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Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring

IEEE transactions on medical imaging, 2019-11, Vol.38 (11), p.2620-2631

2019

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Fast and accurate tumor segmentation of histology images using persistent homology and deep convolutional features

Medical image analysis, 2019-07, Vol.55, p.1-14

2019

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Knowledge Distillation in Histology Landscape by Multi-Layer Features Supervision

IEEE journal of biomedical and health informatics, 2023-04, Vol.PP (4), p.1-11

2023

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Methods for Segmentation and Classification of Digital Microscopy Tissue Images

Frontiers in bioengineering and biotechnology, 2019-04, Vol.7, p.53-53

2019

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Sensor Data Fusion Based on Deep Learning for Computer Vision Applications and Medical Applications

Sensors (Basel, Switzerland), 2022-10, Vol.22 (20), p.8058

2022

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HER2 challenge contest: a detailed assessment of automated HER2 scoring algorithms in whole slide images of breast cancer tissues

Histopathology, 2018-01, Vol.72 (2), p.227-238

2018

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Persistent Homology for Fast Tumor Segmentation in Whole Slide Histology Images

Procedia computer science, 2016, Vol.90, p.119-124

2016

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Unsupervised mutual transformer learning for multi-gigapixel Whole Slide Image classification

Medical image analysis, 2024-08, Vol.96, p.103203, Article 103203

2024

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Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer

JAMA : the journal of the American Medical Association, 2017-12, Vol.318 (22), p.2199

2017

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Nucleus classification in histology images using message passing network

Medical image analysis, 2022-07, Vol.79, p.102480-102480, Article 102480

2022

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Consistency regularisation in varying contexts and feature perturbations for semi-supervised semantic segmentation of histology images

Medical image analysis, 2024-01, Vol.91, p.102997-102997, Article 102997

2024

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Tumor-collagen digital proximity signature to indicate prognosis in diffuse large B-cell lymphoma

Journal of clinical oncology, 2019-05, Vol.37 (15_suppl), p.e19073-e19073

2019

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Topology and Attention in Computational Pathology

Qaiser, Talha

2019

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Usability of deep learning and H&E images predict disease outcome-emerging tool to optimize clinical trials

NPJ precision oncology, 2022-06, Vol.6 (1), p.37-37, Article 37

2022

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Investigating the Effect of Various Augmentations on the Input Data Fed to a Convolutional Neural Network for the Task of Mammographic Mass Classification

Medical Image Understanding and Analysis, p.398-409

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Usability of deep learning and H E images predict disease outcome-emerging tool to optimize clinical trials

NPJ precision oncology, 2022-06, Vol.6 (1), p.1-12

2022

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Hybrid Aggregation Network for Survival Analysis from Whole Slide Histopathological Images

Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, p.731-740

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Tumor Segmentation in Whole Slide Images Using Persistent Homology and Deep Convolutional Features

Medical Image Understanding and Analysis, p.320-329

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HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification

Interpretable and Annotation-Efficient Learning for Medical Image Computing, p.164-171

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HER 2 challenge contest: a detailed assessment of automated HER 2 scoring algorithms in whole slide images of breast cancer tissues

Histopathology, 2018-01, Vol.72 (2), p.227-238

2018

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Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection

Computational Pathology and Ophthalmic Medical Image Analysis, p.69-77

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Glyoxalase 1 copy number variation in patients with well differentiated gastro-entero-pancreatic neuroendocrine tumours (GEP-NET)

Oncotarget, 2017-09, Vol.8 (44), p.76961-76973

2017

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Digital Tumor-Collagen Proximity Signature Predicts Survival in Diffuse Large B-Cell Lymphoma

Digital Pathology, p.163-171

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Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring

Fast and accurate tumor segmentation of histology images using persistent homology and deep convolutional features

Knowledge Distillation in Histology Landscape by Multi-Layer Features Supervision

Methods for Segmentation and Classification of Digital Microscopy Tissue Images

Sensor Data Fusion Based on Deep Learning for Computer Vision Applications and Medical Applications

HER2 challenge contest: a detailed assessment of automated HER2 scoring algorithms in whole slide images of breast cancer tissues

Development of machine learning support for reading whole body diffusion-weighted MRI (WB-MRI) in myeloma for the detection and quantification of the extent of disease before and after treatment (MALIMAR): protocol for a cross-sectional diagnostic test accuracy study

Persistent Homology for Fast Tumor Segmentation in Whole Slide Histology Images

Unsupervised mutual transformer learning for multi-gigapixel Whole Slide Image classification

Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer

Nucleus classification in histology images using message passing network

Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge

Consistency regularisation in varying contexts and feature perturbations for semi-supervised semantic segmentation of histology images

Tumor-collagen digital proximity signature to indicate prognosis in diffuse large B-cell lymphoma

Topology and Attention in Computational Pathology

Usability of deep learning and H&E images predict disease outcome-emerging tool to optimize clinical trials

Investigating the Effect of Various Augmentations on the Input Data Fed to a Convolutional Neural Network for the Task of Mammographic Mass Classification

Usability of deep learning and H E images predict disease outcome-emerging tool to optimize clinical trials

Hybrid Aggregation Network for Survival Analysis from Whole Slide Histopathological Images

Tumor Segmentation in Whole Slide Images Using Persistent Homology and Deep Convolutional Features

HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification

HER 2 challenge contest: a detailed assessment of automated HER 2 scoring algorithms in whole slide images of breast cancer tissues

Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection

Glyoxalase 1 copy number variation in patients with well differentiated gastro-entero-pancreatic neuroendocrine tumours (GEP-NET)

Digital Tumor-Collagen Proximity Signature Predicts Survival in Diffuse Large B-Cell Lymphoma

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