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05/11/2023
Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge
The ability to automatically detect and track surgical instruments in en...
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07/13/2022
Cost-Effective Online Contextual Model Selection
How can we collect the most useful labels to learn a model selection pol...
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04/10/2022
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
Context-aware decision support in the operating room can foster surgical...
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05/01/2021
Neko: a Library for Exploring Neuromorphic Learning Rules
The field of neuromorphic computing is in a period of active exploration...
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03/04/2021
Pandemic Drugs at Pandemic Speed: Accelerating COVID-19 Drug Discovery with Hybrid Machine Learning- and Physics-based Simulations on High Performance Computers
The race to meet the challenges of the global pandemic has served as a r...
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11/25/2020
Learning Curves for Drug Response Prediction in Cancer Cell Lines
Motivated by the size of cell line drug sensitivity data, researchers ha...
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05/12/2020
Recurrent and Spiking Modeling of Sparse Surgical Kinematics
Robot-assisted minimally invasive surgery is improving surgeon performan...
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05/11/2020
Deep Medical Image Analysis with Representation Learning and Neuromorphic Computing
We explore three representative lines of research and demonstrate the ut...
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05/05/2020
Towards On-Chip Bayesian Neuromorphic Learning
If edge devices are to be deployed to critical applications where their ...
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04/30/2020
A Systematic Approach to Featurization for Cancer Drug Sensitivity Predictions with Deep Learning
By combining various cancer cell line (CCL) drug screening panels, the s...
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09/01/2019
Scalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Deep Learning Research
Cancer is a complex disease, the understanding and treatment of which ar...
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04/29/2019
Neuromorphic Acceleration for Approximate Bayesian Inference on Neural Networks via Permanent Dropout
As neural networks have begun performing increasingly critical tasks for...
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07/05/2016
