Search Results - "Summers, Ronald"

Artificial Intelligence of COVID-19 Imaging: A Hammer in Search of a Nail by Summers, Ronald M

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Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks by Sandfort, Veit, Yan, Ke, Pickhardt, Perry J., Summers, Ronald M.

“…Labeled medical imaging data is scarce and expensive to generate. To achieve generalizable deep learning models large amounts of data are needed. Standard data…”
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Progress in Fully Automated Abdominal CT Interpretation by Summers, Ronald M

“…Automated analysis of abdominal CT has advanced markedly over just the last few years. Fully automated assessment of organs, lymph nodes, adipose tissue,…”
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Machine learning and radiology by Wang, Shijun, Summers, Ronald M.

“…In this paper, we give a short introduction to machine learning and survey its applications in radiology. We focused on six categories of applications in…”
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Radiomics to Predict Microvascular Invasion in Hepatocellular Carcinoma: A Promising Biomarker for Tumor Recurrence by Summers, Ronald M

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Vertebral Body Compression Fractures and Bone Density: Automated Detection and Classification on CT Images by Burns, Joseph E, Yao, Jianhua, Summers, Ronald M

“…Purpose To create and validate a computer system with which to detect, localize, and classify compression fractures and measure bone density of thoracic and…”
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Deep learning in medical imaging and radiation therapy by Sahiner, Berkman, Pezeshk, Aria, Hadjiiski, Lubomir M., Wang, Xiaosong, Drukker, Karen, Cha, Kenny H., Summers, Ronald M., Giger, Maryellen L.

“…The goals of this review paper on deep learning (DL) in medical imaging and radiation therapy are to (a) summarize what has been achieved to date; (b) identify…”
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Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning by Shin, Hoo-Chang, Roth, Holger R., Gao, Mingchen, Lu, Le, Xu, Ziyue, Nogues, Isabella, Yao, Jianhua, Mollura, Daniel, Summers, Ronald M.

“…Remarkable progress has been made in image recognition, primarily due to the availability of large-scale annotated datasets and deep convolutional neural…”
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Transparency in Radiology and Nuclear Medicine AI Research: Realistic Expectation or Pipedream? by Summers, Ronald M.

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A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises by Zhou, S. Kevin, Greenspan, Hayit, Davatzikos, Christos, Duncan, James S., Van Ginneken, Bram, Madabhushi, Anant, Prince, Jerry L., Rueckert, Daniel, Summers, Ronald M.

“…Since its renaissance, deep learning has been widely used in various medical imaging tasks and has achieved remarkable success in many medical imaging…”
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DeepLesion: automated mining of large-scale lesion annotations and universal lesion detection with deep learning by Yan, Ke, Wang, Xiaosong, Lu, Le, Summers, Ronald M

“…Extracting, harvesting, and building large-scale annotated radiological image datasets is a greatly important yet challenging problem. Meanwhile, vast amounts…”
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Nomograms for Automated Body Composition Analysis: A Crucial Step for Routine Clinical Implementation by Summers, Ronald M

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Systematic evaluation of iterative deep neural networks for fast parallel MRI reconstruction with sensitivity‐weighted coil combination by Hammernik, Kerstin, Schlemper, Jo, Qin, Chen, Duan, Jinming, Summers, Ronald M., Rueckert, Daniel

“…Purpose To systematically investigate the influence of various data consistency layers and regularization networks with respect to variations in the training…”
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Texture analysis in radiology: Does the emperor have no clothes? by Summers, Ronald M.

“…Texture analysis is more and more frequently used in radiology research. Is this a new technology, and if not, what has changed? Is texture analysis the great…”
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Imaging Biomarkers to Assess Response to Immune Checkpoint Inhibitors in Solid Tumors to Tailor Therapy by Summers, Ronald M

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Opportunistic Osteoporosis Screening at Routine Abdominal and Thoracic CT: Normative L1 Trabecular Attenuation Values in More than 20 000 Adults by Jang, Samuel, Graffy, Peter M, Ziemlewicz, Timothy J, Lee, Scott J, Summers, Ronald M, Pickhardt, Perry J

“…Background Abdominal and thoracic CT provide a valuable opportunity for osteoporosis screening regardless of the clinical indication for imaging. Purpose To…”
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Feasibility of Using the Privacy-preserving Large Language Model Vicuna for Labeling Radiology Reports by Mukherjee, Pritam, Hou, Benjamin, Lanfredi, Ricardo B, Summers, Ronald M

“…Background Large language models (LLMs) such as ChatGPT, though proficient in many text-based tasks, are not suitable for use with radiology reports due to…”
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DeepPap: Deep Convolutional Networks for Cervical Cell Classification by Ling Zhang, Le Lu, Nogues, Isabella, Summers, Ronald M., Shaoxiong Liu, Jianhua Yao

“…Automation-assisted cervical screening via Pap smear or liquid-based cytology (LBC) is a highly effective cell imaging based cancer detection tool, where cells…”
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Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation by Roth, Holger R., Le Lu, Jiamin Liu, Jianhua Yao, Seff, Ari, Cherry, Kevin, Kim, Lauren, Summers, Ronald M.

“…Automated computer-aided detection (CADe) has been an important tool in clinical practice and research. State-of-the-art methods often show high sensitivities…”
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Automated Liver Fat Quantification at Nonenhanced Abdominal CT for Population-based Steatosis Assessment by Graffy, Peter M, Sandfort, Veit, Summers, Ronald M, Pickhardt, Perry J

“…Background Nonalcoholic fatty liver disease and its consequences are a growing public health concern requiring cross-sectional imaging for noninvasive…”
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