Search Results - "Cheng, Phillip"

Deep Learning: A Primer for Radiologists by Chartrand, Gabriel, Cheng, Phillip M, Vorontsov, Eugene, Drozdzal, Michal, Turcotte, Simon, Pal, Christopher J, Kadoury, Samuel, Tang, An

“…Deep learning is a class of machine learning methods that are gaining success and attracting interest in many domains, including computer vision, speech…”
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Artificial Intelligence for Medical Image Analysis: A Guide for Authors and Reviewers by England, Joseph R, Cheng, Phillip M

“…The purpose of this article is to highlight best practices for writing and reviewing articles on artificial intelligence for medical image analysis. Artificial…”
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Transfer Learning with Convolutional Neural Networks for Classification of Abdominal Ultrasound Images by Cheng, Phillip M., Malhi, Harshawn S.

“…The purpose of this study is to evaluate transfer learning with deep convolutional neural networks for the classification of abdominal ultrasound images…”
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Tackling the Radiological Society of North America Pneumonia Detection Challenge by Pan, Ian, Cadrin-Chênevert, Alexandre, Cheng, Phillip M

“…We provide overviews of deep learning approaches used by two top-placing teams for the 2018 Radiological Society of North America (RSNA) Pneumonia Detection…”
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Bigram frequency analysis for detection of radiology report errors by Cheng, Phillip M.

“…This pilot study evaluates the utility of analyzing bigram frequencies for detecting radiology report errors. A corpus of 48,050 CT reports was used to…”
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Deep Learning: An Update for Radiologists by Cheng, Phillip M., Montagnon, Emmanuel, Yamashita, Rikiya, Pan, Ian, Cadrin-Chênevert, Alexandre, Perdigón Romero, Francisco, Chartrand, Gabriel, Kadoury, Samuel, Tang, An

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Reward Rapidly Enhances Visual Perception by Cheng, Phillip (Xin), Rich, Anina N., Le Pelley, Mike E.

“…Rewards exert a deep influence on our cognition and behavior. Here, we used a paradigm in which reward information was provided at either encoding or retrieval…”
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Dissociable rhythmic mechanisms enhance memory for conscious and nonconscious perceptual contents by Cheng, Phillip Xin, Grover, Shrey, Wen, Wen, Sankaranarayanan, Shruthi, Davies, Sierra, Fragetta, Justine, Soto, David, Reinhart, Robert M G

“…Understanding the neural mechanisms of conscious and unconscious experience is a major goal of fundamental and translational neuroscience. Here, we target the…”
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Perinephric myxoid pseudotumor of fat: a multimodality imaging case series by Lee, Justin, King, Kevin G., Chopra, Shefali, Cheng, Phillip M.

“…Perinephric myxoid pseudotumor of fat (PMPF) is an unusual clinical entity with few prior imaging case reports. We report a multimodality imaging case series…”
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Overt attentional capture by reward-related stimuli overcomes inhibitory suppression by Pearson, Daniel, Watson, Poppy, Cheng, Phillip Xin, Le Pelley, Mike E

“…Salient-but-irrelevant distractors can automatically capture attention and eye-gaze in visual search. However, recent findings have suggested that attention to…”
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More is better: Relative prevalence of multiple targets affects search accuracy by Cheng, Phillip Xin, Rich, Anina N

“…In real-world searches such as airport baggage screening and radiological examinations, miss errors can be life threatening. Misses increase for additional…”
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Correction: Perinephric myxoid pseudotumor of fat: a multimodality imaging case series by Lee, Justin, King, Kevin G., Chopra, Shefali, Cheng, Phillip M.

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Predicting Perceived Reporting Complexity of Abdominopelvic Computed Tomography With Deep Learning by Cheng, Phillip M., Whang, Gilbert, Allgood, Evan, Tejura, Tapas K.

“…The purpose of this pilot study was to examine human and automated estimates of reporting complexity for computed tomography (CT) studies of the abdomen and…”
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Feasibility and physiological effects of noninvasive neurally adjusted ventilatory assist in preterm infants by Gibu, Christopher K, Cheng, Phillip Y, Ward, Raymond J, Castro, Benjamin, Heldt, Gregory P

“…Background Noninvasive neurally adjusted ventilator assist (NIV-NAVA) was introduced to our clinical practice via a pilot and a randomized observational study…”
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Refining Convolutional Neural Network Detection of Small-Bowel Obstruction in Conventional Radiography by Cheng, Phillip M, Tran, Khoa N, Whang, Gilbert, Tejura, Tapas K

“…The purpose of this study was to evaluate improvement of convolutional neural network detection of high-grade small-bowel obstruction on conventional…”
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Approach Coping Mitigates Distress of COVID-19 Isolation for Young Men With Low Well-Being in a Sample of 1,749 Youth From Australia and the USA by Cheng, Phillip (Xin), Park, Haeme R. P., Gatt, Justine M.

“…The unprecedented COVID-19 pandemic has led to lockdowns across the world with people being separated from their loved ones including partners, family, and…”
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Detection of Traumatic Pediatric Elbow Joint Effusion Using a Deep Convolutional Neural Network by England, Joseph R, Gross, Jordan S, White, Eric A, Patel, Dakshesh B, England, Jasmin T, Cheng, Phillip M

“…The purpose of this study is to determine whether a deep convolutional neural network (DCNN) trained on a dataset of limited size can accurately diagnose…”
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Patient Vertical Centering and Correlation with Radiation Output in Adult Abdominopelvic CT by Cheng, Phillip M.

“…The purpose of this study was to determine if there is a significant effect, independent of patient size, of patient vertical centering on the…”
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Detection of high-grade small bowel obstruction on conventional radiography with convolutional neural networks by Cheng, Phillip M., Tejura, Tapas K., Tran, Khoa N., Whang, Gilbert

“…The purpose of this pilot study is to determine whether a deep convolutional neural network can be trained with limited image data to detect high-grade small…”
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Histogram-Based Discrimination of Intravenous Contrast in Abdominopelvic Computed Tomography by Cheng, Phillip M

“…The aim of this study was to evaluate the accuracy of fully automated machine learning methods for detecting intravenous contrast in computed tomography (CT)…”
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