Muhammad Khalid Khan Niazi to Image Processing, Computer-Assisted
This is a "connection" page, showing publications Muhammad Khalid Khan Niazi has written about Image Processing, Computer-Assisted.
Connection Strength
2.903
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Niazi MKK, Yazgan E, Tavolara TE, Li W, Lee CT, Parwani A, Gurcan MN. Semantic segmentation to identify bladder layers from H&E Images. Diagn Pathol. 2020 Jul 16; 15(1):87.
Score: 0.644
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Niazi MKK, Abas FS, Senaras C, Pennell M, Sahiner B, Chen W, Opfer J, Hasserjian R, Louissaint A, Shana'ah A, Lozanski G, Gurcan MN. Nuclear IHC enumeration: A digital phantom to evaluate the performance of automated algorithms in digital pathology. PLoS One. 2018; 13(5):e0196547.
Score: 0.553
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Niazi MKK, Tavolara TE, Arole V, Hartman DJ, Pantanowitz L, Gurcan MN. Identifying tumor in pancreatic neuroendocrine neoplasms from Ki67 images using transfer learning. PLoS One. 2018; 13(4):e0195621.
Score: 0.550
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Camalan S, Niazi MKK, Moberly AC, Teknos T, Essig G, Elmaraghy C, Taj-Schaal N, Gurcan MN. OtoMatch: Content-based eardrum image retrieval using deep learning. PLoS One. 2020; 15(5):e0232776.
Score: 0.159
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Tavolara TE, Niazi MKK, Arole V, Chen W, Frankel W, Gurcan MN. A modular cGAN classification framework: Application to colorectal tumor detection. Sci Rep. 2019 12 12; 9(1):18969.
Score: 0.154
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Niazi MKK, Lin Y, Liu F, Ashok A, Marcellin MW, Tozbikian G, Gurcan MN, Bilgin A. Pathological image compression for big data image analysis: Application to hotspot detection in breast cancer. Artif Intell Med. 2019 04; 95:82-87.
Score: 0.142
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Niazi MKK, Senaras C, Pennell M, Arole V, Tozbikian G, Gurcan MN. Relationship between the Ki67 index and its area based approximation in breast cancer. BMC Cancer. 2018 Sep 03; 18(1):867.
Score: 0.141
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Senaras C, Niazi MKK, Sahiner B, Pennell MP, Tozbikian G, Lozanski G, Gurcan MN. Optimized generation of high-resolution phantom images using cGAN: Application to quantification of Ki67 breast cancer images. PLoS One. 2018; 13(5):e0196846.
Score: 0.138
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Abas FS, Shana'ah A, Christian B, Hasserjian R, Louissaint A, Pennell M, Sahiner B, Chen W, Niazi MKK, Lozanski G, Gurcan M. Computer-assisted quantification of CD3+ T cells in follicular lymphoma. Cytometry A. 2017 06; 91(6):609-621.
Score: 0.126
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Niazi MK, Beamer G, Gurcan MN. Detecting and characterizing cellular responses to Mycobacterium tuberculosis from histology slides. Cytometry A. 2014 Feb; 85(2):151-61.
Score: 0.102
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Nilsson MF, Danielsson C, Sköld AC, Johansson A, Blomgren B, Wilson J, Khan KM, Bengtsson E, Kultima K, Webster WS, Danielsson BR. Improved methodology for identifying the teratogenic potential in early drug development of hERG channel blocking drugs. Reprod Toxicol. 2010 Apr; 29(2):156-63.
Score: 0.078
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Binol H, Niazi MKK, Essig G, Shah J, Mattingly JK, Harris MS, Elmaraghy C, Teknos T, Taj-Schaal N, Yu L, Gurcan MN, Moberly AC. Digital Otoscopy Videos Versus Composite Images: A Reader Study to Compare the Accuracy of ENT Physicians. Laryngoscope. 2021 05; 131(5):E1668-E1676.
Score: 0.041
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Binol H, Plotner A, Sopkovich J, Kaffenberger B, Niazi MKK, Gurcan MN. Ros-NET: A deep convolutional neural network for automatic identification of rosacea lesions. Skin Res Technol. 2020 May; 26(3):413-421.
Score: 0.039
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Senaras C, Niazi MKK, Lozanski G, Gurcan MN. DeepFocus: Detection of out-of-focus regions in whole slide digital images using deep learning. PLoS One. 2018; 13(10):e0205387.
Score: 0.036