Search Results - "Dy, Jennifer G"

Explainable deep learning for insights in El Niño and river flows by Liu, Yumin, Duffy, Kate, Dy, Jennifer G., Ganguly, Auroop R.

“…The El Niño Southern Oscillation (ENSO) is a semi-periodic fluctuation in sea surface temperature (SST) over the tropical central and eastern Pacific Ocean…”
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Skin strata delineation in reflectance confocal microscopy images using recurrent convolutional networks with attention by Bozkurt, Alican, Kose, Kivanc, Coll-Font, Jaume, Alessi-Fox, Christi, Brooks, Dana H., Dy, Jennifer G., Rajadhyaksha, Milind

“…Reflectance confocal microscopy (RCM) is an effective non-invasive tool for cancer diagnosis. However, acquiring and reading RCM images requires extensive…”
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Semantic segmentation of reflectance confocal microscopy mosaics of pigmented lesions using weak labels by D’Alonzo, Marissa, Bozkurt, Alican, Alessi-Fox, Christi, Gill, Melissa, Brooks, Dana H., Rajadhyaksha, Milind, Kose, Kivanc, Dy, Jennifer G.

“…Reflectance confocal microscopy (RCM) is a non-invasive imaging tool that reduces the need for invasive histopathology for skin cancer diagnoses by providing…”
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Classification Active Learning Based on Mutual Information by Sourati, Jamshid, Akcakaya, Murat, Dy, Jennifer, Leen, Todd, Erdogmus, Deniz

“…Selecting a subset of samples to label from a large pool of unlabeled data points, such that a sufficiently accurate classifier is obtained using a reasonably…”
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Fluoroscopic gating without implanted fiducial markers for lung cancer radiotherapy based on support vector machines by Cui, Ying, Dy, Jennifer G, Alexander, Brian, Jiang, Steve B

“…Various problems with the current state-of-the-art techniques for gated radiotherapy have prevented this new treatment modality from being widely implemented…”
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Harnessing the Power of GPUs to Speed Up Feature Selection for Outlier Detection by Fatemeh Azmandian Member, IEEE, Ayse Yilmazer Student Member, IEEE, Jennifer G. Dy Member, IEEE Javed A. Aslam IEEE, Jennifer G. Dy Member, ACM David R. Kaeli Fellow, IEEE, Member, ACM

“…Acquiring a set of features that emphasize the differences between normal data points and outliers can drastically facilitate the task of identifying outliers…”
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A computational model for compressed sensing RNAi cellular screening by Tan, Hua, Fan, Jing, Bao, Jiguang, Dy, Jennifer G, Zhou, Xiaobo

“…RNA interference (RNAi) becomes an increasingly important and effective genetic tool to study the function of target genes by suppressing specific genes of…”
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Intelligent Labeling Based on Fisher Information for Medical Image Segmentation Using Deep Learning by Sourati, Jamshid, Gholipour, Ali, Dy, Jennifer G., Tomas-Fernandez, Xavier, Kurugol, Sila, Warfield, Simon K.

“…Deep convolutional neural networks (CNN) have recently achieved superior performance at the task of medical image segmentation compared to classic models…”
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Robust fluoroscopic respiratory gating for lung cancer radiotherapy without implanted fiducial markers by Cui, Ying, Dy, Jennifer G, Sharp, Greg C, Alexander, Brian, Jiang, Steve B

“…For gated lung cancer radiotherapy, it is difficult to generate accurate gating signals due to the large uncertainties when using external surrogates and the…”
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Utilizing Machine Learning for Image Quality Assessment for Reflectance Confocal Microscopy by Kose, Kivanc, Bozkurt, Alican, Alessi-Fox, Christi, Brooks, Dana H., Dy, Jennifer G., Rajadhyaksha, Milind, Gill, Melissa

“…In vivo reflectance confocal microscopy (RCM) enables clinicians to examine lesions’ morphological and cytological information in epidermal and dermal layers…”
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A Probabilistic Active Learning Algorithm Based on Fisher Information Ratio by Sourati, Jamshid, Akcakaya, Murat, Erdogmus, Deniz, Leen, Todd K., Dy, Jennifer G.

