11 citations · 31 across the 7 of their papers we have counts for
8 papers
MS-DKC: A Dataset Knowledge Card Framework for Designing and Adapting Medical Image Segmentation Models
Tariq M. Khan, Syed Saud Naqvi, Thantrira Porntaveetus +4
Medical image segmentation is often framed as a search for stronger architectures, but this can obscure a more fundamental question: what does the dataset require from the model? I…
Enhancing Monte Carlo Dropout Performance for Uncertainty Quantification
Hamzeh Asgharnezhad, Afshar Shamsi, Roohallah Alizadehsani +2
Knowing the uncertainty associated with the output of a deep neural network is of paramount importance in making trustworthy decisions, particularly in high-stakes fields like medi…
Advancing Medical Image Segmentation with Mini-Net: A Lightweight Solution Tailored for Efficient Segmentation of Medical Images
Syed Javed, Tariq M. Khan, Abdul Qayyum +3
Accurate segmentation of anatomical structures and abnormalities in medical images is crucial for computer-aided diagnosis and analysis. While deep learning techniques excel at thi…
Empowering Precision Medicine: AI-Driven Schizophrenia Diagnosis via EEG Signals: A Comprehensive Review from 2002-2023
Mahboobeh Jafari, Delaram Sadeghi, Afshin Shoeibi +6
Schizophrenia (SZ) is a prevalent mental disorder characterized by cognitive, emotional, and behavioral changes. Symptoms of SZ include hallucinations, illusions, delusions, lack o…
Revolutionizing Genomics with Reinforcement Learning Techniques
Mohsen Karami, Khadijeh Jahanian, Khadijeh +10
In recent years, Reinforcement Learning (RL) has emerged as a powerful tool for solving a wide range of problems, including decision-making and genomics. The exponential growth of…
Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic Resonance Imaging Using Deep Learning Models: A Review
Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars +11
In recent years, cardiovascular diseases (CVDs) have become one of the leading causes of mortality globally. CVDs appear with minor symptoms and progressively get worse. The majori…
Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence
Mahboobeh Jafari, Afshin Shoeibi, Navid Ghassemi +9
Myocarditis is a significant cardiovascular disease (CVD) that poses a threat to the health of many individuals by causing damage to the myocardium. The occurrence of microbes and…
Deep Learning in Spatially Resolved Transcriptomics: A Comprehensive Technical View
Roxana Zahedi Nasab, Mohammad Reza Eftekhariyan Ghamsari, Ahmadreza Argha +6
Spatially resolved transcriptomics (SRT) has evolved rapidly through various technologies, enabling scientists to investigate both morphological contexts and gene expression profil…