Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Ruhani, Doda Khera"'
Autor:
Hanqing Chao, Hongming Shan, Fatemeh Homayounieh, Ramandeep Singh, Ruhani Doda Khera, Hengtao Guo, Timothy Su, Ge Wang, Mannudeep K. Kalra, Pingkun Yan
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
Low dose computed tomography (LDCT) for lung cancer screening offers an opportunity for simultaneous CVD risk estimation in at-risk patients. Here, the authors develop a deep learning model to perform this task, showing human-level performance.
Externí odkaz:
https://doaj.org/article/95de7da9fa1641daa7bb2a30bce80781
Autor:
Anand K. Narayan, Huda Al-Naemi, Antar Aly, Mohammad Hassan Kharita, Ruhani Doda Khera, Mohamad Hajaj, Madan M. Rehani
Publikováno v:
European Journal of Breast Health, Vol 16, Iss 2, Pp 124-128 (2020)
Objective:Compared with other countries in the Middle East, Qatar has one of the highest breast cancer incidence and mortality rates. Poor quality mammography images may be associated with advanced stage breast cancer, however there is limited inform
Externí odkaz:
https://doaj.org/article/61bf5d48456e4d42bf3bfc8b5009fc4b
Autor:
Ruhani Doda Khera, Ramandeep Singh, Fatemeh Homayounieh, Evan Stone, Travis Redel, Cristy A. Savage, Katherine Stockton, Jo-Anne O. Shepard, Mannudeep K. Kalra, Subba R. Digumarthy
Publikováno v:
Scientific Reports, Vol 9, Iss 1, Pp 1-7 (2019)
Abstract We hypothesized that clinical process improvement strategies can reduce frequency of motion artifacts and expiratory phase scanning in chest CT. We reviewed 826 chest CT to establish the baseline frequency. Per clinical process improvement g
Externí odkaz:
https://doaj.org/article/6dad2e01a6444cd4812eab9416130e4b
Autor:
Azadeh Tabari, Singh Ramandeep, Ruhani Doda Khera, Yiemeng Hoi, Erin Angel, Mannudeep K. Kalra, Rachna Madan
Publikováno v:
European Journal of Radiology Open, Vol 6, Iss , Pp 225-230 (2019)
Objective: We assessed the effect of the forward projected model-based reconstruction technique (FIRST) on lesion detection of routine abdomen CT at 25.8 kg/m2. Diagnostic confidence for lesion assessment was optimal in LD-FIRST-STD setting in most p
Externí odkaz:
https://doaj.org/article/4959e3a3b7a74aef9b5afc84449629d8
Publikováno v:
Magnetic Resonance Imaging Clinics of North America. 30:553-563
MRI is a vital examination in the emergency department, especially in patients with stroke, spinal cord compression, cardiovascular emergencies, appendicitis, and trauma. It is important to consider its underlying safety hazards because of its strong
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce376274e985886cda58dfb43d570843
https://doi.org/10.1016/j.mric.2022.04.011
https://doi.org/10.1016/j.mric.2022.04.011
Autor:
Ju Hyun Park, Subba R. Digumarthy, Mannudeep K. Kalra, Hyunsuk Yoo, Hye Joung Eom, Chiara Arru, Sang Hyup Lee, Do Hoon Kim, Ruhani Doda Khera, Sean M. Siebert, Yuna Lee, Ramandeep Singh
Publikováno v:
European Radiology. 31:9664-9674
Assess if deep learning–based artificial intelligence (AI) algorithm improves reader performance for lung cancer detection on chest X-rays (CXRs). This reader study included 173 images from cancer-positive patients (n = 98) and 346 images from canc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46c650f498331bdcd3dc7024135483b8
https://doi.org/10.1007/s00330-021-08074-7
https://doi.org/10.1007/s00330-021-08074-7
Autor:
Matthias Mitschke, Shadi Ebrahimian, Mathis Zimmermann, Rosa Babaei, Felix Durlak, Bernardo Bizzo, Varun Buch, Mannudeep K. Kalra, Fatemeh Homayounieh, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Subba R. Digumarthy, Ruhani Doda Khera, Iman Mohseni, Franziska Rauch, Hadi Karimi Mobin
Publikováno v:
Journal of Digital Imaging
To perform a multicenter assessment of the CT Pneumonia Analysis prototype for predicting disease severity and patient outcome in COVID-19 pneumonia both without and with integration of clinical information. Our IRB-approved observational study inclu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8ac7cb6ac80f385c6dc5808894e5c23
http://europepmc.org/articles/PMC7906242
http://europepmc.org/articles/PMC7906242
Autor:
Ruhani Doda Khera, Bernardo Bizzo, Bernhard Schmidt, Shadi Ebrahimian, Mannudeep K. Kalra, Andrew N. Primak, Fatemeh Homayounieh, Sanjay Saini
Publikováno v:
Abdominal Radiology (New York)
Purpose To assess if autosegmentation-assisted radiomics can predict disease burden, hydronephrosis, and treatment strategies in patients with renal calculi. Methods The local ethical committee-approved, retrospective study included 202 adult patient
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9087a3af09f803f08a6157a6cd06fa1
http://europepmc.org/articles/PMC7690335
http://europepmc.org/articles/PMC7690335
Autor:
Fatemeh Homayounieh, Sanjay Saini, Ramandeep Singh, Mannudeep K. Kalra, Michael Sühling, Thomas Flohr, Bernhard Schmidt, Ruhani Doda Khera, Leila Mostafavi
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery. 15:1727-1736
Radiomics help move cross-sectional imaging into the domain of quantitative imaging to assess the lesions, their stoma as well as in their temporal monitoring. We applied and assessed the accuracy of radiomics for differentiating healthy liver from d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::009a55947cf959a0d554af8b496d6535
https://doi.org/10.1007/s11548-020-02212-0
https://doi.org/10.1007/s11548-020-02212-0
Autor:
Sherief Garrana, Chayanin Nitiwarangkul, Mannudeep K. Kalra, Matthew D. Gilman, Fatemeh Homayounieh, Jennifer A Febbo, Subba R. Digumarthy, Ramandeep Singh, Ruhani Doda Khera
Publikováno v:
Canadian Association of Radiologists Journal. 72:519-524
Purpose: To assess and compare detectability of pneumothorax on unprocessed baseline, single-energy, bone-subtracted, and enhanced frontal chest radiographs (chest X-ray, CXR). Method and Materials: Our retrospective institutional review board–appr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9f7a670c51e1fb7cb3169c6e6a563e1
https://doi.org/10.1177/0846537120908852
https://doi.org/10.1177/0846537120908852