M. Khalid Khan

Orcid: 0000-0002-1278-7512

According to our database1, M. Khalid Khan authored at least 56 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Gene pointNet for tumor classification.
Neural Comput. Appl., November, 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

Predicting HER2 scores from registered HER2 and H&E images.
Proceedings of the Medical Imaging 2022: Digital and Computational Pathology, 2022

Automatic generation of the ground truth for tumor budding using H&E stained slides.
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

Bladder cancer organoid image analysis: textured-based grading.
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021

Panoptic segmentation of wounds in a pig model.
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

Identifying bladder layers from H and E images using U-Net image segmentation.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

Hotspot detection in pancreatic neuroendocrine images using local depth.
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

Decision fusion on image analysis and tympanometry to detect eardrum abnormalities.
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

Generalization of tumor identification algorithms.
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
Computer-assisted bladder cancer grading: α-shapes for color space decomposition.
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
Noisy relativistic quantum games in noninertial frames.
Quantum Inf. Process., 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
Entanglement of Open Quantum Systems in Noninertial Frames.
Open Syst. Inf. Dyn., 2012

2011
Bias field correction using grey-weighted distance transform applied on MR volumes.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Horizontal features based illumination normalization method for face recognition.
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

A Modified Particle Swarm Optimization Applied in Image Registration.
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
Velocity-Image Model for Online Signature Verification.
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

On-Line Signature Verification by Exploiting Inter-Feature Dependencies.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Endothelial Cell Image Enhancement using Decimation-Free Directional Filter Banks.
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems 2006, 2006

Signature Verification using Velocity-based Directional Filter Bank.
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems 2006, 2006

2004
Coronary angiogram image enhancement using decimation-free directional filter banks.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004


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