Shan E Ahmed Raza
Orcid: 0000-0002-1097-1738Affiliations:
- University of Warwick, Department of Computer Science
According to our database1,
Shan E Ahmed Raza
authored at least 58 papers
between 2012 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE J. Biomed. Health Informatics, March, 2024
CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting.
Medical Image Anal., February, 2024
Consistency regularisation in varying contexts and feature perturbations for semi-supervised semantic segmentation of histology images.
Medical Image Anal., January, 2024
An AI based Digital Score of Tumour-Immune Microenvironment Predicts Benefit to Maintenance Immunotherapy in Advanced Oesophagogastric Adenocarcinoma.
CoRR, 2024
CoRR, 2024
2023
J. Medical Syst., December, 2023
Handcrafted Histological Transformer (H2T): Unsupervised representation of whole slide images.
Medical Image Anal., April, 2023
Comput. Medical Imaging Graph., March, 2023
One model is all you need: Multi-task learning enables simultaneous histology image segmentation and classification.
Medical Image Anal., 2023
Cell Maps Representation For Lung Adenocarcinoma Growth Patterns Classification In Whole Slide Images.
CoRR, 2023
CoRR, 2023
A Fully Automated and Explainable Algorithm for the Prediction of Malignant Transformation in Oral Epithelial Dysplasia.
CoRR, 2023
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.
CoRR, 2023
CoRR, 2023
Growth Pattern Fingerprinting for Automatic Analysis of Lung Adenocarcinoma Overall Survival.
IEEE Access, 2023
2022
TIAger: Tumor-Infiltrating Lymphocyte Scoring in Breast Cancer for the TiGER Challenge.
CoRR, 2022
Deep Learning based Prediction of MSI in Colorectal Cancer via Prediction of the Status of MMR Markers.
CoRR, 2022
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2022
Morph-Net: End-to-End Prediction of Nuclear Morphological Features from Histology Images.
Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022
2021
IEEE Trans. Medical Imaging, 2021
FedDropoutAvg: Generalizable federated learning for histopathology image classification.
CoRR, 2021
Semantic annotation for computational pathology: Multidisciplinary experience and best practice recommendations.
CoRR, 2021
A digital score of tumour-associated stroma infiltrating lymphocytes predicts survival in head and neck squamous cell carcinoma.
CoRR, 2021
Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
A Novel Cell Map Representation for Weakly Supervised Prediction of ER & PR Status from H&E WSIs.
Proceedings of the MICCAI Workshop on Computational Pathology, 2021
2020
Automated grade classification of oral epithelial dysplasia using morphometric analysis of histology images.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020
Cross-Domain Knowledge Transfer for Prediction of Chemosensitivity in Ovarian Cancer Patients.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Medical Image Anal., 2019
Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images.
Medical Image Anal., 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
DeepSDCS: Dissecting cancer proliferation heterogeneity in Ki67 digital whole slide images.
CoRR, 2018
A bottom-up approach for tumour differentiation in whole slide images of lung adenocarcinoma.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018
2017
Multi-resolution cell orientation congruence descriptors for epithelium segmentation in endometrial histology images.
Medical Image Anal., 2017
MIMONet: Gland Segmentation Using Multi-Input-Multi-Output Convolutional Neural Network.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017
MIMO-Net: A multi-input multi-output convolutional neural network for cell segmentation in fluorescence microscopy images.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2016
Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images.
IEEE Trans. Medical Imaging, 2016
BioData Min., 2016
Handcrafted features with convolutional neural networks for detection of tumor cells in histology images.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Stain deconvolution of histology images via independent component analysis in the wavelet domain.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
Registration of thermal and visible light images of diseased plants using silhouette extraction in the wavelet domain.
Pattern Recognit., 2015
Cell Nuclei Segmentation in Variable Intensity Fluorescence Microscopy Images.
Proceedings of the Medical Image Understanding and Analysis, 2015
A Discriminative Framework for Stain Deconvolution of Histopathology Images in the Maxwellian Space.
Proceedings of the Medical Image Understanding and Analysis, 2015
Anisotropic tubular filtering for automatic detection of acid-fast bacilli in Ziehl-Neelsen stained sputum smear samples.
Proceedings of the Medical Imaging 2015: Digital Pathology, 2015
A Spatially Constrained Deep Learning Framework for Detection of Epithelial Tumor Nuclei in Cancer Histology Images.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015
A Novel Cell Orientation Congruence Descriptor for Superpixel Based Epithelium Segmentation in Endometrial Histology Images.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015
2014
2012
A Novel Paradigm for Mining Cell Phenotypes in Multi-tag Bioimages Using a Locality Preserving Nonlinear Embedding.
Proceedings of the Neural Information Processing - 19th International Conference, 2012