Fangfang Xia | DeepAI

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Featured Co-authors

Hao Wang
366 publications
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240 publications
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101 publications
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Danail Stoyanov
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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...

17 Aneeq Zia, et al. ∙

∙ 07/13/2022

Cost-Effective Online Contextual Model Selection

How can we collect the most useful labels to learn a model selection pol...

11 Xuefeng Liu, et al. ∙

∙ 04/10/2022

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition

Context-aware decision support in the operating room can foster surgical...

32 Chinedu Innocent Nwoye, et al. ∙

∙ 05/01/2021

Neko: a Library for Exploring Neuromorphic Learning Rules

The field of neuromorphic computing is in a period of active exploration...

0 Zixuan Zhao, et al. ∙

∙ 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...

0 Agastya P. Bhati, et al. ∙

∙ 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...

0 Alexander Partin, et al. ∙

∙ 05/12/2020

Recurrent and Spiking Modeling of Sparse Surgical Kinematics

Robot-assisted minimally invasive surgery is improving surgeon performan...

6 Neil Getty, et al. ∙

∙ 05/11/2020

Deep Medical Image Analysis with Representation Learning and Neuromorphic Computing

We explore three representative lines of research and demonstrate the ut...

0 Neil Getty, et al. ∙

∙ 05/05/2020

Towards On-Chip Bayesian Neuromorphic Learning

If edge devices are to be deployed to critical applications where their ...

0 Nathan Wycoff, et al. ∙

∙ 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...

0 Austin Clyde, et al. ∙

∙ 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...

0 Prasanna Balaprakash, et al. ∙

∙ 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...

0 Nathan Wycoff, et al. ∙

∙ 07/05/2016

Machine Learning for Antimicrobial Resistance

Biological datasets amenable to applied machine learning are more availa...

0 John W. Santerre, et al. ∙

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