach for Automated Segmentation of Prostate Whole Gland and Transition Zone in Diffusion Weighted MRI
   2019/09/20 by Saman Motamed, Motamed, Saman, Isha Gujrathi +9 · 1 citation
   Engineering · Medicine · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #MRI in cancer diagnosis #Machine Learning (cs.LG) #Medical Imaging and Analysis #Prostate Cancer Diagnosis and Treatment #Quantitative Methods (q-bio.QM) #electronic engineering #information engineering
7. Discovery Radiomics via StochasticNet Sequencers for Cancer Detection
   2015/11/11 by Mohammad Javad Shafiee, Audrey G. Chung, Shafiee, Mohammad Javad +9 · 1 citation
   Computer Science · Engineering · Medicine · #AI in cancer detection #Advanced X-ray and CT Imaging #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Radiomics and Machine Learning in Medical Imaging
8. Multimodal Semantic-Aware Contrastive Learning For False Negative Mitigation in 3D Medical Imaging
   2026/07/16 by Sara Ketabi, Matthias W. Wagner, Cynthia Hawkins +3
   #cs.LG #q-bio.QM