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ORCIDRasha Sheikh
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2020 – today
- 2022
[c8]Rasha Sheikh
, Morris Klasen, Thomas Schultz:
Adaptive Optimization with Fewer Epochs Improves Across-Scanner Generalization of U-Net Based Medical Image Segmentation. DART@MICCAI 2022: 119-128- [c7]Rasha Sheikh, Thomas Schultz:
Unsupervised Domain Adaptation for Medical Image Segmentation via Self-Training of Early Features. MIDL 2022: 1096-1107 - 2020
- [c6]Rasha Sheikh, Andres Milioto, Philipp Lottes, Cyrill Stachniss, Maren Bennewitz, Thomas Schultz:
Gradient and Log-based Active Learning for Semantic Segmentation of Crop and Weed for Agricultural Robots. ICRA 2020: 1350-1356 - [c5]Rasha Sheikh, Thomas Schultz:
Feature Preserving Smoothing Provides Simple and Effective Data Augmentation for Medical Image Segmentation. MICCAI (1) 2020: 116-126
2010 – 2019
- 2018
- [c4]Rasha Sheikh, Stefan Oßwald, Maren Bennewitz:
A Combined RGB and Depth Descriptor for SLAM with Humanoids. IROS 2018: 1718-1724 - 2016
- [c3]Rasha Sheikh, Martin Garbade, Juergen Gall:
Real-Time Semantic Segmentation with Label Propagation. ECCV Workshops (2) 2016: 3-14 - 2015
- [c2]Hannes Schulz, Benedikt Waldvogel, Rasha Sheikh, Sven Behnke:
CURFIL: Random Forests for Image Labeling on GPU. VISAPP (2) 2015: 156-164 - [c1]Hannes Schulz, Benedikt Waldvogel, Rasha Sheikh, Sven Behnke:
CURFIL: A GPU Library for Image Labeling with Random Forests. VISIGRAPP (Selected Papers) 2015: 416-432
Coauthor Index
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