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M. Khalid Khan
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2020 – today
- 2024
- [j15]Mostafa Rezapour, Muhammad Khalid Khan Niazi, Hao Lu, Aarthi Narayanan, Metin Nafi Gürcan:
Machine learning-based analysis of Ebola virus' impact on gene expression in nonhuman primates. Frontiers Artif. Intell. 7 (2024) - [j14]Hao Lu
, Mostafa Rezapour
Gene pointNet for tumor classification. Neural Comput. Appl. 36(33): 21107-21121 (2024) - [i4]Mostafa Rezapour, Muhammad Khalid Khan Niazi, Hao Lu, Aarthi Narayanan, Metin Nafi Gürcan:
Machine Learning-Based Analysis of Ebola Virus' Impact on Gene Expression in Nonhuman Primates. CoRR abs/2401.08738 (2024) - [i3]Ziyu Su, Yongxin Guo, Robert Wesolowski, Gary Tozbikian, Nathaniel S. O'Connell, M. Khalid Khan Niazi, Metin N. Gurcan:
Computational Pathology for Accurate Prediction of Breast Cancer Recurrence: Development and Validation of a Deep Learning-based Tool. CoRR abs/2409.15491 (2024) - 2023
- [j13]Ziyu Su
Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images. Comput. Biol. Medicine 167: 107607 (2023) - [c40]Ziyu Su, Sandhya Kumar, Thomas E. Tavolara
Predicting obstructive sleep apnea severity from craniofacial images using ensemble machine learning models. Computer-Aided Diagnosis 2023 - [c39]Thomas E. Tavolara, Wei Chen, Wendy L. Frankel, Metin N. Gurcan, M. Khalid Khan Niazi:
Minimizing the intra-pathologist disagreement for tumor bud detection on H&E images using weakly supervised learning. Digital and Computational Pathology 2023 - [c38]Thomas E. Tavolara, Metin N. Gurcan, M. Khalid Khan Niazi:
The effects of sparsity induction methods on attention-based multiple instance learning applied to Camelyon16. Digital and Computational Pathology 2023 - [c37]Thomas E. Tavolara, M. Khalid Khan Niazi, Metin N. Gurcan:
Background detection affects downstream classification of Camelyon16 whole slide images. Digital and Computational Pathology 2023 - [c36]Thomas E. Tavolara, M. Khalid Khan Niazi, Metin N. Gurcan:
Simple patch-wise transformations serve as a mechanism for slide-level augmentation for multiple instance learning applications. Digital and Computational Pathology 2023 - [c35]Thomas E. Tavolara, M. Khalid Khan Niazi, David Jaye, Christopher Flowers, Lee Cooper, Metin N. Gurcan:
Deep learning to predict the proportion of positive cells in CMYC-stained tissue microarrays of diffuse large B-cell lymphoma. Digital and Computational Pathology 2023 - [i2]Ziyu Su, Mostafa Rezapour, Usama Sajjad, Metin Nafi Gürcan, Muhammad Khalid Khan Niazi:
Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images. CoRR abs/2301.07700 (2023) - [i1]Ziyu Su, Mostafa Rezapour, Usama Sajjad, Shuo Niu, Metin Nafi Gürcan, Muhammad Khalid Khan Niazi:
Cross-attention-based saliency inference for predicting cancer metastasis on whole slide images. CoRR abs/2309.09412 (2023) - 2022
- [j12]Ziyu Su
Attention2majority: Weak multiple instance learning for regenerative kidney grading on whole slide images. Medical Image Anal. 79: 102462 (2022) - [j11]Hamidullah Binol
OtoXNet - automated identification of eardrum diseases from otoscope videos: a deep learning study for video-representing images. Neural Comput. Appl. 34(14): 12197-12210 (2022) - [c34]Thomas E. Tavolara, Arijit Dutta, Martin V. Burks, Wei Chen, Wendy L. Frankel, Metin N. Gurcan, M. Khalid Khan Niazi:
Automatic generation of the ground truth for tumor budding using H&E stained slides. Digital and Computational Pathology 2022 - [c33]Thomas E. Tavolara, M. Khalid Khan Niazi, Gary Tozbikian, Robert Wesolowski, Metin N. Gurcan:
Predicting HER2 scores from registered HER2 and H&E images. Digital and Computational Pathology 2022 - 2021
- [j10]Thomas E. Tavolara
Identification of difficult to intubate patients from frontal face images using an ensemble of deep learning models. Comput. Biol. Medicine 136: 104737 (2021) - [c32]Thomas E. Tavolara, Adam M. Jorgensen, Metin N. Gurcan
