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Found 6 papers, 2 papers with code
Robust Learning Protocol for Federated Tumor Segmentation Challenge
In this work, we devise robust and efficient learning protocols for orchestrating a Federated Learning (FL) process for the Federated Tumor Segmentation Challenge (FeTS 2022).
Extracting, Visualizing, and Learning from Dynamic Data: Perfusion in Surgical Video for Tissue Characterization
Intraoperative assessment of tissue can be guided through fluorescence imaging which involves systemic dosing with a fluorophore and subsequent examination of the tissue region of interest with a near-infrared camera.
A Real-Time Region Tracking Algorithm Tailored to Endoscopic Video with Open-Source Implementation
With a video data source, such as multispectral video acquired during administration of fluorescent tracers, extraction of time-resolved data typically requires the compensation of motion.
Reinforcement Learning with Algorithms from Probabilistic Structure Estimation
In some cases, the environment is not influenced by the actions of the RL agent, in which case the problem can be modeled as a contextual multi-armed bandit and lightweight myopic algorithms can be employed.
Perfusion Quantification from Endoscopic Videos: Learning to Read Tumor Signatures
Intra-operative identification of malignant versus benign or healthy tissue is a major challenge in fluorescence guided cancer surgery.
Bayesian Classifier for Route Prediction with Markov Chains
We present here a general framework and a specific algorithm for predicting the destination, route, or more generally a pattern, of an ongoing journey, building on the recent work of [Y. Lassoued, J. Monteil, Y. Gu, G. Russo, R. Shorten, and M. Mevissen, "Hidden Markov model for route and destination prediction," in IEEE International Conference on Intelligent Transportation Systems, 2017].
