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Incidentally detected perineal aggressive angiomyxoma in an asymptomatic patient with uterine leiomyomas.

Journal of obstetrics and gynaecology : the journal of the Institute of Obstetrics and Gynaecology

Altinmakas E, Dogan H, Temur M, Guneyli S.
PMID: 33632039
J Obstet Gynaecol. 2021 Oct;41(7):1178-1179. doi: 10.1080/01443615.2020.1849070. Epub 2021 Feb 26.

No abstract available.

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Altinmakas E, Dogan H, Temur M, et al. Incidentally detected perineal aggressive angiomyxoma in an asymptomatic patient with uterine leiomyomas. J Obstet Gynaecol. 2021;41(7):1178-1179doi: 10.1080/01443615.2020.1849070.
Altinmakas, E., Dogan, H., Temur, M., & Guneyli, S. (2021). Incidentally detected perineal aggressive angiomyxoma in an asymptomatic patient with uterine leiomyomas. Journal of obstetrics and gynaecology : the journal of the Institute of Obstetrics and Gynaecology, 41(7), 1178-1179. https://doi.org/10.1080/01443615.2020.1849070
Altinmakas, Emre, et al. "Incidentally detected perineal aggressive angiomyxoma in an asymptomatic patient with uterine leiomyomas." Journal of obstetrics and gynaecology : the journal of the Institute of Obstetrics and Gynaecology vol. 41,7 (2021): 1178-1179. doi: https://doi.org/10.1080/01443615.2020.1849070
Altinmakas E, Dogan H, Temur M, Guneyli S. Incidentally detected perineal aggressive angiomyxoma in an asymptomatic patient with uterine leiomyomas. J Obstet Gynaecol. 2021 Oct;41(7):1178-1179. doi: 10.1080/01443615.2020.1849070. Epub 2021 Feb 26. PMID: 33632039.
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Radiomic Signatures of Posterior Fossa Ependymoma: Molecular Subgroups and Risk Profiles.

Neuro-oncology

Zhang M, Wang E, Yecies D, Tam LT, Han M, Toescu S, Wright JN, Altinmakas E, Chen E, Radmanesh A, Nemelka J, Oztekin O, Wagner MW, Lober RM, Ertl-Wagner B, Ho CY, Mankad K, Vitanza NA, Cheshier SH, Jacques TS, Fisher PG, Aquilina K, Said M, Jaju A, Pfister S, Taylor MD, Grant GA, Mattonen S, Ramaswamy V, Yeom KW.
PMID: 34850171
Neuro Oncol. 2021 Nov 25; doi: 10.1093/neuonc/noab272. Epub 2021 Nov 25.

BACKGROUND: The risk profile for posterior fossa ependymoma (EP) depends on surgical and molecular status [Group A (PFA) versus Group B (PFB)]. While subtotal tumor resection is known to confer worse prognosis, MRI-based EP risk-profiling is unexplored. We aimed...

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Zhang M, Wang E, Yecies D, et al. Radiomic Signatures of Posterior Fossa Ependymoma: Molecular Subgroups and Risk Profiles. Neuro Oncol. 2021;doi: 10.1093/neuonc/noab272.
Zhang, M., Wang, E., Yecies, D., Tam, L. T., Han, M., Toescu, S., Wright, J. N., Altinmakas, E., Chen, E., Radmanesh, A., Nemelka, J., Oztekin, O., Wagner, M. W., Lober, R. M., Ertl-Wagner, B., Ho, C. Y., Mankad, K., Vitanza, N. A., Cheshier, S. H., Jacques, T. S., Fisher, P. G., Aquilina, K., Said, M., Jaju, A., Pfister, S., Taylor, M. D., Grant, G. A., Mattonen, S., Ramaswamy, V., & Yeom, K. W. (2021). Radiomic Signatures of Posterior Fossa Ependymoma: Molecular Subgroups and Risk Profiles. Neuro-oncology, . https://doi.org/10.1093/neuonc/noab272
Zhang, Michael, et al. "Radiomic Signatures of Posterior Fossa Ependymoma: Molecular Subgroups and Risk Profiles." Neuro-oncology vol. (2021). doi: https://doi.org/10.1093/neuonc/noab272
Zhang M, Wang E, Yecies D, Tam LT, Han M, Toescu S, Wright JN, Altinmakas E, Chen E, Radmanesh A, Nemelka J, Oztekin O, Wagner MW, Lober RM, Ertl-Wagner B, Ho CY, Mankad K, Vitanza NA, Cheshier SH, Jacques TS, Fisher PG, Aquilina K, Said M, Jaju A, Pfister S, Taylor MD, Grant GA, Mattonen S, Ramaswamy V, Yeom KW. Radiomic Signatures of Posterior Fossa Ependymoma: Molecular Subgroups and Risk Profiles. Neuro Oncol. 2021 Nov 25; doi: 10.1093/neuonc/noab272. Epub 2021 Nov 25. PMID: 34850171.
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Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest CT.