Panoptic segmentation of wounds in a pig model. Computer-Aided Diagnosis 2021 - [c31]Seda Camalan, M. Khalid Khan Niazi, Mahesh Devarasetty, Shay Soker, Metin N. Gurcan
Bladder cancer organoid image analysis: textured-based grading. Digital Pathology 2021 - [c30]Thomas E. Tavolara, Gabriel Carreno-Galeano, Metin N. Gurcan
Grading and localization of histological features for bioengineered kidney constructs. Digital Pathology 2021 - [c29]Thomas E. Tavolara, M. Khalid Khan Niazi, Gillian Beamer, Metin N. Gurcan
Identifying lung imaging biomarkers of BCG vaccination after infection with Mycobacterium tuberculosis. Digital Pathology 2021 - 2020
- [c28]Hamidullah Binol, Aaron C. Moberly, M. Khalid Khan Niazi, Garth Essig, Jay Shah, Charles Elmaraghy, Theodoros Teknos, Nazhat Taj-Schaal, Lianbo Yu, Metin N. Gurcan
Decision fusion on image analysis and tympanometry to detect eardrum abnormalities. Computer-Aided Diagnosis 2020 - [c27]Hamidullah Binol, M. Khalid Khan Niazi, Alisha Plotner, Jennifer Sopkovich, Benjamin Kaffenberger
A multidimensional scaling and sample clustering to obtain a representative subset of training data for transfer learning-based rosacea lesion identification. Computer-Aided Diagnosis 2020 - [c26]Thomas E. Tavolara, Muhammad Khalid Khan Niazi, Gillian Beamer, Metin N. Gurcan
Segmentation of mycobacterium tuberculosis bacilli clusters from acid-fast stained lung biopsies: a deep learning approach. Digital Pathology 2020: 113200E - [c25]Muhammad Khalid Khan Niazi, Enes Yazgan, Cheryl Lee, Anil Parwani, Metin N. Gurcan
Identifying bladder layers from H and E images using U-Net image segmentation. Digital Pathology 2020: 1132006 - [c24]Muhammad Khalid Khan Niazi, Katherine Moore, Kenneth S. Berenhaut, Douglas J. Hartman, Liron Pantanowitz, Metin N. Gurcan
Hotspot detection in pancreatic neuroendocrine images using local depth. Digital Pathology 2020: 1132008
2010 – 2019
- 2019
- [j9]M. Khalid Khan Niazi
Pathological image compression for big data image analysis: Application to hotspot detection in breast cancer. Artif. Intell. Medicine 95: 82-87 (2019) - [j8]S. Jamal Anwar, Muhammad Ramzan, M. Khalid Khan:
Effect of Stark- and Kerr-like medium on the entanglement dynamics of two three-level atomic systems. Quantum Inf. Process. 18(6): 192 (2019) - [c23]Muhammad Khalid Khan Niazi, Thomas E. Tavolara, Çaglar Senaras
Generalization of tumor identification algorithms. Digital Pathology 2019: 109560Z - [c22]Çaglar Senaras
Segmentation of follicles from CD8-stained slides of follicular lymphoma using deep learning. Digital Pathology 2019: 109560R - [c21]Thomas E. Tavolara, Muhammad Khalid Khan Niazi, Wei Chen, Wendy L. Frankel
Colorectal tumor identification by transferring knowledge from pan-cytokeratin to H&E. Digital Pathology 2019: 1095614 - 2018
- [c20]M. Khalid Khan Niazi, Thomas E. Tavolara, Vidya Arole, Anil V. Parwani, Cheryl Lee, Metin N. Gurcan
Automated T1 bladder risk stratification based on depth of lamina propria invasion from H and E tissue biopsies: a deep learning approach. Digital Pathology 2018: 105810H - [c19]M. Khalid Khan Niazi, Gillian Beamer, Metin N. Gurcan
An application of transfer learning to neutrophil cluster detection for tuberculosis: efficient implementation with nonmetric multidimensional scaling and sampling. Digital Pathology 2018: 1058108 - 2017
- [j7]S. Jamal Anwar, Muhammad Ramzan, M. Khalid Khan:
Dynamics of entanglement and quantum Fisher information for N-level atomic system under intrinsic decoherence. Quantum Inf. Process. 16(6): 142 (2017) - [j6]M. Khalid Khan Niazi, Keluo Yao, Debra L. Zynger, Steven K. Clinton, James Chen, Mehmet Koyutürk
Visually Meaningful Histopathological Features for Automatic Grading of Prostate Cancer. IEEE J. Biomed. Health Informatics 21(4): 1027-1038 (2017) - [c18]M. Khalid Khan Niazi, Gillian Beamer, Metin N. Gurcan
A computational framework to detect normal and tuberculosis infected lung from H and E-stained whole slide images. Digital Pathology 2017: 101400J - 2016
- [c17]M. Khalid Khan Niazi, Douglas J. Hartman, Liron Pantanowitz, Metin N. Gurcan:
