Nicholas M Czarnek
Nicholas M Czarnek
DiaSorin Molecular
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Radiogenomics of lower-grade glioma: algorithmically-assessed tumor shape is associated with tumor genomic subtypes and patient outcomes in a multi-institutional study with The …
MA Mazurowski, K Clark, NM Czarnek, P Shamsesfandabadi, KB Peters, ...
Journal of Neuro-Oncology, 2017
Microaneurysm detection using principal component analysis and machine learning methods
W Cao, N Czarnek, J Shan, L Li
IEEE transactions on nanobioscience 17 (3), 191-198, 2018
Algorithmic three-dimensional analysis of tumor shape in MRI improves prognosis of survival in glioblastoma: a multi-institutional study
N Czarnek, K Clark, KB Peters, MA Mazurowski
Journal of Neuro-Oncology, 2017
Microaneurysm Detection in Fundus Images Using Small Image Patches and Machine Learning Methods
W Cao, N Czarnek, J Shan, L Li
IEEE Internation Conference on Bioinformatics and Biomedicine, 2017
An analysis of resting-state functional transcranial Doppler recordings from middle cerebral arteries
E Sejdić, D Kalika, N Czarnek
PLoS One 8 (2), e55405, 2013
Radiogenomics of glioblastoma: a pilot multi-institutional study to investigate a relationship between tumor shape features and tumor molecular subtype
NM Czarnek, K Clark, KB Peters, LM Collins, MA Mazurowski
Medical Imaging 2016 9785, 2016
Performance Comparison Framework for Energy Disaggregation Systems
N Czarnek, K Morton, L Collins, R Newell, K Bradbury
2015 IEEE International Conference on Smart Grid Communications …, 2015
Predicting outcomes in glioblastoma patients using computerized analysis of tumor shape: preliminary data
MA Mazurowski, NM Czarnek, LM Collins, KB Peters, KL Clark
SPIE Medical Imaging 2016 9785, 2016
Radiogenomic analysis of lower grade glioma: a pilot multi-institutional study shows an association between quantitative image features and tumor genomics
MA Mazurowski, K Clark, N Czarnek, P Shamsesfandabadi, KB Peters, ...
SPIE Medical Imaging, 2017
Stick-On USB Drive Holder
NM Czarnek, R Czarnek
US Patent App. 12/356,717, 2009
The impact of time on seizure prediction performance in the FSPEEG database
N Czarnek, K Morton, L Collins, S Tantum, C Throckmorton
Epilepsy & Behavior 48, 79-82, 2015
Physically Motivated Feature Development for Machine Learning Applications
N Czarnek
Duke University, 2017
Discrimination of radiologists utilizing eye-tracking technology and machine learning: A case study
S Martinez, C Ramirez-Tamayo, SHA Faruqui, KL Clark, A Alaeddini, ...
arXiv preprint arXiv:2308.02748, 2023
Incorporation of Eye Tracking and Gaze Feedback to Characterize and Improve Radiologist Search Patterns of Chest X-Rays: A Randomized Controlled Clinical Trial
C Ramirez-Tamayo, SHA Faruqui, S Martinez, A Brisco, N Czarnek, ...
Journal of the American College of Radiology 21 (6), 942-946, 2024
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