NPJ digital medicine

Lee EH, Zheng J, Colak E, Mohammadzadeh M, Houshmand G, Bevins N, Kitamura F, Altinmakas E, Reis EP, Kim JK, Klochko C, Han M, Moradian S, Mohammadzadeh A, Sharifian H, Hashemi H, Firouznia K, Ghanaati H, Gity M, Doğan H, Salehinejad H, Alves H, Seekins J, Abdala N, Atasoy Ç, Pouraliakbar H, Maleki M, Wong SS, Yeom KW.
PMID: 33514852
NPJ Digit Med. 2021 Jan 29;4(1):11. doi: 10.1038/s41746-020-00369-1.

The Coronavirus disease 2019 (COVID-19) presents open questions in how we clinically diagnose and assess disease course. Recently, chest computed tomography (CT) has shown utility for COVID-19 diagnosis. In this study, we developed Deep COVID DeteCT (DCD), a deep...

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Lee EH, Zheng J, Colak E, et al. Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest CT. NPJ Digit Med. 2021;4(1):11doi: 10.1038/s41746-020-00369-1.
Lee, E. H., Zheng, J., Colak, E., Mohammadzadeh, M., Houshmand, G., Bevins, N., Kitamura, F., Altinmakas, E., Reis, E. P., Kim, J. K., Klochko, C., Han, M., Moradian, S., Mohammadzadeh, A., Sharifian, H., Hashemi, H., Firouznia, K., Ghanaati, H., Gity, M., Doğan, H., Salehinejad, H., Alves, H., Seekins, J., Abdala, N., Atasoy, �. �., Pouraliakbar, H., Maleki, M., Wong, S. S., & Yeom, K. W. (2021). Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest CT. NPJ digital medicine, 4(1), 11. https://doi.org/10.1038/s41746-020-00369-1
Lee, Edward H, et al. "Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest CT." NPJ digital medicine vol. 4,1 (2021): 11. doi: https://doi.org/10.1038/s41746-020-00369-1
Lee EH, Zheng J, Colak E, Mohammadzadeh M, Houshmand G, Bevins N, Kitamura F, Altinmakas E, Reis EP, Kim JK, Klochko C, Han M, Moradian S, Mohammadzadeh A, Sharifian H, Hashemi H, Firouznia K, Ghanaati H, Gity M, Doğan H, Salehinejad H, Alves H, Seekins J, Abdala N, Atasoy Ç, Pouraliakbar H, Maleki M, Wong SS, Yeom KW. Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest CT. NPJ Digit Med. 2021 Jan 29;4(1):11. doi: 10.1038/s41746-020-00369-1. PMID: 33514852; PMCID: PMC7846563.
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An intrathyroidal nodule consisting of papillary thyroid cancer and ectopic hyperechoic parathyroid adenoma: a case report.

Medical ultrasonography

Guneyli S, Kabaalioglu A, Altinmakas E, Cil BE, Taskin OC, Ozisik S, Samadli V, Dogan H, Agcaoglu O.
PMID: 33793694
Med Ultrason. 2021 Apr 01; doi: 10.11152/mu-3019. Epub 2021 Apr 01.

A 53-year-old woman with fatigue lasting for 6 weeks and increased parathormone level underwent a neck ultrasound. It revealed a large, lobulated, solid intrathyroidal nodule consisting of hypoechoic component with microcalcifications and hy-perechoic component with vascularity on Doppler mode....

