b'Nasir Rajpoot'

research

∙ 05/08/2023

Synthesis of Annotated Colorectal Cancer Tissue Images from Gland Layout

Generating annotated pairs of realistic tissue images along with their a...

2 Srijay Deshpande, et al. ∙

research

∙ 05/03/2023

Unsupervised Mutual Transformer Learning for Multi-Gigapixel Whole Slide Image Classification

Classification of gigapixel Whole Slide Images (WSIs) is an important pr...

0 Sajid Javed, et al. ∙

research

∙ 01/16/2023

LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset

We introduce LYSTO, the Lymphocyte Assessment Hackathon, which was held ...

3 Yiping Jiao, et al. ∙

research

∙ 01/09/2023

Nuclear Segmentation and Classification: On Color Compression Generalization

Since the introduction of digital and computational pathology as a field...

0 Quoc Dang Vu, et al. ∙

research

∙ 12/28/2022

SynCLay: Interactive Synthesis of Histology Images from Bespoke Cellular Layouts

Automated synthesis of histology images has several potential applicatio...

7 Srijay Deshpande, et al. ∙

research

∙ 11/02/2022

An Aggregation of Aggregation Methods in Computational Pathology

Image analysis and machine learning algorithms operating on multi-gigapi...

0 Mohsin Bilal, et al. ∙

research

∙ 10/31/2022

Embedding Space Augmentation for Weakly Supervised Learning in Whole-Slide Images

Multiple Instance Learning (MIL) is a widely employed framework for lear...

0 Imaad Zaffar, et al. ∙

research

∙ 09/07/2022

Multi-Scale Attention-based Multiple Instance Learning for Classification of Multi-Gigapixel Histology Images

Histology images with multi-gigapixel of resolution yield rich informati...

28 Made Satria Wibawa, et al. ∙

research

∙ 08/26/2022

Stain-Robust Mitotic Figure Detection for MIDOG 2022 Challenge

The detection of mitotic figures from different scanners/sites remains a...

0 Mostafa Jahanifar, et al. ∙

research

∙ 08/23/2022

IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue Classification

The appearance of histopathology images depends on tissue type, staining...

0 Trinh Thi Le Vuong, et al. ∙

research

∙ 06/23/2022

TIAger: Tumor-Infiltrating Lymphocyte Scoring in Breast Cancer for the TiGER Challenge

The quantification of tumor-infiltrating lymphocytes (TILs) has been sho...

0 Adam Shephard, et al. ∙

research

∙ 06/16/2022

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

The aetiology of head and neck squamous cell carcinoma (HNSCC) involves ...

0 Ruoyu Wang, et al. ∙

research

∙ 02/28/2022

One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification

The recent surge in performance for image analysis of digitised patholog...

18 Simon Graham, et al. ∙

research

∙ 02/14/2022

Handcrafted Histological Transformer (H2T): Unsupervised Representation of Whole Slide Images

Diagnostic, prognostic and therapeutic decision-making of cancer in path...

7 Quoc Dang Vu, et al. ∙

research

∙ 02/06/2022

On Smart Gaze based Annotation of Histopathology Images for Training of Deep Convolutional Neural Networks

Unavailability of large training datasets is a bottleneck that needs to ...

0 Komal Mariam, et al. ∙

research

∙ 01/28/2022

REET: Robustness Evaluation and Enhancement Toolbox for Computational Pathology

Motivation: Digitization of pathology laboratories through digital slide...

6 Alex Foote, et al. ∙

research

∙ 12/17/2021

Towards Launching AI Algorithms for Cellular Pathology into Clinical Pharmaceutical Orbits

Computational Pathology (CPath) is an emerging field concerned with the ...

18 Amina Asif, et al. ∙

research

∙ 11/29/2021

CoNIC: Colon Nuclei Identification and Counting Challenge 2022

Nuclear segmentation, classification and quantification within Haematoxy...

3 Simon Graham, et al. ∙

research

∙ 10/12/2021

SlideGraph+: Whole Slide Image Level Graphs to Predict HER2Status in Breast Cancer

Human epidermal growth factor receptor 2 (HER2) is an important prognost...

27 Wenqi Lu, et al. ∙

research

∙ 09/02/2021

Stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challenge

The detection of mitotic figures from different scanners/sites remains a...

7 Mostafa Jahanifar, et al. ∙

research

∙ 08/30/2021

Robust Interactive Semantic Segmentation of Pathology Images with Minimal User Input

From the simple measurement of tissue attributes in pathology workflow t...

0 Mostafa Jahanifar, et al. ∙

research

∙ 08/25/2021

Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification

The development of deep segmentation models for computational pathology ...

4 Simon Graham, et al. ∙

research

∙ 08/24/2021

A QuadTree Image Representation for Computational Pathology

The field of computational pathology presents many challenges for comput...

0 Rob Jewsbury, et al. ∙

research

∙ 06/29/2021

Cells are Actors: Social Network Analysis with Classical ML for SOTA Histology Image Classification

Digitization of histology images and the advent of new computational met...

