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Found 5 papers, 0 papers with code
Improving Lesion Segmentation in FDG-18 Whole-Body PET/CT scans using Multilabel approach: AutoPET II challenge
In addition to the expert-annotated lesion labels, we introduced eight additional labels for organs, including the liver, kidneys, urinary bladder, spleen, lung, brain, heart, and stomach.
The AIMI Initiative: AI-Generated Annotations for Imaging Data Commons Collections
The Image Data Commons (IDC) contains publicly available cancer radiology datasets that could be pertinent to the research and development of advanced imaging tools and algorithms.
Intertwined charge, spin, and pairing orders in doped iron ladders
Although in a range of hole doping pairing correlations decay slowly, our results can also be interpreted as corresponding to a charge-density-wave made of pairs, a precursor of eventual superconductivity after interladder couplings are included.
Strongly Correlated Electrons Superconductivity
Fine-grained Uncertainty Modeling in Neural Networks
Our method sits on top of a given Neural Network, requires a single scan of training data to estimate class distribution statistics, and is highly scalable to deep networks and wider pre-softmax layer.
Adversarial TCAV -- Robust and Effective Interpretation of Intermediate Layers in Neural Networks
For robustness, we define it as the ability of an intermediate layer to be consistent in its recall rate (the effectiveness) for different random seeds.
