Coronary angiogram image enhancement using decimation-free directional filter banks. - Mohammad A. U. Khan; M. Khalid Khan; Muhammad Aurangzeb Khan (ICASSP (5), 2004)

Signature Verification using Velocity-based Directional Filter Bank. - M. Khalid Khan; Muhammad Aurangzeb Khan; Mohammad A. U. Khan; Sungyoung Lee 001 (APCCAS, 2006)

Endothelial Cell Image Enhancement using Decimation-Free Directional Filter Banks. - Muhammad Aurangzeb Khan; M. Khalid Khan; Mohammad A. U. Khan; Sungyoung Lee 001 (APCCAS, 2006)

On-Line Signature Verification by Exploiting Inter-Feature Dependencies. - M. Khalid Khan; Muhammad Aurangzeb Khan; Mohammad A. U. Khan; Imran Ahmad 001 (ICPR (2), 2006)

Fingerprint Image Enhancement Using Decimation Free Directional Adaptive Mean Filtering. - Muhammad Talal Ibrahim; Imtiaz A. Taj; M. Khalid Khan; Muhammad Aurangzeb Khan (ICVGIP, 2006)

Velocity-Image Model for Online Signature Verification. - Mohammad A. U. Khan; M. Khalid Khan Niazi; Muhammad Aurangzeb Khan (IEEE Trans. Image Process., 2006)

Fully Automatic Heart Beat Rate Determination in Digital Video Recordings of Rat Embryos. - M. Khalid Khan; Mats F. Nilsson; Bengt R. Danielsson; Ewert Bengtsson (Trans. Mass Data Anal. Images Signals, 2009)

A Modified Particle Swarm Optimization Applied in Image Registration. - M. Khalid Khan; Ingela Nyström (ICPR, 2010)

Velocity and pressure-based partitions of horizontal and vertical trajectories for on-line signature verification. - Muhammad Talal Ibrahim; Muhammad Aurangzeb Khan; Khurram Saleem Alimgeer; M. Khalid Khan; Imtiaz A. Taj; Ling Guan (Pattern Recognit., 2010)

Robust Signal Generation and Analysis of Rat Embryonic Heart Rate in Vitro Using Laplacian Eigenmaps and Empirical Mode Decomposition. - M. Khalid Khan Niazi; Muhammad Talal Ibrahim; Mats F. Nilsson; Anna-Carin Sköld; Ling Guan; Ingela Nyström (CAIP (2), 2011)

Horizontal features based illumination normalization method for face recognition. - Muhammad Talal Ibrahim; Ling Guan; M. Khalid Khan Niazi (ISPA, 2011)

Bias field correction using grey-weighted distance transform applied on MR volumes. - M. Khalid Khan Niazi; Ingela Nyström; Muhammad Talal Ibrahim; Ling Guan (ISBI, 2011)

Image Filtering Methods for Biomedical Applications. - M. Khalid Khan Niazi (2011)

Entanglement of Open Quantum Systems in Noninertial Frames. - Salman Khan 006; M. Khalid Khan (Open Syst. Inf. Dyn., 2012)

Entropy based quantification of Ki-67 positive cell images and its evaluation by a reader study. - M. Khalid Khan Niazi; Michael Pennell; Camille Elkins; Jessica Hemminger; Ming Jin; Sean Kirby; Habibe Kurt; Barrie Miller; Elizabeth Plocharczyk; Rachel Roth; Rebecca Ziegler; Arwa Shana'ah; et al. (Digital Pathology, 2013)

An automated method for counting cytotoxic T-cells from CD8 stained images of renal biopsies. - M. Khalid Khan Niazi; Anjali A. Satoskar; Metin N. Gurcan (Digital Pathology, 2013)

Noisy relativistic quantum games in noninertial frames. - Salman Khan 006; M. Khalid Khan (Quantum Inf. Process., 2013)

Hot spot detection for breast cancer in Ki-67 stained slides: image dependent filtering approach. - M. Khalid Khan Niazi; Erinn Downs-Kelly; Metin N. Gurcan (Digital Pathology, 2014)

Grading vascularity from histopathological images based on traveling salesman distance and vessel size. - M. Khalid Khan Niazi; Jessica Hemminger; Habibe Kurt; Gerard Lozanski; Metin N. Gurcan (Digital Pathology, 2014)

Characterizing primary refractory neuroblastoma: prediction of outcome by microscopic image analysis. - M. Khalid Khan Niazi; Daniel A. Weiser; Bruce R. Pawel; Metin N. Gurcan (Digital Pathology, 2015)

Hotspot detection in pancreatic neuroendocrine tumors: density approximation by α-shape maps. - M. Khalid Khan Niazi; Douglas J. Hartman; Liron Pantanowitz; Metin N. Gurcan (Digital Pathology, 2016)

Computer-assisted bladder cancer grading: α-shapes for color space decomposition. - M. Khalid Khan Niazi; Anil V. Parwani; Metin N. Gurcan (Digital Pathology, 2016)

