Ahmet Muhteşem Ağıldere

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Differentiation of benign and malignant breast lesions on the basis of strain ratio cut-off value calculation by breast sonoelastography

Serdar Arslan Kemal Murat Haberal Nihal Uslu Tugan Tezcaner B. Handan Özdemir

Poster: ECR 2015 / C-0842 / Differentiation of benign and malignant breast lesions on the basis of strain ratio cut-off value calculation by breast sonoelastography by: S. Arslan, K. M. Haberal, N. Uslu, T. Tezcaner, H. Ozdemir, A. M. Agildere; Ankara/TR

Value (mathematics)

Strain (injury)

Source

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Citations (1)

Does renal function affect gadolinium deposition in the brain?

European Journal of Radiology (2018)

Feride Kural Rahatlı Fuldem Yıldırım Dönmez Seda Kibaroğlu Çağrı Kesim Kemal Murat Haberal

Dentate nucleus

Pons

10.1016/j.ejrad.2018.04.017

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Citations (16)

Value of computed tomography and magnetic resonance imaging for assessing severity of liver cirrhosis secondary to viral hepatitis

European Journal of Radiology (2004)

Özlem Saygılı Nefise Çağla Tarhan Tülin Yıldırım Ender Serin B. Özer

Viral Hepatitis

Liver disease

10.1016/j.ejrad.2004.08.001

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Citations (41)

Spinal Schwannoma Presenting With a Subdural Hemorrhage

Neurosurgery Quarterly (2013)

Fuldem Yıldırım Dönmez Feride Kural Rahatlı Özlem Özen Ahmet Muhteşem Ağıldere

Spinal subdural hemorrhage due to a schwannoma is very rare. In the conus medullaris region, ependymoma is the most common tumor to bleed; however, schwannoma may also cause it. Herein, we report a case of a spinal schwannoma presenting with subacute symptoms due to a subdural hematoma in the spinal canal.

Conus medullaris

Bleed

Ependymoma

Spinal cord tumor

10.1097/wnq.0b013e31828ccc39

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Citations (1)

Beyin Metastazlı Jinekolojik Kökenli Malignitelerde Prognostik Faktörlerin Analizi

DergiPark (Istanbul University) (2023)

Tahir Eryılmaz Hüseyin Akıllı Ali Ayhan Ahmet Muhteşem Ağıldere

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Citations (0)

Primary choriocarcinoma of the stomach and pancreas: CT findings

European Radiology (1998)

Mehmet Çoşkun Ahmet Muhteşem Ağıldere Fatih Boyvat Nefise Çağla Tarhan E. A. Niron

Neuroradiology

10.1007/s003300050567

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Citations (19)

Lumbar myxopapillary ependymoma mimicking neurofibroma

Spinal Cord (2001)

Murad Bavbek M. Nur Altinörs HH Caner Banu Bilezikçi Ahmet Muhteşem Ağıldere

Ependymoma

Presentation (obstetrics)

Filum terminale

Fecal Incontinence

Conus medullaris

10.1038/sj.sc.3101173

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Citations (18)

Intracranial calcification in children on computed tomography.

PubMed (1994)

Enis Erdem Ahmet Muhteşem Ağıldere Muzaffer Eryılmaz E Ozdirim

Pathological intracranial calcifications detected on computed tomography of 83 children during a six-year period were reviewed. The common causes in our series were tuberous sclerosis and intracranial tumors. Other conditions associated with calcification were Sturge-Weber syndrome, neurofibromatosis, Cockayne's syndrome, hypoparathyroidism, arteriovenous malformations, vein of Galen aneurysm, encephalomalacia, cerebral infarcts, subdural hematoma, cerebral infections, birth asphyxia and dihydropteridine reductase deficiency. In two cases (2%), calcifications were idiopathic. The distribution and location of the calcifications in these conditions are discussed.

Encephalomalacia

Porencephaly

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Citations (8)

Postpartum Sacral Stress Fracture

American Journal of Physical Medicine & Rehabilitation (2008)

Metin Karataş Ceyla Başaran Esra Özgül Nefise Çağla Tarhan Ahmet Muhteşem Ağıldere

Karataş M, Başaran C, Özgül E, Tarhan Ç, Ağildere AM: Postpartum sacral stress fracture: an unusual case of low-back and buttock pain. Am J Phys Med Rehabil 2008;87:418–422. Low-back and buttock pain is a common complaint during pregnancy and the postpartum period and is usually attributable to mechanical lesions of the pelvis. Sacral stress fractures are unusual but important causes that should be considered in differential diagnosis. To date, only eight postpartum sacral stress fractures have been reported in the literature. A 32-yr-old woman presented with low-back and right buttock pain that started 15 days after uneventful cesarean section delivery. Imaging studies revealed a right sacral stress fracture. Lumbar spine and femoral neck bone mineral density were normal and, except for pregnancy and lactation, no risk factors for osteoporosis were identified. There was no history of trauma, excessive weight gain, strenuous physical activity, or contribution of mechanical factors. The question remains whether this is an insufficiency fracture or a fatigue fracture. Clinicians should consider sacral fracture during pregnancy and the postpartum period as a diagnostic possibility in patients with low-back and/or buttock pain.

Insufficiency fracture

Stress Fractures

Back Pain

10.1097/phm.0b013e318164a8e6

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Citations (41)

Comparative Study for Tuberculosis Detection by Using Deep Learning

Büşra Kübra Karaca Selda Güney Berna Dengiz Ahmet Muhteşem Ağıldere

Tuberculosis (TB) is an infectious disease which becomes a significant health problem worldwide. Many people have been affected by this disease owing to deficiency of treatment and late or inaccuracy of diagnosis. Therefore, accurate and early diagnosis is the very major solution to checking and preventing the disease. A chest x-ray is a main diagnostic tool used to diagnose tuberculosis. This diagnostic method is limited by the availability of radiologists and the experience and skills of radiologists in reading x-rays. To overcome such a challenge, a computer-aided diagnosis (CAD) system is supposed for the radiologist to interpret chest x-ray images easily. In this study, a CAD system based upon transfer learning is developed for TB detection using Montgomery Country chest x-ray images. We used the VGG16, VGG19, DenseNet121, MobileNet, and InceptionV3 pre-trained CNN models to extract features automatically and used the Support Vector Machine (SVM) classifier to the detection of tuberculosis. Furthermore, data augmentation techniques were applied to boost the performance results. The proposed method performed the highest accuracy of 98.9% and area under the curve (AUC) of 1.00, respectively, with the DenseNet121 on augmented images.

Transfer of learning

Computer-Aided Diagnosis

10.1109/tsp52935.2021.9522634

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Citations (8)