Imran Qureshi on Muck Rack

Imran Qureshi

New Delhi
As seen in: BBC News, Dailymotion, G1 Globo, Medium, MSN, MSN Singapore, Yahoo Entertainment, Yahoo Life, BBC, BBC Mundo, Nature and
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Articles

An explainable multi-stage framework for brain tumor classification using hybrid feature fusion and EfficientNetB5 model

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By Imran Qureshi, Muhammad Sajid, Ayman Youssef, Muhammad Hamid, Qaisar Abbas, Rashid Jan, Mostafa Ibrahim, Yazeed Alobaidan
| Nature
Abstract Accurate recognition and classification of severity level of brain tumor (BT) is essential for clinical decision making. Manual assessment of brain tumor is a laborious and time consuming task for Experts. Existing deep learning (DL) models have been shown promising classification accuracy with limited features diversity.
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A gated task-attentive multi-task network for unified retinal image analysis

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By Muhammad Sajid, Imran Qureshi, Muhammad Hamid, Shrooq Alsenan, Qaisar Abbas, Yongwon Cho, Mohammad Alhefdi
| Nature
Abstract Diabetic retinopathy (DR) is one of the major causes of preventable blindness in the world, and accurate large-scale screening tools are needed urgently. Most of the deep learning methods which have been developed for retinal image analysis are treating tasks like optic disc segmentation and DR grading separately. This separation is making it difficult for the model to use the shared anatomical and contextual cues which are linking the two tasks.
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Mol075 DUCTOPENIA WITH THREE POSSIBLE CULPRITS: A COMPLEX PRESENTATION OF VANISHING BILE DUCT SYNDROME

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By Paul J. Gaglio, Steven C. Rella, Imran Qureshi
| Gastrointestinal Endoscopy
Also available on ScienceDirect
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