“…The task of labeling samples is demanding and expensive. Active learning aims to generate the smallest possible training data set that results in a classifier…”
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Automated Target Detection for Geophysical Applications by Peer, Uri, Dy, Jennifer G.

“…In many geophysical surveys, there is a predefined goal-to detect and locate very specific anomalies, those that correspond to buried objects (targets). The…”
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A Novel Approach to Monitor Rehabilitation Outcomes in Stroke Survivors Using Wearable Technology by Patel, Shyamal, Hughes, Richard, Hester, Todd, Stein, Joel, Akay, Metin, Dy, Jennifer G., Bonato, Paolo

“…Quantitative assessment of motor abilities in stroke survivors can provide valuable feedback to guide clinical interventions. Numerous clinical scales were…”
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Machine Learning-Based Determination of Sampling Depth for Complex Environmental Systems: Case Study with Single-Cell Raman Spectroscopy Data in EBPR Systems by Li, Guangyu, Wu, Chieh, Wang, Dongqi, Srinivasan, Varun, Kaeli, David R., Dy, Jennifer G., Gu, April Z.

“…Rapid progress in various advanced analytical methods, such as single-cell technologies, enable unprecedented and deeper understanding of microbial ecology…”
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An Automated Pipeline for Dendrite Spine Detection and Tracking of 3D Optical Microscopy Neuron Images of In Vivo Mouse Models by Fan, Jing, Zhou, Xiaobo, Dy, Jennifer G., Zhang, Yong, Wong, Stephen T. C.

“…The variations in dendritic branch morphology and spine density provide insightful information about the brain function and possible treatment to…”
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Iterative Discovery of Multiple AlternativeClustering Views by Donglin Niu, Dy, Jennifer G., Jordan, Michael I.

“…Complex data can be grouped and interpreted in many different ways. Most existing clustering algorithms, however, only find one clustering solution, and…”
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Automated Delineation of Dermal–Epidermal Junction in Reflectance Confocal Microscopy Image Stacks of Human Skin by Kurugol, Sila, Kose, Kivanc, Park, Brian, Dy, Jennifer G., Brooks, Dana H., Rajadhyaksha, Milind

“…Reflectance confocal microscopy (RCM) images skin noninvasively, with optical sectioning and nuclear-level resolution comparable with that of pathology. On the…”
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Segmentation of cellular patterns in confocal images of melanocytic lesions in vivo via a multiscale encoder-decoder network (MED-Net) by Kose, Kivanc, Bozkurt, Alican, Alessi-Fox, Christi, Gill, Melissa, Longo, Caterina, Pellacani, Giovanni, Dy, Jennifer G., Brooks, Dana H., Rajadhyaksha, Milind

“…•In-vivo imaging based non-invasive diagnosis is advancing into clinical practice.•MED-Net mimicks clinicians’ examination of in vivo RCM images by multiscale…”
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Predicting and Monitoring Upper-Limb Rehabilitation Outcomes Using Clinical and Wearable Sensor Data in Brain Injury Survivors by Lee, Sunghoon I., Adans-Dester, Catherine P., OBrien, Anne T., Vergara-Diaz, Gloria P., Black-Schaffer, Randie, Zafonte, Ross, Dy, Jennifer G., Bonato, Paolo

“…Objective: Rehabilitation specialists have shown considerable interest for the development of models, based on clinical data, to predict the response to…”
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Machine Learning Characterization of COPD Subtypes: Insights From the COPDGene Study by Castaldi, Peter J, Boueiz, Adel, Yun, Jeong, Estepar, Raul San Jose, Ross, James C, Washko, George, Cho, Michael H, Hersh, Craig P, Kinney, Gregory L, Young, Kendra A, Regan, Elizabeth A, Lynch, David A, Criner, Gerald J, Dy, Jennifer G, Rennard, Stephen I, Casaburi, Richard, Make, Barry J, Crapo, James, Silverman, Edwin K, Hokanson, John E

“…COPD is a heterogeneous syndrome. Many COPD subtypes have been proposed, but there is not yet consensus on how many COPD subtypes there are and how they should…”
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