Hotspot detection in pancreatic neuroendocrine tumors: density approximation by α-shape maps. Digital Pathology 2016: 97910B - [c16]M. Khalid Khan Niazi, Anil V. Parwani, Metin N. Gurcan
Computer-assisted bladder cancer grading: α-shapes for color space decomposition. Digital Pathology 2016: 979107 - 2015
- [c15]M. Khalid Khan Niazi, Daniel A. Weiser, Bruce R. Pawel, Metin N. Gurcan
Characterizing primary refractory neuroblastoma: prediction of outcome by microscopic image analysis. Digital Pathology 2015: 942008 - 2014
- [c14]M. Khalid Khan Niazi, Jessica Hemminger, Habibe Kurt
Grading vascularity from histopathological images based on traveling salesman distance and vessel size. Digital Pathology 2014: 90410C - [c13]M. Khalid Khan Niazi, Erinn Downs-Kelly, Metin N. Gurcan
Hot spot detection for breast cancer in Ki-67 stained slides: image dependent filtering approach. Digital Pathology 2014: 904106 - 2013
- [j5]Salman Khan
Noisy relativistic quantum games in noninertial frames. Quantum Inf. Process. 12(2): 1351-1363 (2013) - [c12]M. Khalid Khan Niazi, Michael Pennell, Camille Elkins, Jessica Hemminger, Ming Jin, Sean Kirby, Habibe Kurt
Entropy based quantification of Ki-67 positive cell images and its evaluation by a reader study. Digital Pathology 2013: 86760I - [c11]M. Khalid Khan Niazi, Anjali A. Satoskar, Metin N. Gurcan
An automated method for counting cytotoxic T-cells from CD8 stained images of renal biopsies. Digital Pathology 2013: 867606 - 2012
- [j4]Salman Khan
Entanglement of Open Quantum Systems in Noninertial Frames. Open Syst. Inf. Dyn. 19(2) (2012) - 2011
- [c10]M. Khalid Khan Niazi, Muhammad Talal Ibrahim, Mats F. Nilsson, Anna-Carin Sköld, Ling Guan, Ingela Nyström:
Robust Signal Generation and Analysis of Rat Embryonic Heart Rate in Vitro Using Laplacian Eigenmaps and Empirical Mode Decomposition. CAIP (2) 2011: 523-530 - [c9]Muhammad Talal Ibrahim, Ling Guan, M. Khalid Khan Niazi:
Horizontal features based illumination normalization method for face recognition. ISPA 2011: 684-689 - [c8]M. Khalid Khan Niazi, Ingela Nyström, Muhammad Talal Ibrahim, Ling Guan:
Bias field correction using grey-weighted distance transform applied on MR volumes. ISBI 2011: 357-360 - 2010
- [j3]Muhammad Talal Ibrahim, Muhammad Aurangzeb Khan
Velocity and pressure-based partitions of horizontal and vertical trajectories for on-line signature verification. Pattern Recognit. 43(8): 2817-2832 (2010) - [c7]M. Khalid Khan, Ingela Nyström:
A Modified Particle Swarm Optimization Applied in Image Registration. ICPR 2010: 2302-2305
2000 – 2009
- 2009
- [j2]M. Khalid Khan, Mats F. Nilsson, Bengt R. Danielsson, Ewert Bengtsson:
Fully Automatic Heart Beat Rate Determination in Digital Video Recordings of Rat Embryos. Trans. Mass Data Anal. Images Signals 1(2): 132 (2009) - 2008
- [c6]M. Khalid Khan, Mats F. Nilsson, Bengt R. Danielsson, Ewert Bengtsson:
Fully Automatic Heart Beat Rate Determination in Digital Video Recordings of Rat Embryos. MDA 2008: 27-37 - 2006
- [j1]Mohammad A. U. Khan
Velocity-Image Model for Online Signature Verification. IEEE Trans. Image Process. 15(11): 3540-3549 (2006) - [c5]M. Khalid Khan, Muhammad Aurangzeb Khan
Signature Verification using Velocity-based Directional Filter Bank. APCCAS 2006: 231-234 - [c4]Muhammad Aurangzeb Khan
Endothelial Cell Image Enhancement using Decimation-Free Directional Filter Banks. APCCAS 2006: 884-887 - [c3]M. Khalid Khan, Muhammad Aurangzeb Khan
On-Line Signature Verification by Exploiting Inter-Feature Dependencies. ICPR (2) 2006: 796-799 - [c2]Muhammad Talal Ibrahim, Imtiaz A. Taj, M. Khalid Khan, Muhammad Aurangzeb Khan
Fingerprint Image Enhancement Using Decimation Free Directional Adaptive Mean Filtering. ICVGIP 2006: 950-961 - 2004
- [c1]Mohammad A. U. Khan, M. Khalid Khan, Muhammad Aurangzeb Khan
Coronary angiogram image enhancement using decimation-free directional filter banks. ICASSP (5) 2004: 441-444
Coauthor Index
aka: Metin N. Gurcan
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