Papanikolopoulos, Nikolaos

1. The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes
   2019/03/31 by Nicholas Heller, Niranjan Sathianathen, Heller, Nicholas +37 · 32 citations
   Biochemistry, Genetics and Molecular Biology · Medicine · #Bladder and Urothelial Cancer Treatments #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Quantitative Methods (q-bio.QM) #Renal and related cancers #Renal cell carcinoma treatment
2. The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge
   2019/12/02 by Heller, Nicholas, Isensee, Fabian, Maier-Hein, Klaus H. +38 · 29 citations
   #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
3. The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT
   2023/07/05 by Nicholas Heller, Heller, Nicholas, Fabian Isensee +87 · 30 citations
   Computer Science · Engineering · Medicine · #Advanced Neural Network Applications #Advanced X-ray and CT Imaging #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Renal cell carcinoma treatment
4. Imperfect Segmentation Labels: How Much Do They Matter?
   2018/06/12 by Nicholas Heller, Heller, Nicholas, Joshua Dean +3 · 4 citations
   Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Medical Image Segmentation Techniques
5. Learning Log-Determinant Divergences for Positive Definite Matrices
   2021/04/13 by Cherian, Anoop, Stanitsas, Panagiotis, Wang, Jue +3 · 1 citation
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
6. Pre-Clustering Point Clouds of Crop Fields Using Scalable Methods
   2021/07/22 by H. James Nelson, Nelson, Henry J., Nikolaos Papanikolopoulos +1 · 1 citation
   Agricultural and Biological Sciences · Environmental Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Greenhouse Technology and Climate Control #Remote Sensing and LiDAR Applications #Smart Agriculture and AI