Nasir M. Rajpoot
Orcid: 0000-0002-4706-1308Affiliations:
- University of Warwick, Department of Computer Science
According to our database1,
Nasir M. Rajpoot
authored at least 208 papers
between 1998 and 2024.
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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
Medical Image Anal., January, 2024
Consistency regularisation in varying contexts and feature perturbations for semi-supervised semantic segmentation of histology images.
Medical Image Anal., January, 2024
StainFuser: Controlling Diffusion for Faster Neural Style Transfer in Multi-Gigapixel Histology Images.
CoRR, 2024
An AI based Digital Score of Tumour-Immune Microenvironment Predicts Benefit to Maintenance Immunotherapy in Advanced Oesophagogastric Adenocarcinoma.
CoRR, 2024
CoRR, 2024
On generalisability of segment anything model for nuclear instance segmentation in histology images.
CoRR, 2024
2023
J. Medical Syst., December, 2023
Medical Image Anal., August, 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
Unsupervised Mutual Transformer Learning for Multi-Gigapixel Whole Slide Image Classification.
CoRR, 2023
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.
CoRR, 2023
Mimicking a Pathologist: Dual Attention Model for Scoring of Gigapixel Histology Images.
CoRR, 2023
CoRR, 2023
Growth Pattern Fingerprinting for Automatic Analysis of Lung Adenocarcinoma Overall Survival.
IEEE Access, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
On Smart Gaze Based Annotation of Histopathology Images for Training of Deep Convolutional Neural Networks.
IEEE J. Biomed. Health Informatics, 2022
Medical Image Anal., 2022
Medical Image Anal., 2022
SAFRON: Stitching Across the Frontier Network for Generating Colorectal Cancer Histology Images.
Medical Image Anal., 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
CoRR, 2022
CoRR, 2022
Deep Learning based Prediction of MSI in Colorectal Cancer via Prediction of the Status of MMR Markers.
CoRR, 2022
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification.
CoRR, 2022
Bioinform., 2022
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
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 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
Multi-scale Attention-Based Multiple Instance Learning for Classification of Multi-gigapixel Histology Images.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
IMPaSh: A Novel Domain-Shift Resistant Representation for Colorectal Cancer Tissue Classification.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
2021
IEEE Trans. Medical Imaging, 2021
Self-Path: Self-Supervision for Classification of Pathology Images With Limited Annotations.
IEEE Trans. Medical Imaging, 2021
Spatially Constrained Context-Aware Hierarchical Deep Correlation Filters for Nucleus Detection in Histology Images.
Medical Image Anal., 2021
Towards Launching AI Algorithms for Cellular Pathology into Clinical & Pharmaceutical Orbits.
CoRR, 2021
FedDropoutAvg: Generalizable federated learning for histopathology image classification.
CoRR, 2021
CoRR, 2021
L1-regularized neural ranking for risk stratification and its application to prediction of time to distant metastasis in luminal node negative chemotherapy naïve breast cancer patients.
CoRR, 2021
Semantic annotation for computational pathology: Multidisciplinary experience and best practice recommendations.
CoRR, 2021
Now You See It, Now You Dont: Adversarial Vulnerabilities in Computational Pathology.
CoRR, 2021
A digital score of tumour-associated stroma infiltrating lymphocytes predicts survival in head and neck squamous cell carcinoma.
CoRR, 2021
CoRR, 2021
Dense-CaptionNet: a Sentence Generation Architecture for Fine-grained Description of Image Semantics.
Cogn. Comput., 2021
IEEE Access, 2021
L<sub>1</sub>-Regularized Neural Ranking for Risk Stratification and Its Application to Prediction of Time to Distant Metastasis in Luminal Node Negative Chemotherapy Naïve Breast Cancer Patients.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021
All You Need is Color: Image Based Spatial Gene Expression Prediction Using Neural Stain Learning.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021
Simple non-iterative clustering and CNNs for coarse segmentation of breast cancer whole-slide images.
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021
Cells are Actors: Social Network Analysis with Classical ML for SOTA Histology Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 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
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
Robust Interactive Semantic Segmentation of Pathology Images with Minimal User Input.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 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
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
Multiple Instance Captioning: Learning Representations From Histopathology Textbooks and Articles.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 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
Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images.
IEEE Trans. Medical Imaging, 2020
IEEE Trans. Medical Imaging, 2020
Multiplex Cellular Communities in Multi-Gigapixel Colorectal Cancer Histology Images for Tissue Phenotyping.
IEEE Trans. Image Process., 2020
FABnet: feature attention-based network for simultaneous segmentation of microvessels and nerves in routine histology images of oral cancer.
Neural Comput. Appl., 2020
NuClick: A deep learning framework for interactive segmentation of microscopic images.
Medical Image Anal., 2020
Cellular community detection for tissue phenotyping in colorectal cancer histology images.
