Syed Ali Khurram

Orcid: 0000-0002-0378-9380

According to our database1, Syed Ali Khurram authored at least 24 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset.
IEEE J. Biomed. Health Informatics, March, 2024

Whole Slide Image Classification of Salivary Gland Tumours.
CoRR, 2024

An Automated Pipeline for Tumour-Infiltrating Lymphocyte Scoring in Breast Cancer.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

An Attention Based Pipeline for Identifying Pre-Cancer Lesions in Head and Neck Clinical Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Transformer-based Model for Oral Epithelial Dysplasia Segmentation.
CoRR, 2023

A Fully Automated and Explainable Algorithm for the Prediction of Malignant Transformation in Oral Epithelial Dysplasia.
CoRR, 2023

LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset.
CoRR, 2023

2022
On Smart Gaze Based Annotation of Histopathology Images for Training of Deep Convolutional Neural Networks.
IEEE J. Biomed. Health Informatics, 2022

TIAger: Tumor-Infiltrating Lymphocyte Scoring in Breast Cancer for the TiGER Challenge.
CoRR, 2022

Rank the triplets: A ranking-based multiple instance learning framework for detecting HPV infection in head and neck cancers using routine H&E images.
CoRR, 2022

A Novel Framework for Coarse-Grained Semantic Segmentation of Whole-Slide Images.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

A Neural Architecture Search Based Framework for Segmentation of Epithelium, Nuclei and Oral Epithelial Dysplasia Grading.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

2021
Self-Path: Self-Supervision for Classification of Pathology Images With Limited Annotations.
IEEE Trans. Medical Imaging, 2021

A digital score of tumour-associated stroma infiltrating lymphocytes predicts survival in head and neck squamous cell carcinoma.
CoRR, 2021

Stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challenge.
Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021

Simultaneous Nuclear Instance and Layer Segmentation in Oral Epithelial Dysplasia.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
FABnet: feature attention-based network for simultaneous segmentation of microvessels and nerves in routine histology images of oral cancer.
Neural Comput. Appl., 2020

PanNuke Dataset Extension, Insights and Baselines.
CoRR, 2020

Automated grade classification of oral epithelial dysplasia using morphometric analysis of histology images.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

2019
Cancer Image Quantification With And Without, Expensive Whole Slide Imaging Scanners.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Methods for Segmentation and Classification of Digital Microscopy Tissue Images.
CoRR, 2018

A Multi-resolution Deep Learning Framework for Lung Adenocarcinoma Growth Pattern Classification.
Proceedings of the Medical Image Understanding and Analysis - 22nd Conference, 2018

Classification of lung cancer histology images using patch-level summary statistics.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

Uncertainty Driven Pooling Network for Microvessel Segmentation in Routine Histology Images.
Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018


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