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Guneyli S, Kabaalioglu A, Altinmakas E, et al. An intrathyroidal nodule consisting of papillary thyroid cancer and ectopic hyperechoic parathyroid adenoma: a case report. Med Ultrason. 2021;doi: 10.11152/mu-3019.
Guneyli, S., Kabaalioglu, A., Altinmakas, E., Cil, B. E., Taskin, O. C., Ozisik, S., Samadli, V., Dogan, H., & Agcaoglu, O. (2021). An intrathyroidal nodule consisting of papillary thyroid cancer and ectopic hyperechoic parathyroid adenoma: a case report. Medical ultrasonography, . https://doi.org/10.11152/mu-3019
Guneyli, Serkan, et al. "An intrathyroidal nodule consisting of papillary thyroid cancer and ectopic hyperechoic parathyroid adenoma: a case report." Medical ultrasonography vol. (2021). doi: https://doi.org/10.11152/mu-3019
Guneyli S, Kabaalioglu A, Altinmakas E, Cil BE, Taskin OC, Ozisik S, Samadli V, Dogan H, Agcaoglu O. An intrathyroidal nodule consisting of papillary thyroid cancer and ectopic hyperechoic parathyroid adenoma: a case report. Med Ultrason. 2021 Apr 01; doi: 10.11152/mu-3019. Epub 2021 Apr 01. PMID: 33793694.
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The RSNA Pulmonary Embolism CT Dataset.

Radiology. Artificial intelligence

Colak E, Kitamura FC, Hobbs SB, Wu CC, Lungren MP, Prevedello LM, Kalpathy-Cramer J, Ball RL, Shih G, Stein A, Halabi SS, Altinmakas E, Law M, Kumar P, Manzalawi KA, Nelson Rubio DC, Sechrist JW, Germaine P, Lopez EC, Amerio T, Gupta P, Jain M, Kay FU, Lin CT, Sen S, Revels JW, Brussaard CC, Mongan J.
PMID: 33937862
Radiol Artif Intell. 2021 Jan 20;3(2):e200254. doi: 10.1148/ryai.2021200254. eCollection 2021 Mar.

Cite
Colak E, Kitamura FC, Hobbs SB, et al. The RSNA Pulmonary Embolism CT Dataset. Radiol Artif Intell. 2021;3(2):e200254doi: 10.1148/ryai.2021200254.
Colak, E., Kitamura, F. C., Hobbs, S. B., Wu, C. C., Lungren, M. P., Prevedello, L. M., Kalpathy-Cramer, J., Ball, R. L., Shih, G., Stein, A., Halabi, S. S., Altinmakas, E., Law, M., Kumar, P., Manzalawi, K. A., Nelson Rubio, D. C., Sechrist, J. W., Germaine, P., Lopez, E. C., Amerio, T., Gupta, P., Jain, M., Kay, F. U., Lin, C. T., Sen, S., Revels, J. W., Brussaard, C. C., Mongan, J. (2021). The RSNA Pulmonary Embolism CT Dataset. Radiology. Artificial intelligence, 3(2), e200254. https://doi.org/10.1148/ryai.2021200254
Colak, Errol, et al. "The RSNA Pulmonary Embolism CT Dataset." Radiology. Artificial intelligence vol. 3,2 (2021): e200254. doi: https://doi.org/10.1148/ryai.2021200254
Colak E, Kitamura FC, Hobbs SB, Wu CC, Lungren MP, Prevedello LM, Kalpathy-Cramer J, Ball RL, Shih G, Stein A, Halabi SS, Altinmakas E, Law M, Kumar P, Manzalawi KA, Nelson Rubio DC, Sechrist JW, Germaine P, Lopez EC, Amerio T, Gupta P, Jain M, Kay FU, Lin CT, Sen S, Revels JW, Brussaard CC, Mongan J. The RSNA Pulmonary Embolism CT Dataset. Radiol Artif Intell. 2021 Jan 20;3(2):e200254. doi: 10.1148/ryai.2021200254. eCollection 2021 Mar. PMID: 33937862; PMCID: PMC8043364.
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Showing 1 to 5 of 5 entries