0 Neda Zamanitajeddin, et al. ∙

research

∙ 06/25/2021

Semantic annotation for computational pathology: Multidisciplinary experience and best practice recommendations

Recent advances in whole slide imaging (WSI) technology have led to the ...

14 Noorul Wahab, et al. ∙

research

∙ 06/14/2021

Now You See It, Now You Dont: Adversarial Vulnerabilities in Computational Pathology

Deep learning models are routinely employed in computational pathology (...

9 Alex Foote, et al. ∙

research

∙ 04/01/2021

Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis

The problem of recognizing various types of tissues present in multi-gig...

0 Nima Hatami, et al. ∙

research

∙ 03/08/2021

Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and Articles

We present ARCH, a computational pathology (CP) multiple instance captio...

8 Jevgenij Gamper, et al. ∙

research

∙ 02/21/2021

Classification of COVID-19 via Homology of CT-SCAN

In this worldwide spread of SARS-CoV-2 (COVID-19) infection, it is of ut...

39 Sohail Iqbal, et al. ∙

research

∙ 08/12/2020

Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations

While high-resolution pathology images lend themselves well to `data hun...

0 Navid Alemi Koohbanani, et al. ∙

research

∙ 08/11/2020

SAFRON: Stitching Across the Frontier for Generating Colorectal Cancer Histology Images

Synthetic images can be used for the development and evaluation of deep ...

4 Srijay Deshpande, et al. ∙

research

∙ 05/29/2020

NuClick: A Deep Learning Framework for Interactive Segmentation of Microscopy Images

Object Segmentation is an important step in the work-flow of computation...

8 Navid Alemi Koohbanani, et al. ∙

research

∙ 05/09/2020

Multi-Task Learning in Histo-pathology for Widely Generalizable Model

In this work we show preliminary results of deep multi-task learning in ...

0 Jevgenij Gamper, et al. ∙

research

∙ 04/06/2020

Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images

Histology images are inherently symmetric under rotation, where each ori...

0 Simon Graham, et al. ∙

research

∙ 03/24/2020

PanNuke Dataset Extension, Insights and Baselines

The emerging area of computational pathology (CPath) is ripe ground for ...

9 Jevgenij Gamper, et al. ∙

research

∙ 03/06/2020

Meta-SVDD: Probabilistic Meta-Learning for One-Class Classification in Cancer Histology Images

To train a robust deep learning model, one usually needs a balanced set ...

0 Jevgenij Gamper, et al. ∙

research

∙ 09/07/2019

NuClick: From Clicks in the Nuclei to Nuclear Boundaries

Best performing nuclear segmentation methods are based on deep learning ...

0 Mostafa Jahanifar, et al. ∙

research

∙ 09/03/2019

CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images

Colorectal cancer (CRC) grading is typically carried out by assessing th...

0 Yanning Zhou, et al. ∙

research

∙ 08/27/2019

Nuclear Instance Segmentation using a Proposal-Free Spatially Aware Deep Learning Framework

Nuclear segmentation in histology images is a challenging task due to si...

0 Navid Alemi Koohbanani, et al. ∙

research

∙ 12/16/2018

XY Network for Nuclear Segmentation in Multi-Tissue Histology Images

Nuclear segmentation within Haematoxylin & Eosin stained histology image...

0 Simon Graham, et al. ∙

research

∙ 10/31/2018

Methods for Segmentation and Classification of Digital Microscopy Tissue Images

High-resolution microscopy images of tissue specimens provide detailed i...

0 Quoc Dang Vu, et al. ∙

research

∙ 09/23/2018

Leveraging Transfer Learning for Segmenting Lesions and their Attributes in Dermoscopy Images

Computer-aided diagnosis systems for classification of different type of...

6 Navid Alemi Koohbanani, et al. ∙

research

∙ 08/22/2018

Nuclei Detection Using Mixture Density Networks

Nuclei detection is an important task in the histology domain as it is a...

0 Navid Alemi Koohababni, et al. ∙

research

∙ 08/02/2018

Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds

With multiple crowd gatherings of millions of people every year in event...

2 Haroon Idrees, et al. ∙

research

∙ 07/31/2018

Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection

Mitosis count is an important biomarker for prognosis of various cancers...

0 Saad Ullah Akram, et al. ∙

research

∙ 07/22/2018

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

Tumor proliferation is an important biomarker indicative of the prognosi...

0 Mitko Veta, et al. ∙

research

∙ 06/06/2018

Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions

International challenges have become the standard for validation of biom...

10 Lena Maier-Hein, et al. ∙

research

∙ 06/05/2018

MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images

The analysis of glandular morphology within colon histopathology images ...

0 Simon Graham, et al. ∙

research

∙ 05/09/2018

Fast and Accurate Tumor Segmentation of Histology Images using Persistent Homology and Deep Convolutional Features

Tumor segmentation in whole-slide images of histology slides is an impor...

0 Talha Qaiser, et al. ∙

research

∙ 01/23/2018

Novel digital tissue phenotypic signatures of distant metastasis in colorectal cancer

Distant metastasis is the major cause of death in colorectal cancer (CRC...

0 Korsuk Sirinukunwattana, et al. ∙

Nasir Rajpoot

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