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20112026
most citedAutomatic Colon Polyp Detection using Region based Deep CNN and Post Learning Approaches

222 citations · 541 across the 24 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

eess.SP2023

Design and Implementation of a Hybrid Wireless Power and Communication System for Medical Implants

A. Khaleghi, A. Hasanvand, I. Balasingham

Data collection and analysis from multiple implant nodes in humans can provide targeted medicine and treatment strategies that can prevent many chronic diseases. This data can be c…

eess.SP2023

A Multi-channel EEG Data Analysis for Poor Neuro-prognostication in Comatose Patients with Self and Cross-channel Attention Mechanism

Hemin Ali Qadir, Naimahmed Nesaragi, Per Steiner Halvorsen +1

This work investigates the predictive potential of bipolar electroencephalogram (EEG) recordings towards efficient prediction of poor neurological outcomes. A retrospective design…

cs.CV2023

Multimodal Deep Learning for Personalized Renal Cell Carcinoma Prognosis: Integrating CT Imaging and Clinical Data

Maryamalsadat Mahootiha, Hemin Ali Qadir, Jacob Bergsland +1

Renal cell carcinoma represents a significant global health challenge with a low survival rate. This research aimed to devise a comprehensive deep-learning model capable of predict…

cs.CV2023★ 4 cited

Accurate Real-time Polyp Detection in Videos from Concatenation of Latent Features Extracted from Consecutive Frames

Hemin Ali Qadir, Younghak Shin, Jacob Bergsland +1

An efficient deep learning model that can be implemented in real-time for polyp detection is crucial to reducing polyp miss-rate during screening procedures. Convolutional neural n…

eess.SP2023

Non-invasive Waveform Analysis for Emergency Triage via Simulated Hemorrhage: An Experimental Study using Novel Dynamic Lower Body Negative Pressure Model

Naimahmed Nesaragi, Lars Øivind Høiseth, Hemin Ali Qadir +3

The extent to which advanced waveform analysis of non-invasive physiological signals can diagnose levels of hypovolemia remains insufficiently explored. The present study explores…