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Found 6 papers, 1 papers with code
OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines
The dose predictions were input to four optimization models to form 76 unique KBP pipelines that generated 7600 plans.
How to Exploit the Transferability of Learned Image Compression to Conventional Codecs
Recent research suggests that generative adversarial networks have the ability to overcome this limitation and serve as a multi-modal loss, especially for textures.
Self-similarity Student for Partial Label Histopathology Image Segmentation
Following this similarity learning, our similarity ensemble merges similar patches' ensembled predictions as the pseudo-label of a given patch to counteract its noisy label.
A Cascaded Learning Strategy for Robust COVID-19 Pneumonia Chest X-Ray Screening
We introduce a comprehensive screening platform for the COVID-19 (a. k. a., SARS-CoV-2) pneumonia.
What Synthesis is Missing: Depth Adaptation Integrated with Weak Supervision for Indoor Scene Parsing
Our proposed two-stage integration more than halves the gap towards fully supervised methods when compared to previous state-of-the-art in transfer learning.
