7.2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Mayo Clinic in FloridaUS31 papers
- Mayo ClinicUS27 papers
- Arizona State UniversityUS16 papers
- WinnMedUS10 papers
- University of Illinois Urbana-ChampaignUS9 papers
- Emory UniversityUS8 papers
- University of PennsylvaniaUS8 papers
- Harvard UniversityUS7 papers
- Cornell UniversityUS6 papers
- National Institutes of HealthUS6 papers
- Yale UniversityUS6 papers
- Indiana University – Purdue University IndianapolisUS5 papers
7 papers · 1 filter
Integrating Artificial Intelligence with Real-time Intracranial EEG Monitoring to Automate Interictal Identification of Seizure Onset Zones in Focal Epilepsy
Yogatheesan Varatharajah, Brent Berry, Jan Cimbalnik +6
An ability to map seizure-generating brain tissue, i.e., the seizure onset zone (SOZ), without recording actual seizures could reduce the duration of invasive EEG monitoring for pa…
A Contextual-bandit-based Approach for Informed Decision-making in Clinical Trials
Yogatheesan Varatharajah, Brent Berry, Sanmi Koyejo +1
Clinical trials involving multiple treatments utilize randomization of the treatment assignments to enable the evaluation of treatment efficacies in an unbiased manner. Such evalua…
Ripple oscillations in the left temporal neocortex are associated with impaired verbal episodic memory encoding
Zachary J. Waldman, Liliana Camarillo-Rodriguez, Inna Chervenova +24
Background: We sought to determine if ripple oscillations (80-120Hz), detected in intracranial EEG (iEEG) recordings of epilepsy patients, correlate with an enhancement or disrupti…
A Deep Representation Empowered Distant Supervision Paradigm for Clinical Information Extraction
Yanshan Wang, Sunghwan Sohn, Sijia Liu +5
Objective: To automatically create large labeled training datasets and reduce the efforts of feature engineering for training accurate machine learning models for clinical informat…
Sequential Optimization in Locally Important Dimensions
Munir A. Winkel, Jonathan W. Stallings, Curt B. Storlie +1
Optimizing an expensive, black-box function is challenging when its input space is high-dimensional. Sequential design frameworks first model with a surrogate…
SD-CNN: a Shallow-Deep CNN for Improved Breast Cancer Diagnosis
Fei Gao, Teresa Wu, Jing Li +4
Breast cancer is the second leading cause of cancer death among women worldwide. Nevertheless, it is also one of the most treatable malignances if detected early. Screening for bre…
Active, Continual Fine Tuning of Convolutional Neural Networks for Reducing Annotation Efforts
Zongwei Zhou, Jae Y. Shin, Suryakanth R. Gurudu +2
The splendid success of convolutional neural networks (CNNs) in computer vision is largely attributable to the availability of massive annotated datasets, such as ImageNet and Plac…