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Permanent URI for this collectionhttps://hdl.handle.net/11443/932

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Author: search.filters.author.Karaarslan, ErcanHas files: Yes

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Now showing 1 - 6 of 6
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    A joint convolutional-recurrent neural network with an attention mechanism for detecting intracranial hemorrhage on noncontrast head CT
    (NATURE PORTFOLIO, 2022-01-01) Alis, Deniz; Alis, Ceren; Yergin, Mert; Topel, Cagdas; Asmakutlu, Ozan; Bagcilar, Omer; Senli, Yeseren Deniz; Ustundag, Ahmet; Salt, Vefa; Dogan, Sebahat Nacar; Velioglu, Murat; Selcuk, Hakan Hatem; Kara, Batuhan; Ozer, Caner; Oksuz, Ilkay; Kizilkilic, Osman; Karaarslan, Ercan
    To investigate the performance of a joint convolutional neural networks-recurrent neural networks (CNN-RNN) using an attention mechanism in identifying and classifying intracranial hemorrhage (ICH) on a large multi-center dataset
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    Inter-vendor performance of deep learning in segmenting acute ischemic lesions on diffusion-weighted imaging: a multicenter study
    (NATURE PORTFOLIO, 2021-01-01) Alis, Deniz; Yergin, Mert; Alis, Ceren; Topel, Cagdas; Asmakutlu, Ozan; Bagcilar, Omer; Senli, Yeseren Deniz; Ustundag, Ahmet; Salt, Vefa; Dogan, Sebahat Nacar; Velioglu, Murat; Selcuk, Hakan Hatem; Kara, Batuhan; Oksuz, Ilkay; Kizilkilic, Osman; Karaarslan, Ercan
    There is little evidence on the applicability of deep learning (DL) in the segmentation of acute ischemic lesions on diffusion-weighted imaging (DWI) between magnetic resonance imaging (MRI) scanners of different manufacturers. We retrospectively included DWI data of patients with acute ischemic lesions from six centers. Dataset A (n=2986) and B (n=3951) included data from Siemens and GE MRI scanners, respectively. The datasets were split into the training (80\%), validation (10\%), and internal test (10\%) sets, and six neuroradiologists created ground-truth masks. Models A and B were the proposed neural networks trained on datasets A and B. The models subsequently fine-tuned across the datasets using their validation data. Another radiologist performed the segmentation on the test sets for comparisons. The median Dice scores of models A and B were 0.858 and 0.857 for the internal tests, which were non-inferior to the radiologist's performance, but demonstrated lower performance than the radiologist on the external tests. Fine-tuned models A and B achieved median Dice scores of 0.832 and 0.846, which were non-inferior to the radiologist's performance on the external tests. The present work shows that the inter-vendor operability of deep learning for the segmentation of ischemic lesions on DWI might be enhanced via transfer learning
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    Brain MRI Findings in Patients in the Intensive Care Unit with COVID-19 Infection
    (RADIOLOGICAL SOC NORTH AMERICA, 2020-01-01) Kandemirli, Sedat G.; Dogan, Lerzan; Sarikaya, Zeynep T.; Kara, Simay; Akinci, Canan; Kaya, Dilaver; Kaya, Yildiz; Yildirim, Duzgun; Tuzuner, Filiz; Yildirim, Mustafa S.; Ozluk, Enes; Gucyetmez, Bulent; Karaarslan, Ercan; Koyluoglu, Isil; Kaya, Hande S. Demirel; Mammadov, Orkhan; Ozdemir, Ilkay Kisa; Afsar, Nazire; Yalcinkaya, Beyza Citci; Rasimoglu, Sevdinaz; Guduk, Duygu E.; Jima, Ararso Kedir; Ilksoz, Aylin; Ersoz, Vildan; Eren, Meltem Yonca; Celtik, Nilufer; Arslan, Serdar; Korkmazer, Bora; Dincer, Saban S.; Gulek, Elif; Dikmen, Ibrahim; Yazici, Murathan; Unsal, Serkan; Ljama, Taner; Demirel, Ismail; Ayyildiz, Aykut; Kesimci, Isil; Deveci, Sahika Bolsoy; Tutuncu, Melih; Kizilkilic, Osman; Telci, Lutfi; Zengin, Rehile; Dincer, Alp; Akinci, Ibrahim O.; Kocer, Naci
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    Giant Extraarticular Pigmented Villonodular Tenosynovitis
    (GALENOS PUBL HOUSE, 2013-01-01) Ulus, Sila; Karaarslan, Ercan; Ozger, Harzem; Alpan, Bugra; Bilgic, Bilge
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    A rare case of paratesticular leiomyoma in a child
    (AVES, 2019-01-01) Arslan, Aydan; Ulus, Sila; Ince, Umit; Tekant, Gonca; Karaarslan, Ercan
    Leiomyomas are benign, slow-growing, smooth muscle tumors, which can occur at many locations in the body. The male genitourinary tract is seldom affected and scrotal leiomyomas are extremely rare. Most of the scrotal leiomyomas are localized in the testis, epididymis, spermatic cord, subcutaneous tissue, tunica albuginea, and scrotal skin and only a few of them are reported in the origin of isolated tissue without paratesticular structures in the paratesticular region. We are presenting a case of solitary paratesticular leiomyoma in a child, which is very rare in terms of lesion location and patient age, and describing the imaging features of this lesion.
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    A Review on Cutaneous and Musculoskeletal Manifestations of CLOVES Syndrome
    (DOVE MEDICAL PRESS LTD, 2022-01-01) Durmaz, Emel Ozturk; Demircioglu, Deniz; Dikmen, Pinar Yalinay; Alanay, Yasemin; Alanay, Ahmet; Demirkesen, Cuyan; Tokat, Fatma; Karaarslan, Ercan
    CLOVES syndrome is a novel sporadic mosaic segmental overgrowth syndrome, currently categorized under the canopy of PROS (PIK3CA-related overgrowth spectrum) disorders. All PROS disorders harbor heterozygous postzygotic activating somatic mutations involving the PIK3CA gene. As an upstream regulator of the PI3K/AKT/mTOR signal transduction pathway, activating mutations of PIK3CA gene commence in uncontrolled growth of cutaneous, vascular (capillaries, veins, and lymphatics), adipose, neural, and musculoskeletal tissues. The excessive growth is segmental, patchy, asymmetric, and confined to body parts affected by the mutation. The term `CLOVES' is an acronym denoting congenital lipomatous overgrowth, vascular malformations, epidermal nevi and spinal (scoliosis) and/ or skeletal anomalies. The syndrome is characterized by an admixture of overgrown tissues, derived mainly from mesoderm and neuroectoderm. Among PROS disorders, CLOVES syndrome represents the extreme end of the spectrum with massive affection of almost the entire body. The syndrome might judiciously be treated with medications hampering with the PI3K/AKT/mTOR signal transduction pathway. This article aims at reviewing the cutaneous and musculoskeletal manifestations of CLOVES syndrome, as the paradigm for PROS disorders. CLOVES syndrome and other PROS disorders are still misdiagnosed, underdiagnosed, underreported, and undertreated by the dermatology community.