b'Nasir Rajpoot'

Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis

The problem of recognizing various types of tissues present in multi-gig...
04/01/2021 ∙ by Nima Hatami, et al. ∙ 0 ∙ share

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Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and Articles

We present ARCH, a computational pathology (CP) multiple instance captio...
03/08/2021 ∙ by Jevgenij Gamper, et al. ∙ 8 ∙ share

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Classification of COVID-19 via Homology of CT-SCAN

In this worldwide spread of SARS-CoV-2 (COVID-19) infection, it is of ut...
02/21/2021 ∙ by Sohail Iqbal, et al. ∙ 39 ∙ share

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

While high-resolution pathology images lend themselves well to `data hun...
08/12/2020 ∙ by Navid Alemi Koohbanani, et al. ∙ 0 ∙ share

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

Synthetic images can be used for the development and evaluation of deep ...
08/11/2020 ∙ by Srijay Deshpande, et al. ∙ 4 ∙ share

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

Object Segmentation is an important step in the work-flow of computation...
05/29/2020 ∙ by Navid Alemi Koohbanani, et al. ∙ 8 ∙ share

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

In this work we show preliminary results of deep multi-task learning in ...
05/09/2020 ∙ by Jevgenij Gamper, et al. ∙ 0 ∙ share

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Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images

Histology images are inherently symmetric under rotation, where each ori...
04/06/2020 ∙ by Simon Graham, et al. ∙ 0 ∙ share

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PanNuke Dataset Extension, Insights and Baselines

The emerging area of computational pathology (CPath) is ripe ground for ...
03/24/2020 ∙ by Jevgenij Gamper, et al. ∙ 9 ∙ share

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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 ...
03/06/2020 ∙ by Jevgenij Gamper, et al. ∙ 0 ∙ share

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NuClick: From Clicks in the Nuclei to Nuclear Boundaries

Best performing nuclear segmentation methods are based on deep learning ...
09/07/2019 ∙ by Mostafa Jahanifar, et al. ∙ 0 ∙ share

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

Colorectal cancer (CRC) grading is typically carried out by assessing th...
09/03/2019 ∙ by Yanning Zhou, et al. ∙ 0 ∙ share

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

Nuclear segmentation in histology images is a challenging task due to si...
08/27/2019 ∙ by Navid Alemi Koohbanani, et al. ∙ 0 ∙ share

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XY Network for Nuclear Segmentation in Multi-Tissue Histology Images

Nuclear segmentation within Haematoxylin & Eosin stained histology image...
12/16/2018 ∙ by Simon Graham, et al. ∙ 0 ∙ share

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Methods for Segmentation and Classification of Digital Microscopy Tissue Images

High-resolution microscopy images of tissue specimens provide detailed i...
10/31/2018 ∙ by Quoc Dang Vu, et al. ∙ 0 ∙ share

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

Computer-aided diagnosis systems for classification of different type of...
09/23/2018 ∙ by Navid Alemi Koohbanani, et al. ∙ 6 ∙ share

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Nuclei Detection Using Mixture Density Networks

Nuclei detection is an important task in the histology domain as it is a...
08/22/2018 ∙ by Navid Alemi Koohababni, et al. ∙ 0 ∙ share

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

With multiple crowd gatherings of millions of people every year in event...
08/02/2018 ∙ by Haroon Idrees, et al. ∙ 2 ∙ share

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Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection

Mitosis count is an important biomarker for prognosis of various cancers...
07/31/2018 ∙ by Saad Ullah Akram, et al. ∙ 0 ∙ share

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

Tumor proliferation is an important biomarker indicative of the prognosi...
07/22/2018 ∙ by Mitko Veta, et al. ∙ 0 ∙ share

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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...
06/06/2018 ∙ by Lena Maier-Hein, et al. ∙ 10 ∙ share

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

The analysis of glandular morphology within colon histopathology images ...
06/05/2018 ∙ by Simon Graham, et al. ∙ 0 ∙ share

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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...
05/09/2018 ∙ by Talha Qaiser, et al. ∙ 0 ∙ share

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Novel digital tissue phenotypic signatures of distant metastasis in colorectal cancer

Distant metastasis is the major cause of death in colorectal cancer (CRC...
01/23/2018 ∙ by Korsuk Sirinukunwattana, et al. ∙ 0 ∙ share

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Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues

Evaluating expression of the Human epidermal growth factor receptor 2 (H...
05/23/2017 ∙ by Talha Qaiser, et al. ∙ 0 ∙ share

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Nasir Rajpoot

Featured Co-authors

Hao Chen

Pheng-Ann Heng

Mubarak Shah

Juho Kannala

Yan Xu

Qi Dou

Joachim Denzler

Bennett A. Landman

Danail Stoyanov

Bram van Ginneken

Lena Maier-Hein

Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis

Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and Articles

Classification of COVID-19 via Homology of CT-SCAN

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

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

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

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

Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images

PanNuke Dataset Extension, Insights and Baselines

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

NuClick: From Clicks in the Nuclei to Nuclear Boundaries

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

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

XY Network for Nuclear Segmentation in Multi-Tissue Histology Images

Methods for Segmentation and Classification of Digital Microscopy Tissue Images

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

Nuclei Detection Using Mixture Density Networks

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

Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection

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

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

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

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

Novel digital tissue phenotypic signatures of distant metastasis in colorectal cancer

Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues