Gadermayr, Michael

1. Multiple Instance Learning for Digital Pathology: A Review on the State-of-the-Art, Limitations & Future Potential
   2022/06/09 by Michael Gadermayr, Gadermayr, Michael, Maximilian Tschuchnig +1 · 16 citations
   Computer Science · Medicine · #AI in cancer detection #Colorectal Cancer Screening and Detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques
2. MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis
   2022/11/10 by Michael Gadermayr, Gadermayr, Michael, Lukas Koller +13 · 2 citations
   Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Colorectal Cancer Screening and Detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Video Analysis and Summarization
3. Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential
   2020/04/30 by Tschuchnig, Maximilian Ernst, Oostingh, Gertie Janneke, Gadermayr, Michael · 1 citation
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
4. MixUp-MIL: A Study on Linear & Multilinear Interpolation-Based Data Augmentation for Whole Slide Image Classification
   2023/11/06 by Gadermayr, Michael, Koller, Lukas, Tschuchnig, Maximilian +5 · 1 citation
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences