Search Results - "Mongan, John"

Automated detection of moderate and large pneumothorax on frontal chest X-rays using deep convolutional neural networks: A retrospective study by Taylor, Andrew G, Mielke, Clinton, Mongan, John

“…Pneumothorax can precipitate a life-threatening emergency due to lung collapse and respiratory or circulatory distress. Pneumothorax is typically detected on…”
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Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers by Mongan, John, Moy, Linda, Kahn, Jr, Charles E

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High-Throughput Classification of Radiographs Using Deep Convolutional Neural Networks by Rajkomar, Alvin, Lingam, Sneha, Taylor, Andrew G., Blum, Michael, Mongan, John

“…The study aimed to determine if computer vision techniques rooted in deep learning can use a small set of radiographs to perform clinically relevant image…”
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The RSNA International COVID-19 Open Radiology Database (RICORD) by Tsai, Emily B, Simpson, Scott, Lungren, Matthew P, Hershman, Michelle, Roshkovan, Leonid, Colak, Errol, Erickson, Bradley J, Shih, George, Stein, Anouk, Kalpathy-Cramer, Jayashree, Shen, Jody, Hafez, Mona, John, Susan, Rajiah, Prabhakar, Pogatchnik, Brian P, Mongan, John, Altinmakas, Emre, Ranschaert, Erik R, Kitamura, Felipe C, Topff, Laurens, Moy, Linda, Kanne, Jeffrey P, Wu, Carol C

“…The coronavirus disease 2019 (COVID-19) pandemic is a global health care emergency. Although reverse-transcription polymerase chain reaction testing is the…”
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Accelerated molecular dynamics: a promising and efficient simulation method for biomolecules by Hamelberg, Donald, Mongan, John, McCammon, J Andrew

“…Many interesting dynamic properties of biological molecules cannot be simulated directly using molecular dynamics because of nanosecond time scale limitations…”
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Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge by Flanders, Adam E, Prevedello, Luciano M, Shih, George, Halabi, Safwan S, Kalpathy-Cramer, Jayashree, Ball, Robyn, Mongan, John T, Stein, Anouk, Kitamura, Felipe C, Lungren, Matthew P, Choudhary, Gagandeep, Cala, Lesley, Coelho, Luiz, Mogensen, Monique, Morón, Fanny, Miller, Elka, Ikuta, Ichiro, Zohrabian, Vahe, McDonnell, Olivia, Lincoln, Christie, Shah, Lubdha, Joyner, David, Agarwal, Amit, Lee, Ryan K, Nath, Jaya

“…This dataset is composed of annotations of the five hemorrhage subtypes (subarachnoid, intraventricular, subdural, epidural, and intraparenchymal hemorrhage)…”
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Constant pH molecular dynamics in generalized Born implicit solvent by Mongan, John, Case, David A., McCammon, J. Andrew

“…A new method is proposed for constant pH molecular dynamics (MD), employing generalized Born (GB) electrostatics. Protonation states are modeled with different…”
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Developing, purchasing, implementing and monitoring AI tools in radiology: practical considerations. A multi-society statement from the ACR, CAR, ESR, RANZCR & RSNA by Brady, Adrian P., Allen, Bibb, Chong, Jaron, Kotter, Elmar, Kottler, Nina, Mongan, John, Oakden-Rayner, Lauren, dos Santos, Daniel Pinto, Tang, An, Wald, Christoph, Slavotinek, John

“…Artificial Intelligence (AI) carries the potential for unprecedented disruption in radiology, with possible positive and negative consequences. The integration…”
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The University of California San Francisco Preoperative Diffuse Glioma MRI Dataset by Calabrese, Evan, Villanueva-Meyer, Javier E, Rudie, Jeffrey D, Rauschecker, Andreas M, Baid, Ujjwal, Bakas, Spyridon, Cha, Soonmee, Mongan, John T, Hess, Christopher P

“…Informatics, MR Diffusion Tensor Imaging, MR Perfusion, MR Imaging, Neuro-Oncology, CNS, Brain/Brain Stem, Oncology, Radiogenomics, Radiology-Pathology…”
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Automated coronary calcium scoring using deep learning with multicenter external validation by Eng, David, Chute, Christopher, Khandwala, Nishith, Rajpurkar, Pranav, Long, Jin, Shleifer, Sam, Khalaf, Mohamed H., Sandhu, Alexander T., Rodriguez, Fatima, Maron, David J., Seyyedi, Saeed, Marin, Daniele, Golub, Ilana, Budoff, Matthew, Kitamura, Felipe, Takahashi, Marcelo Straus, Filice, Ross W., Shah, Rajesh, Mongan, John, Kallianos, Kimberly, Langlotz, Curtis P., Lungren, Matthew P., Ng, Andrew Y., Patel, Bhavik N.

“…Coronary artery disease (CAD), the most common manifestation of cardiovascular disease, remains the most common cause of mortality in the United States. Risk…”
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Extravasated contrast material in penetrating abdominopelvic trauma: dual-contrast dual-energy CT for improved diagnosis--preliminary results in an animal model by Mongan, John, Rathnayake, Samira, Fu, Yanjun, Gao, Dong-Wei, Yeh, Benjamin M

“…To compare the diagnostic performance of dual-energy (DE) computed tomography (CT) with two simultaneously administered contrast agents (hereafter, dual…”
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Pancreatic imaging mimics: part 1, imaging mimics of pancreatic adenocarcinoma by Coakley, Fergus V, Hanley-Knutson, Katryana, Mongan, John, Barajas, Ramon, Bucknor, Matthew, Qayyum, Aliya

“…The purpose of this article is to describe the imaging features of diseases that may closely simulate pancreatic adenocarcinoma, either radiologically or…”
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Machine Learning Tools for Image-Based Glioma Grading and the Quality of Their Reporting: Challenges and Opportunities by Merkaj, Sara, Bahar, Ryan C, Zeevi, Tal, Lin, MingDe, Ikuta, Ichiro, Bousabarah, Khaled, Cassinelli Petersen, Gabriel I, Staib, Lawrence, Payabvash, Seyedmehdi, Mongan, John T, Cha, Soonmee, Aboian, Mariam S

“…Technological innovation has enabled the development of machine learning (ML) tools that aim to improve the practice of radiologists. In the last decade, ML…”
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The Radiologist's Workflow Environment: Evaluation of Disruptors and Potential Implications by Yu, John-Paul J., MD, PhD, Kansagra, Akash P., MD, MS, Mongan, John, MD, PhD

“…Workflow interruptions in the health care delivery environment are a major contributor to medical errors and have been extensively studied within numerous…”
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Analysis of integral expressions for effective Born radii by Mongan, John, Svrcek-Seiler, W Andreas, Onufriev, Alexey

“…Generalized Born (GB) models provide a computationally efficient means of representing the electrostatic effects of solvent and are widely used, especially in…”
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Brain Metastases from Colorectal Cancer: Risk Factors, Incidence, and the Possible Role of Chemokines by Mongan, John P, Fadul, Camilo E, Cole, Bernard F, Zaki, Bassem I, Suriawinata, Arief A, Ripple, Gregory H, Tosteson, Tor D, Pipas, J. Marc

“…Abstract Background Brain metastases from colorectal cancer (CRC) are uncommon. There has been relatively little published on the host and tumor factors that…”
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Antegrade ultrasound contrast injection facilitates accurate nephrostomy tube positioning during percutaneous nephrolithotomy by Usawachintachit, Manint, Tzou, David T, Mongan, John, Weinstein, Stefanie, Chi, Thomas

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Brain metastases from colorectal cancer: risk factors, incidence, and the possible role of chemokines by Mongan, John P, Fadul, Camilo E, Cole, Bernard F, Zaki, Bassem I, Suriawinata, Arief A, Ripple, Gregory H, Tosteson, Tor D, Pipas, J Marc

“…Brain metastases from colorectal cancer (CRC) are uncommon. There has been relatively little published on the host and tumor factors that might lead to this…”
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Programming Interviews Exposed: Secrets to Landing Your Next Job by Mongan, John, Giguere, Eric, Kindler, Noah

“…Be prepared for your next job interview with this tried-and-true adviceIn today's tight job market, competition for programming jobs is hotter than ever. This…”
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TotalSegmentator: A Gift to the Biomedical Imaging Community by Sebro, Ronnie, Mongan, John

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