M. Khalid Khan
Orcid: 0000-0002-1278-7512
According to our database1,
M. Khalid Khan
authored at least 56 papers
between 2004 and 2024.
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Bibliography
2024
Machine learning-based analysis of Ebola virus' impact on gene expression in nonhuman primates.
Frontiers Artif. Intell., 2024
Computational Pathology for Accurate Prediction of Breast Cancer Recurrence: Development and Validation of a Deep Learning-based Tool.
CoRR, 2024
2023
Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images.
Comput. Biol. Medicine, December, 2023
Cross-attention-based saliency inference for predicting cancer metastasis on whole slide images.
CoRR, 2023
Deep learning to predict the proportion of positive cells in CMYC-stained tissue microarrays of diffuse large B-cell lymphoma.
Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023
Simple patch-wise transformations serve as a mechanism for slide-level augmentation for multiple instance learning applications.
Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023
Background detection affects downstream classification of Camelyon16 whole slide images.
Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023
The effects of sparsity induction methods on attention-based multiple instance learning applied to Camelyon16.
Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023
Minimizing the intra-pathologist disagreement for tumor bud detection on H&E images using weakly supervised learning.
Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023
Predicting obstructive sleep apnea severity from craniofacial images using ensemble machine learning models.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
2022
OtoXNet - automated identification of eardrum diseases from otoscope videos: a deep learning study for video-representing images.
Neural Comput. Appl., 2022
Attention2majority: Weak multiple instance learning for regenerative kidney grading on whole slide images.
Medical Image Anal., 2022
Proceedings of the Medical Imaging 2022: Digital and Computational Pathology, 2022
Proceedings of the Medical Imaging 2022: Digital and Computational Pathology, 2022
2021
Identification of difficult to intubate patients from frontal face images using an ensemble of deep learning models.
Comput. Biol. Medicine, 2021
Identifying lung imaging biomarkers of BCG vaccination after infection with Mycobacterium tuberculosis.
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021
Grading and localization of histological features for bioengineered kidney constructs.
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
2020
Segmentation of mycobacterium tuberculosis bacilli clusters from acid-fast stained lung biopsies: a deep learning approach.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
A multidimensional scaling and sample clustering to obtain a representative subset of training data for transfer learning-based rosacea lesion identification.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
Effect of Stark- and Kerr-like medium on the entanglement dynamics of two three-level atomic systems.
Quantum Inf. Process., 2019
Pathological image compression for big data image analysis: Application to hotspot detection in breast cancer.
Artif. Intell. Medicine, 2019
Colorectal tumor identification by transferring knowledge from pan-cytokeratin to H&E.
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019
Segmentation of follicles from CD8-stained slides of follicular lymphoma using deep learning.
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019
2018
Automated T1 bladder risk stratification based on depth of lamina propria invasion from H and E tissue biopsies: a deep learning approach.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018
An application of transfer learning to neutrophil cluster detection for tuberculosis: efficient implementation with nonmetric multidimensional scaling and sampling.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018
2017
Visually Meaningful Histopathological Features for Automatic Grading of Prostate Cancer.
IEEE J. Biomed. Health Informatics, 2017
Dynamics of entanglement and quantum Fisher information for <i>N</i>-level atomic system under intrinsic decoherence.
Quantum Inf. Process., 2017
A computational framework to detect normal and tuberculosis infected lung from H and E-stained whole slide images.
Proceedings of the Medical Imaging 2017: Digital Pathology, 2017
2016
Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016
Hotspot detection in pancreatic neuroendocrine tumors: density approximation by α-shape maps.
Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016
2015
Characterizing primary refractory neuroblastoma: prediction of outcome by microscopic image analysis.
Proceedings of the Medical Imaging 2015: Digital Pathology, 2015
2014
Grading vascularity from histopathological images based on traveling salesman distance and vessel size.
Proceedings of the Medical Imaging 2014: Digital Pathology, 2014
Hot spot detection for breast cancer in Ki-67 stained slides: image dependent filtering approach.
Proceedings of the Medical Imaging 2014: Digital Pathology, 2014
2013
An automated method for counting cytotoxic T-cells from CD8 stained images of renal biopsies.
Proceedings of the Medical Imaging 2013: Digital Pathology, 2013
Entropy based quantification of Ki-67 positive cell images and its evaluation by a reader study.
Proceedings of the Medical Imaging 2013: Digital Pathology, 2013
2012
Open Syst. Inf. Dyn., 2012
2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the 7th International Symposium on Image and Signal Processing and Analysis, 2011
Robust Signal Generation and Analysis of Rat Embryonic Heart Rate in Vitro Using Laplacian Eigenmaps and Empirical Mode Decomposition.
Proceedings of the Computer Analysis of Images and Patterns, 2011
2010
Velocity and pressure-based partitions of horizontal and vertical trajectories for on-line signature verification.
Pattern Recognit., 2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010
2009
Fully Automatic Heart Beat Rate Determination in Digital Video Recordings of Rat Embryos.
Trans. Mass Data Anal. Images Signals, 2009
2006
IEEE Trans. Image Process., 2006
Fingerprint Image Enhancement Using Decimation Free Directional Adaptive Mean Filtering.
Proceedings of the Computer Vision, Graphics and Image Processing, 5th Indian Conference, 2006
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems 2006, 2006
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems 2006, 2006
2004
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004