Kamnitsas, K.[Konstantinos]
* 2017: Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging
* 2017: DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks
* 2017: Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth
* 2017: SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound
* 2018: Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation
* 2020: Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models
* 2021: Analyzing Overfitting Under Class Imbalance in Neural Networks for Image Segmentation
* 2023: Context Label Learning: Improving Background Class Representations in Semantic Segmentation
* 2023: Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation
Includes: Kamnitsas, K.[Konstantinos] Kamnitsas, K.
9 for Kamnitsas, K.
Kamnoonwatana, N.
* 2006: Multiple Priority Region of Interest Coding with H.264
* 2008: Exploiting MPEG-7 texture descriptors for fast H.264 mode decision
* 2010: Rate-controlled redundancy-adaptive multiple description coding for video transmission over MIMO systems
* 2011: Rate controlled redundancy-adaptive multiple description video coding
* 2012: Flexible Adaptive Multiple Description Coding for Video Transmission
Includes: Kamnoonwatana, N. Kamnoonwatana, N.[Nawat]