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One or more keywords matched the following properties of Niazi, Muhammad Khalid Khan
keywords Digital pathology, deep learning, machine learning, computed aided diagnosis, image analysis
keywords Computational pathology, deep learning
One or more keywords matched the following items that are connected to Niazi, Muhammad Khalid Khan
Item TypeName
Concept Artificial Intelligence
Academic Article Lung necrosis and neutrophils reflect common pathways of susceptibility to Mycobacterium tuberculosis in genetically diverse, immune-competent mice.
Academic Article Histopathological image analysis for centroblasts classification through dimensionality reduction approaches.
Academic Article Identifying tumor in pancreatic neuroendocrine neoplasms from Ki67 images using transfer learning.
Academic Article DeepFocus: Detection of out-of-focus regions in whole slide digital images using deep learning.
Academic Article Digital pathology and artificial intelligence.
Award or Honor Receipt Best paper award
Academic Article Ros-NET: A deep convolutional neural network for automatic identification of rosacea lesions.
Academic Article OtoMatch: Content-based eardrum image retrieval using deep learning.
Academic Article Semantic segmentation to identify bladder layers from H&E Images.
Academic Article Velocity-image model for online signature verification.
Academic Article Automatic discovery of clinically interpretable imaging biomarkers for Mycobacterium tuberculosis supersusceptibility using deep learning.
Grant Development of machine learning algorithms to predict difficult airway management
Grant A Deep Learning Approach to Measure the Histological Similarity Between Real and Regenerated Tissue Sections
Grant Improving the Diagnosis of Obstructive Sleep Apnea Through Deep Learning.
Academic Article Deep learning predicts gene expression as an intermediate data modality to identify susceptibility patterns in Mycobacterium tuberculosis infected Diversity Outbred mice.
Academic Article Identification of difficult to intubate patients from frontal face images using an ensemble of deep learning models.
Academic Article Contrastive Multiple Instance Learning: An Unsupervised Framework for Learning Slide-Level Representations of Whole Slide Histopathology Images without Labels.
Academic Article Attention2majority: Weak multiple instance learning for regenerative kidney grading on whole slide images.
Search Criteria
  • Artificial Intelligence
  • Deep
  • Learning Machine
  • Learning