Medical Image Anal., 2020
SAFRON: Stitching Across the Frontier for Generating Colorectal Cancer Histology Images.
CoRR, 2020
NuClick: A Deep Learning Framework for Interactive Segmentation of Microscopy Images.
CoRR, 2020
Meta-SVDD: Probabilistic Meta-Learning for One-Class Classification in Cancer Histology Images.
CoRR, 2020
Automated grade classification of oral epithelial dysplasia using morphometric analysis of histology images.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
Proceedings of the Simulation and Synthesis in Medical Imaging, 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
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring.
IEEE Trans. Medical Imaging, 2019
Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection.
IEEE Trans. Medical Imaging, 2019
IEEE J. Biomed. Health Informatics, 2019
Medical Image Anal., 2019
Fast and accurate tumor segmentation of histology images using persistent homology and deep convolutional features.
Medical Image Anal., 2019
Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images.
Medical Image Anal., 2019
MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images.
Medical Image Anal., 2019
An information fusion framework for person localization via body pose in spectator crowds.
Inf. Fusion, 2019
Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images.
CoRR, 2019
Nuclear Instance Segmentation Using a Proposal-Free Spatially Aware Deep Learning Framework.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
Deep Multiresolution Cellular Communities for Semantic Segmentation of Multi-Gigapixel Histology Images.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
Digital Tumor-Collagen Proximity Signature Predicts Survival in Diffuse Large B-Cell Lymphoma.
Proceedings of the Digital Pathology - 15th European Congress, 2019
Rota-Net: Rotation Equivariant Network for Simultaneous Gland and Lumen Segmentation in Colon Histology Images.
Proceedings of the Digital Pathology - 15th European Congress, 2019
PanNuke: An Open Pan-Cancer Histology Dataset for Nuclei Instance Segmentation and Classification.
Proceedings of the Digital Pathology - 15th European Congress, 2019
2018
J. Medical Syst., 2018
CoRR, 2018
Leveraging Transfer Learning for Segmenting Lesions and their Attributes in Dermoscopy Images.
CoRR, 2018
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge.
CoRR, 2018
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions.
CoRR, 2018
MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images.
CoRR, 2018
Novel digital tissue phenotypic signatures of distant metastasis in colorectal cancer.
CoRR, 2018
Proceedings of the Medical Image Understanding and Analysis - 22nd Conference, 2018
A Multi-resolution Deep Learning Framework for Lung Adenocarcinoma Growth Pattern Classification.
Proceedings of the Medical Image Understanding and Analysis - 22nd Conference, 2018
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018
A bottom-up approach for tumour differentiation in whole slide images of lung adenocarcinoma.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018
Significance of Hyperparameter Optimization for Metastasis Detection in Breast Histology Images.
Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018
Uncertainty Driven Pooling Network for Microvessel Segmentation in Routine Histology Images.
Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018
Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018
SAMS-NET: Stain-aware multi-scale network for instance-based nuclei segmentation in histology images.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Context-Aware Learning Using Transferable Features for Classification of Breast Cancer Histology Images.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018
Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds.
Proceedings of the Computer Vision - ECCV 2018, 2018
2017
IEEE Trans. Knowl. Data Eng., 2017
Dual-Channel Active Contour Model for Megakaryocytic Cell Segmentation in Bone Marrow Trephine Histology Images.
IEEE Trans. Biomed. Eng., 2017
Medical Image Anal., 2017
Multi-resolution cell orientation congruence descriptors for epithelium segmentation in endometrial histology images.
Medical Image Anal., 2017
Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues.
CoRR, 2017
Representation-Aggregation Networks for Segmentation of Multi-Gigapixel Histology Images.
CoRR, 2017
Comput. Biol. Medicine, 2017
Simultaneous Cell Detection and Classification with an Asymmetric Deep Autoencoder in Bone Marrow Histology Images.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017
MIMONet: Gland Segmentation Using Multi-Input-Multi-Output Convolutional Neural Network.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017
Tumor Segmentation in Whole Slide Images Using Persistent Homology and Deep Convolutional Features.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017
Hybrid deep autoencoder with Curvature Gaussian for detection of various types of cells in bone marrow trephine biopsy images.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 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
BMC Bioinform., 2016
Subcellular protein expression models for microsatellite instability in colorectal adenocarcinoma tissue images.
BMC Bioinform., 2016
BioData Min., 2016
Proceedings of the 20th Conference on Medical Image Understanding and Analysis, 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
How divided is a cell? Eigenphase nuclei for classification of mitotic phase in cancer histology images.
Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016
2015
IEEE Trans. Medical Imaging, 2015
A Global Covariance Descriptor for Nuclear Atypia Scoring in Breast Histopathology Images.
IEEE J. Biomed. Health Informatics, 2015
Registration of thermal and visible light images of diseased plants using silhouette extraction in the wavelet domain.
Pattern Recognit., 2015
Assessment of algorithms for mitosis detection in breast cancer histopathology images.