A computational framework to detect normal and tuberculosis infected lung from H and E-stained whole slide images. - M. Khalid Khan Niazi; Gillian Beamer; Metin N. Gurcan (Digital Pathology, 2017)

Dynamics of entanglement and quantum Fisher information for N-level atomic system under intrinsic decoherence. - S. Jamal Anwar; Muhammad Ramzan; M. Khalid Khan (Quantum Inf. Process., 2017)

Visually Meaningful Histopathological Features for Automatic Grading of Prostate Cancer. - M. Khalid Khan Niazi; Keluo Yao; Debra L. Zynger; Steven K. Clinton; James Chen; Mehmet Koyutürk; Thomas LaFramboise; Metin N. Gurcan (IEEE J. Biomed. Health Informatics, 2017)

An application of transfer learning to neutrophil cluster detection for tuberculosis: efficient implementation with nonmetric multidimensional scaling and sampling. - M. Khalid Khan Niazi; Gillian Beamer; Metin N. Gurcan (Digital Pathology, 2018)

Automated T1 bladder risk stratification based on depth of lamina propria invasion from H and E tissue biopsies: a deep learning approach. - M. Khalid Khan Niazi; Thomas E. Tavolara; Vidya Arole; Anil V. Parwani; Cheryl Lee; Metin N. Gurcan (Digital Pathology, 2018)

Generalization of tumor identification algorithms. - Muhammad Khalid Khan Niazi; Thomas E. Tavolara; Çaglar Senaras; Gary Tozbikian; Douglas J. Hartman; Vidya Arole; Liron Pantanowitz; Metin N. Gurcan (Digital Pathology, 2019)

Segmentation of follicles from CD8-stained slides of follicular lymphoma using deep learning. - Çaglar Senaras; M. Khalid Khan Niazi; Vidya Arole; Weijie Chen 007; Berkman Sahiner; Arwa Shana'ah; Abner Louissaint; Robert Paul Hasserjian; Gerard Lozanski; Metin Nafi Gürcan (Digital Pathology, 2019)

Colorectal tumor identification by transferring knowledge from pan-cytokeratin to H&E. - Thomas E. Tavolara; Muhammad Khalid Khan Niazi; Wei Chen; Wendy L. Frankel; Metin N. Gurcan (Digital Pathology, 2019)

Pathological image compression for big data image analysis: Application to hotspot detection in breast cancer. - M. Khalid Khan Niazi; Yuzhang Lin; Feng Liu 012; Amit Ashok; Michael W. Marcellin; Gary Tozbikian; Metin Nafi Gürcan; Ali Bilgin (Artif. Intell. Medicine, 2019)

Effect of Stark- and Kerr-like medium on the entanglement dynamics of two three-level atomic systems. - S. Jamal Anwar; Muhammad Ramzan; M. Khalid Khan (Quantum Inf. Process., 2019)

Decision fusion on image analysis and tympanometry to detect eardrum abnormalities. - 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 (Computer-Aided Diagnosis, 2020)

A multidimensional scaling and sample clustering to obtain a representative subset of training data for transfer learning-based rosacea lesion identification. - Hamidullah Binol; M. Khalid Khan Niazi; Alisha Plotner; Jennifer Sopkovich; Benjamin Kaffenberger; Metin N. Gurcan (Computer-Aided Diagnosis, 2020)

Hotspot detection in pancreatic neuroendocrine images using local depth. - Muhammad Khalid Khan Niazi; Katherine Moore; Kenneth S. Berenhaut; Douglas J. Hartman; Liron Pantanowitz; Metin N. Gurcan (Digital Pathology, 2020)

Identifying bladder layers from H and E images using U-Net image segmentation. - Muhammad Khalid Khan Niazi; Enes Yazgan; Cheryl Lee; Anil Parwani; Metin N. Gurcan (Digital Pathology, 2020)

Segmentation of mycobacterium tuberculosis bacilli clusters from acid-fast stained lung biopsies: a deep learning approach. - Thomas E. Tavolara; Muhammad Khalid Khan Niazi; Gillian Beamer; Metin N. Gurcan (Digital Pathology, 2020)

Panoptic segmentation of wounds in a pig model. - Thomas E. Tavolara; Adam M. Jorgensen; Metin N. Gurcan; Sean V. Murphy; M. Khalid Khan Niazi (Computer-Aided Diagnosis, 2021)

Bladder cancer organoid image analysis: textured-based grading. - Seda Camalan; M. Khalid Khan Niazi; Mahesh Devarasetty; Shay Soker; Metin N. Gurcan (Digital Pathology, 2021)

Grading and localization of histological features for bioengineered kidney constructs. - Thomas E. Tavolara; Gabriel Carreno-Galeano; Metin N. Gurcan; Sang Jin Lee; M. Khalid Khan Niazi (Digital Pathology, 2021)

Identifying lung imaging biomarkers of BCG vaccination after infection with Mycobacterium tuberculosis. - Thomas E. Tavolara; M. Khalid Khan Niazi; Gillian Beamer; Metin N. Gurcan (Digital Pathology, 2021)

