Search Results - "Raicu, Daniela S."

Automatic extraction of informal topics from online suicidal ideation by Grant, Reilly N, Kucher, David, León, Ana M, Gemmell, Jonathan F, Raicu, Daniela S, Fodeh, Samah J

“…Suicide is an alarming public health problem accounting for a considerable number of deaths each year worldwide. Many more individuals contemplate suicide…”
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Characterizing the role of a high-volume cancer resection ecosystem on low-volume, high-quality surgical care by Kothari, Anai N., MD, MS, Blanco, Barbara A., MD, Brownlee, Sarah A., BA, Evans, Ann E., MD, Chang, Victor A., BA, Abood, Gerard J., MD, Settimi, Raffaella, PhD, Raicu, Daniela S., PhD, Kuo, Paul C., MD, MS, MBA

“…Background Our objective was to determine the hospital resources required for low-volume, high-quality care at high-volume cancer resection centers. Methods…”
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Ontology-Based Radiology Teaching File Summarization, Coverage, and Integration by Deshpande, Priya, Rasin, Alexander, Son, Jun, Kim, Sungmin, Brown, Eli, Furst, Jacob, Raicu, Daniela S., Montner, Steven M., Armato, Samuel G.

“…Radiology teaching file repositories contain a large amount of information about patient health and radiologist interpretation of medical findings. Although…”
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Assessing diagnostic complexity: An image feature-based strategy to reduce annotation costs by Zamacona, Jose R, Niehaus, Ronald, Rasin, Alexander, Furst, Jacob D, Raicu, Daniela S

“…Abstract Computer-aided diagnosis systems can play an important role in lowering the workload of clinical radiologists and reducing costs by automatically…”
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Mapping LIDC, RadLex™, and Lung Nodule Image Features by Opulencia, Pia, Channin, David S., Raicu, Daniela S., Furst, Jacob D.

“…Ideally, an image should be reported and interpreted in the same way (e.g., the same perceived likelihood of malignancy) or similarly by any two radiologists;…”
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Consensus Versus Disagreement in Imaging Research: a Case Study Using the LIDC Database by Zinovev, Dmitriy, Duo, Yujie, Raicu, Daniela S., Furst, Jacob, Armato, Samuel G.

“…Traditionally, image studies evaluating the effectiveness of computer-aided diagnosis (CAD) use a single label from a medical expert compared with a single…”
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Applying Association Rule Mining to Semantic Data in the Lung Image Database Consortium by Kennedy, Brendan, Carrazza, Miguel, Rasin, Alex, Furst, Jacob, Raicu, Daniela S.

“…The detection and diagnosis of lung cancer has been shown to dramatically increase the survival rate of lung cancer patients. Computer Aided Diagnosis (CAD)…”
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Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets by Heimann, T., van Ginneken, B., Styner, M.A., Arzhaeva, Y., Aurich, V., Bauer, C., Beck, A., Becker, C., Beichel, R., Bekes, G., Bello, F., Binnig, G., Bischof, H., Bornik, A., Cashman, P., Ying Chi, Cordova, A., Dawant, B.M., Fidrich, M., Furst, J.D., Furukawa, D., Grenacher, L., Hornegger, J., Kainmuller, D., Kitney, R.I., Kobatake, H., Lamecker, H., Lange, T., Jeongjin Lee, Lennon, B., Rui Li, Senhu Li, Meinzer, H.-P., Nemeth, G., Raicu, D.S., Rau, A.-M., van Rikxoort, E.M., Rousson, M., Rusko, L., Saddi, K.A., Schmidt, G., Seghers, D., Shimizu, A., Slagmolen, P., Sorantin, E., Soza, G., Susomboon, R., Waite, J.M., Wimmer, A., Wolf, I.

“…This paper presents a comparison study between 10 automatic and six interactive methods for liver segmentation from contrast-enhanced CT images. It is based on…”
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BRISC-an open source pulmonary nodule image retrieval framework by Lam, Michael O, Disney, Tim, Raicu, Daniela S, Furst, Jacob, Channin, David S

“…We have created a content-based image retrieval framework for computed tomography images of pulmonary nodules. When presented with a nodule image, the system…”
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Single Organ Segmentation Filters for Multiple Organ Segmentation by Furst, J.D., Susomboom, R., Raicu, D.S.

“…In this paper, we propose an approach for automatic organ segmentation in computed tomography (CT) data. The approach consists of applying multiple single…”
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Consensus Versus Disagreement in Imaging Research: a Case Study Using the LIDC Database by Zinovev, Dmitriy, Duo, Yujie, Raicu, Daniela S., Furst, Jacob, Armato, Samuel G.

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A statistical analysis of the effects of CT acquisition parameters on low-level features extracted from CT images of the lung by Wantroba, J.S., Raicu, D.S., Furst, J.D.

“…We propose a solution for automatic classification of lung nodules in an environment with heterogeneous computed tomography (CT) acquisition parameters. Such a…”
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Big Data Integration Case Study for Radiology Data Sources by Deshpande, Priya, Rasin, Alexander, Brown, Eli, Furst, Jacob, Raicu, Daniela S., Montner, Steven M., Armato, Samuel G.

“…Today's digitized world urgently needs Big Data integration and analysis. Healthcare records are responsible for generating petabytes of data in a single day…”
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Synthetic Sampling for Multi-Class Malignancy Prediction by Yung, Matthew, Brown, Eli T, Rasin, Alexander, Furst, Jacob D, Raicu, Daniela S

“…We explore several oversampling techniques for an imbalanced multi-label classification problem, a setting often encountered when developing models for…”
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Towards Achieving Diagnostic Consensus in Medical Image Interpretation by Seidel, Mike, Rasin, Alexander, Furst, Jacob D., Raicu, Daniela S.

“…The workload associated with the daily job of a clinical radiologist has been steadily increasing as the volume of the archived and the newly acquired images…”
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A classification approach for anatomical regions segmentation by Kalinin, M., Raicu, D.S., Furst, J.D., Channin, D.S.

“…In this paper, a supervised pixel-based classifier approach for segmenting different anatomical regions in abdominal computed tomography (CT) studies is…”
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Reducing Classification Cost through Strategic Annotation Assignment by Zamacona, Jose R., Rasin, Alexander, Furst, Jacob D., Raicu, Daniela S.

“…The problem of classifying samples for which there is no definite label is a challenging one in which multiple annotators will provide a more certain input for…”
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