Medical Image Anal., 2015
Comput. Medical Imaging Graph., 2015
Localisation of luminal epithelium edge in digital histopathology images of IHC stained slides of endometrial biopsies.
Comput. Medical Imaging Graph., 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
Proceedings of the Medical Imaging 2015: Digital Pathology, 2015
A circumscribing active contour model for delineation of nuclei and membranes of megakaryocytes in bone marrow trephine biopsy images.
Proceedings of the Medical Imaging 2015: Digital Pathology, 2015
A novel texture descriptor for detection of glandular structures in colon histology images.
Proceedings of the Medical Imaging 2015: Digital Pathology, 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
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2014
A Nonlinear Mapping Approach to Stain Normalization in Digital Histopathology Images Using Image-Specific Color Deconvolution.
IEEE Trans. Biomed. Eng., 2014
DiSWOP: a novel measure for cell-level protein network analysis in localized proteomics image data.
Bioinform., 2014
A fast method for approximate registration of whole-slide images of serial sections using local curvature.
Proceedings of the Medical Imaging 2014: Digital Pathology, 2014
A Bayesian framework for cell-level protein network analysis for multivariate proteomics image data.
Proceedings of the Medical Imaging 2014: Digital Pathology, 2014
Geodesic Geometric Mean of Regional Covariance Descriptors as an Image-Level Descriptor for Nuclear Atypia Grading in Breast Histology Images.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
On generating cell exemplars for detection of mitotic cells in breast cancer histopathology images.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
A novel framework for exploratory analysis of highly variable morphology of migrating epithelial cells.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
Pattern Recognit., 2012
Mach. Vis. Appl., 2012
A Gamma-Gaussian mixture model for detection of mitotic cells in breast cancer histopathology images.
Proceedings of the 21st International Conference on Pattern Recognition, 2012
Automated Segmentation and Tracking of Dynamic Focal Adhesions in Time-Lapse Fluorescence Microscopy.
Proceedings of the Neural Information Processing - 19th International Conference, 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
2011
Hybrid Diversification Operator-Based Evolutionary Approach Towards Tomographic Image Reconstruction.
IEEE Trans. Image Process., 2011
BioIMAX: A Web 2.0 approach for easy exploratory and collaborative access to multivariate bioimage data.
BMC Bioinform., 2011
2010
Special Issue on New Advances in Video-Based Gait Analysis and Applications: Challenges and Solutions.
IEEE Trans. Syst. Man Cybern. Part B, 2010
Proceedings of the Recognizing Patterns in Signals, Speech, Images and Videos, 2010
2009
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
Multilateral filtering: A novel framework for generic similarity-based image denoising.
Proceedings of the International Conference on Image Processing, 2009
Proceedings of the British Machine Vision Conference, 2009
2008
Adaptive Discriminant Wavelet Packet Transform and Local Binary Patterns for Meningioma Subtype Classification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
Flexible synapse detection in fluorescence micrographs by modeling human expert grading.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Proceedings of the Image and Signal Processing - 3rd International Conference, 2008
Estimation of Dense, Non-rigid Motion Fields from a Multi-camera Array Using a Hierarchical Mixture Model.
Proceedings of the Articulated Motion and Deformable Objects, 5th International Conference, 2008
2007
Surface Estimation and Tracking using Sequential MCMC Methods for Video Based Rendering.
Proceedings of the International Conference on Image Processing, 2007
Proceedings of the British Machine Vision Conference 2007, 2007
Bayesian Surface Estimation from Multiple Cameras Using a Prior Based on the Visual Hull and its Application to Image Based Rendering.
Proceedings of the British Machine Vision Conference 2007, 2007
2006
Proceedings of the International Conference on Image Processing, 2006
2005
Proceedings of the Image Analysis, 14th Scandinavian Conference, 2005
Proceedings of the 2005 International Conference on Image Processing, 2005
Proceedings of the British Machine Vision Conference 2005, Oxford, UK, September 2005, 2005
2004
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004
Proceedings of the 2004 International Conference on Image Processing, 2004
Proceedings of the 2004 International Conference on Image Processing, 2004
Proceedings of the 2004 Data Compression Conference (DCC 2004), 2004
2003
IEEE Trans. Image Process., 2003
Proceedings of the 2003 Data Compression Conference (DCC 2003), 2003
Proceedings of the British Machine Vision Conference, 2003
2002
Proceedings of the 2002 Data Compression Conference (DCC 2002), 2002
2001
ACM J. Exp. Algorithmics, 2001
Proceedings of the 2001 International Conference on Image Processing, 2001
1999
Proceedings of the 1999 International Conference on Image Processing, 1999
1998
Implementation and Experimental Evaluation of Flexible Parsing for Dynamic Dictionary Based Data Compression.
Proceedings of the Algorithm Engineering, 2nd International Workshop, 1998