Identification of difficult to intubate patients from frontal face images using an ensemble of deep learning models. - Thomas E. Tavolara; Metin N. Gurcan; Scott Segal; M. Khalid Khan Niazi (Comput. Biol. Medicine, 2021)

Automatic generation of the ground truth for tumor budding using H&E stained slides. - Thomas E. Tavolara; Arijit Dutta; Martin V. Burks; Wei Chen; Wendy L. Frankel; Metin N. Gurcan; M. Khalid Khan Niazi (Digital and Computational Pathology, 2022)

Predicting HER2 scores from registered HER2 and H&E images. - Thomas E. Tavolara; M. Khalid Khan Niazi; Gary Tozbikian; Robert Wesolowski; Metin N. Gurcan (Digital and Computational Pathology, 2022)

Attention2majority: Weak multiple instance learning for regenerative kidney grading on whole slide images. - Ziyu Su; Thomas E. Tavolara; Gabriel Carreno-Galeano; Sang Jin Lee; Metin N. Gurcan; M. Khalid Khan Niazi (Medical Image Anal., 2022)

OtoXNet - automated identification of eardrum diseases from otoscope videos: a deep learning study for video-representing images. - Hamidullah Binol; M. Khalid Khan Niazi; Charles Elmaraghy; Aaron C. Moberly; Metin N. Gurcan (Neural Comput. Appl., 2022)

Predicting obstructive sleep apnea severity from craniofacial images using ensemble machine learning models. - Ziyu Su; Sandhya Kumar; Thomas E. Tavolara; Metin N. Gurcan; Scott Segal; M. Khalid Khan Niazi (Computer-Aided Diagnosis, 2023)

Minimizing the intra-pathologist disagreement for tumor bud detection on H&E images using weakly supervised learning. - Thomas E. Tavolara; Wei Chen; Wendy L. Frankel; Metin N. Gurcan; M. Khalid Khan Niazi (Digital and Computational Pathology, 2023)

The effects of sparsity induction methods on attention-based multiple instance learning applied to Camelyon16. - Thomas E. Tavolara; Metin N. Gurcan; M. Khalid Khan Niazi (Digital and Computational Pathology, 2023)

Background detection affects downstream classification of Camelyon16 whole slide images. - Thomas E. Tavolara; M. Khalid Khan Niazi; Metin N. Gurcan (Digital and Computational Pathology, 2023)

Simple patch-wise transformations serve as a mechanism for slide-level augmentation for multiple instance learning applications. - Thomas E. Tavolara; M. Khalid Khan Niazi; Metin N. Gurcan (Digital and Computational Pathology, 2023)

Deep learning to predict the proportion of positive cells in CMYC-stained tissue microarrays of diffuse large B-cell lymphoma. - Thomas E. Tavolara; M. Khalid Khan Niazi; David Jaye; Christopher Flowers; Lee Cooper 001; Metin N. Gurcan (Digital and Computational Pathology, 2023)

Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images. - Ziyu Su; Mostafa Rezapour; Usama Sajjad; Metin Nafi Gürcan; Muhammad Khalid Khan Niazi (Comput. Biol. Medicine, 2023)

Classification-based pathway analysis using GPNet with novel P-value computation. - Hao Lu; Mostafa Rezapour; Haseebullah Baha; Muhammad Khalid Khan Niazi; Aarthi Narayanan; Metin Nafi Gürcan (Briefings Bioinform., 2024)

Computational Pathology for Accurate Prediction of Breast Cancer Recurrence: Development and Validation of a Deep Learning-based Tool. - Ziyu Su; Yongxin Guo; Robert Wesolowski; Gary Tozbikian; Nathaniel S. O'Connell; M. Khalid Khan Niazi; Metin N. Gurcan (CoRR, 2024)

Machine learning-based analysis of Ebola virus' impact on gene expression in nonhuman primates. - Mostafa Rezapour; Muhammad Khalid Khan Niazi; Hao Lu; Aarthi Narayanan; Metin Nafi Gürcan (Frontiers Artif. Intell., 2024)

Gene pointNet for tumor classification. - Hao Lu; Mostafa Rezapour; Haseebullah Baha; Muhammad Khalid Khan Niazi; Aarthi Narayanan; Metin Nafi Gürcan (Neural Comput. Appl., 2024)

Cross-Attention-Based Saliency Inference for Predicting Cancer Metastasis on Whole Slide Images. - Ziyu Su; Mostafa Rezapour; Usama Sajjad; Shuo Niu; Metin Nafi Gürcan; Muhammad Khalid Khan Niazi (IEEE J. Biomed. Health Informatics, 2024)

Predicting Neo-Adjuvant Chemotherapy Response in Triple-Negative Breast Cancer Using Pre-Treatment Histopathologic Images. - Hikmat Khan; Ziyu Su; Huina Zhang; Yihong Wang; Bohan Ning; Shi Wei; Hua Guo; Zaibo Li; Muhammad Khalid Khan Niazi (CoRR, 2025)