Search Results - "Zinovev, Dmitriy"

Predicting Radiological Panel Opinions Using a Panel of Machine Learning Classifiers by Zinovev, Dmitriy, Raicu, Daniela, Furst, Jacob, Armato III, Samuel G.

“…This paper uses an ensemble of classifiers and active learning strategies to predict radiologists’ assessment of the nodules of the Lung Image Database…”
Get full text

P1075CONTROL AND MONITORING OF DIAGNOSTIC AND TREATMENT PROCESS IN HEMODIALYSIS CLINIC USING TELEMEDICINE TOOLS by Zinovev, Dmitriy, Novitskiy, Vladimir, Malkoch, Andrey

“…Abstract Background and Aims Quality of life of hemodialysis patients and adequacy of hemodialysis therapy in general, is defined by the number and duration of…”
Get full text

P1393A SYSTEM FOR FORECASTING OF DRUG DOSAGE FOR BONE MINERAL DISORDERS CORRECTION IN PATIENTS ON CHRONIC DIALYSIS by Zinovev, Dmitriy, Novitskiy, Vladimir, Malkoch, Andrey

“…Abstract Background and Aims Bone and mineral disorders (BMD) is a common complication of CKD in patients on chronic dialysis. Timely and adequate correction…”
Get full text

P1380A SYSTEM FOR FORECASTING OF DRUG DOSAGE FOR ANEMIA CORRECTION IN PATIENTS ON CHRONIC DIALYSIS by Zinovev, Dmitriy, Novitskiy, Vladimir, Malkoch, Andrey

“…Abstract Background and Aims Anemia is a most common complication of CKD in patients on chronic dialysis. Adequacy of anemia correction directly affects both…”
Get full text

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.

Get full text

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…”
Get full text

Probabilistic lung nodule classification with belief decision trees by Zinovev, D., Feigenbaum, J., Furst, J., Raicu, D.

“…In reading Computed Tomography (CT) scans with potentially malignant lung nodules, radiologists make use of high level information (semantic characteristics)…”
Get full text

Building an Ensemble of Probabilistic Classifiers for Lung Nodule Interpretation by Zinovev, D., Furst, J., Raicu, D.

“…When examining Computed Tomography (CT) scans of lungs for potential abnormalities, radiologists make use of lung nodule's semantic characteristics during the…”
Get full text