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Results: 1-8 |
Results: 8
AN ARTIFICIAL INTELLIGENT DIAGNOSTIC SYSTEM ON DIFFERENTIAL RECOGNITION OF HEMATOPOIETIC-CELLS FROM MICROSCOPIC IMAGES
Authors: BEKSAC M BEKSAC MS TIPI VB DURU HA KARAKAS MU CAKAR AN
Citation: M. Beksac et al., AN ARTIFICIAL INTELLIGENT DIAGNOSTIC SYSTEM ON DIFFERENTIAL RECOGNITION OF HEMATOPOIETIC-CELLS FROM MICROSCOPIC IMAGES, Cytometry, 30(3), 1997, pp. 145-150
AN AUTOMATED INTELLIGENT DIAGNOSTIC SYSTEM FOR THE INTERPRETATION OF UMBILICAL ARTERY DOPPLER VELOCIMETRY
Authors: BEKSAC MS EGEMEN A IZZETOGLU K ERGUN G ERKMEN AM
Citation: Ms. Beksac et al., AN AUTOMATED INTELLIGENT DIAGNOSTIC SYSTEM FOR THE INTERPRETATION OF UMBILICAL ARTERY DOPPLER VELOCIMETRY, European journal of radiology, 23(2), 1996, pp. 162-167
A COMPUTERIZED DIAGNOSTIC SYSTEM FOR THE INTERPRETATION OF UMBILICAL ARTERY BLOOD-FLOW VELOCITY WAVE-FORMS
Authors: BEKSAC MS BASARAN F ESKIIZMIRLILER S ERKMEN AM YORUKAN S
Citation: Ms. Beksac et al., A COMPUTERIZED DIAGNOSTIC SYSTEM FOR THE INTERPRETATION OF UMBILICAL ARTERY BLOOD-FLOW VELOCITY WAVE-FORMS, European journal of obstetrics, gynecology, and reproductive biology, 64(1), 1996, pp. 37-42
FEATURE DISCOVERY AND CLASSIFICATION OF DOPPLER UMBILICAL ARTERY BLOOD-FLOW VELOCITY WAVE-FORMS
Authors: BAYKAL N REGGIA JA YALABIK N ERKMEN A BEKSAC MS
Citation: N. Baykal et al., FEATURE DISCOVERY AND CLASSIFICATION OF DOPPLER UMBILICAL ARTERY BLOOD-FLOW VELOCITY WAVE-FORMS, Computers in biology and medicine, 26(6), 1996, pp. 451-462
AN ARTIFICIAL INTELLIGENT DIAGNOSTIC SYSTEM WITH NEURAL NETWORKS TO DETERMINE GENETIC-DISORDERS AND FETAL HEALTH BY USING MATERNAL SERUM MARKERS
Authors: BEKSAC MS DURAK B OZKAN O CAKAR AN BALCI S KARAKAS U LALELI Y
Citation: Ms. Beksac et al., AN ARTIFICIAL INTELLIGENT DIAGNOSTIC SYSTEM WITH NEURAL NETWORKS TO DETERMINE GENETIC-DISORDERS AND FETAL HEALTH BY USING MATERNAL SERUM MARKERS, European journal of obstetrics, gynecology, and reproductive biology, 59(2), 1995, pp. 131-136
INTERPRETATION OF DOPPLER BLOOD-FLOW VELOCITY WAVE-FORMS USING NEURALNETWORKS
Authors: BAYKAL N REGGIA JA YALABIK N ERKMEN A BEKSAC MS
Citation: N. Baykal et al., INTERPRETATION OF DOPPLER BLOOD-FLOW VELOCITY WAVE-FORMS USING NEURALNETWORKS, Journal of the American Medical Informatics Association, 1994, pp. 865-869
CERUPLASMIN ACTIVITY, COPPER AND ZINC DETERMINATIONS IN PREDICTING THE PROGNOSIS OF THREATENED-ABORTION
Authors: OZGUNES H BEKSAC MS ATAC FB INMEZ S SAKA O KAYAKIRILMAZ K DURU S
Citation: H. Ozgunes et al., CERUPLASMIN ACTIVITY, COPPER AND ZINC DETERMINATIONS IN PREDICTING THE PROGNOSIS OF THREATENED-ABORTION, Trace elements in medicine, 11(3), 1994, pp. 139-142
AN ARTIFICIAL INTELLIGENT DIAGNOSTIC SYSTEM ON DIFFERENTIAL RECOGNITION OF HEMATOPOIETIC-CELLS FROM MICROSCOPIC IMAGES
Authors: BEKSAC M TIPI VB DURU HA BEKSAC MS KARAKAS U CAKAR N
Citation: M. Beksac et al., AN ARTIFICIAL INTELLIGENT DIAGNOSTIC SYSTEM ON DIFFERENTIAL RECOGNITION OF HEMATOPOIETIC-CELLS FROM MICROSCOPIC IMAGES, Blood, 84(10), 1994, pp. 10000563-10000563
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