The Library
355 papers by Nasir Rajpoot, 1998–2026
2026
1998
2026
Implementation and experimental evaluation of flexible parsing for dynamic dictionary based data compression
The effect of flexible parsing for dynamic dictionary-based data compression
Adaptive wavelet image compression
Simulation of the rate-distortion behaviour of a memoryless Laplacian source
Dictionary-Based Data Compression
Stack-run adaptive wavelet image compression
Texture classification using discriminant wavelet packet subbands
Adaptive wavelet packet basis selection for zerotree image coding
SVM Optimization for Hyperspectral Colon Tissue Cell Classification
A novel image coding algorithm using ant colony system vector quantization
Hyperspectral colon tissue cell classification
Planelets : a new analysis tool for planar feature extraction
Human gait recognition with 3-D wavelets and kernel based subspace projections
Image denoising using multiscale directional cosine bases
Light Field Reconstruction Using a Planar Patch Model
Co-occurrence and morphological analysis for colon tissue biopsy classification
Classification of meningiomas using discriminant wavelet packets and learning vector quantization
Multiresolution particle filters in image processing
Scene reconstruction from multiple views using a locally planar model
Detection of nuclei by unsupervised manifold learning
Surface Estimation and Tracking using Sequential MCMC Methods for Video Based Rendering
Learning Shape Manifolds using Diusion Maps
Directional Wavelet Analysis with Fourier-Type Bases for Image Processing
Hyperspectral texture analysis for colon tissue biopsy classification
Comparative analysis of discriminant wavelet packet features and raw image features for classification of meningioma subtypes
Classification of colon biopsy samples by spatial analysis of a single spectral band from its hyperspectral cube
Stack-run adaptive wavelet image compression using wavelet packets
Adaptive Discriminant Wavelet Packet Transform and Local Binary Patterns for Meningioma Subtype Classification
Spatial analysis for colon biopsy classification from hyperspectral imagery
Discrete Wavelet Diffusion for Image Denoising
Unsupervised shape clustering using diffusion map
Estimation of a 3D motion field from a multi-camera array using a multiresolution Gaussian mixture model
Feature detection from echocardiography images using local phase information
Optimal wavelet basis for wavelet packets based meningioma subtype classification
Estimation of Dense, Non-rigid Motion Fields from a Multi-camera Array Using a Hierarchical Mixture Model
Histopathological Image Analysis: A Review
A robust adaptive wavelet-based method for classification of meningioma histology images
Proceedings MICCAI 2009 Workshop on Optical Tissue Microscopy, Histology, and Endoscopy (OPTIMHisE)
Pattern Recognition in Histopathological Images: An ICPR 2010 Contest
Histogram-based Image Quality Checking
Proceedings of medical image understanding and analysis 2010
Comparative analysis of spatial and transform domain methods for meningioma subtype classification
TOWARDS PROTEIN NETWORK ANALYSIS USING TIS IMAGING AND EXPLORATORY DATA ANALYSIS
Hybrid Diversification Operator-Based Evolutionary Approach Towards Tomographic Image Reconstruction
Quantification of cell infection caused by Listeria monocytogenes invasion
A Novel Paradigm for Mining Cell Phenotypes in Multi-tag Bioimages Using a Locality Preserving Nonlinear Embedding
Automated Segmentation and Tracking of Dynamic Focal Adhesions in Time-Lapse Fluorescence Microscopy
Bayesian Hierarchical Clustering with a Gaussian Conjugate Prior
Spatiotemporal maps of CaMKII in dendritic spines
RAMTaB: Robust Alignment of Multi-Tag Bioimages
A multiresolution framework for local similarity based image denoising
Toponome imaging system: multiplex biomarkers in oncology
Application of Hybrid Optoelectronic Correlator to Gabor Jet images for Rapid Object Recognition & Segmentation
Bayesian Hierarchical Clustering for Studying Cancer Gene Expression Data with Unknown Statistics
DiSWOP: a novel measure for cell-level protein network analysis in localized proteomics image data
Geodesic Geometric Mean of Regional Covariance Descriptors as an Image-Level Descriptor for Nuclear Atypia Grading in Breast Histology Images
Advances in Discovery of Complex Biomarkers for Colorectal Cancer Using Multiplexed Proteomics Imaging
A Novel Approach To Detection Of Glandular Structures In Colorectal Cancer Histology Images
Cell phenotyping in multi-tag fluorescent bioimages
A Nonlinear Mapping Approach to Stain Normalization in Digital Histopathology Images Using Image-Specific Color Deconvolution
Automatic Detection of Regions in Spinach Canopies Responding to Soil Moisture Deficit Using Combined Visible and Thermal Imagery
Localisation of luminal epithelium edge in digital histopathology images of IHC stained slides of endometrial biopsies
Cell words: Modelling the visual appearance of cells in histopathology images
Assessment of algorithms for mitosis detection in breast cancer histopathology images
A Spatially Constrained Deep Learning Framework for Detection of Epithelial Tumor Nuclei in Cancer Histology Images
A Novel Cell Orientation Congruence Descriptor for Superpixel Based Epithelium Segmentation in Endometrial Histology Images
Registration of thermal and visible light images of diseased plants using silhouette extraction in the wavelet domain
Automatic Detection of Diseased Tomato Plants Using Thermal and Stereo Visible Light Images
A Stochastic Polygons Model for Glandular Structures in Colon Histology Images
A Global Covariance Descriptor for Nuclear Atypia Scoring in Breast Histopathology Images
Functional Connectivity Alterations in Epilepsy from Resting-State Functional MRI
A novel multitarget tracking algorithm for Myosin VI protein molecules on actin filaments in TIRFM sequences
Validation of digital pathology imaging for primary histopathological diagnosis
Action Recognition in Spectator Crowds
Pose Detection for Partially Occluded Persons in Spectator Crowds
Additional file 1 of Robust normalization protocols for multiplexed fluorescence bioimage analysis
Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images
An Integrated Environment For Tissue Morphometrics And Analytics
Digital pathology image analysis: Challenges and opportunities
Gland segmentation in colon histology images: The glas challenge contest
Using Geodesic Space Density Gradients for Network Community Detection
Simultaneous automatic scoring and co‐registration of hormone receptors in tumor areas in whole slide images of breast cancer tissue slides
MIMONet: Gland Segmentation Using Multi-Input-Multi-Output Convolutional Neural Network
Tumor Segmentation in Whole Slide Images Using Persistent Homology and Deep Convolutional Features
Simultaneous Cell Detection and Classification with an Asymmetric Deep Autoencoder in Bone Marrow Histology Images
Stain Deconvolution Using Statistical Analysis of Multi-Resolution Stain Colour Representation
Multi-resolution cell orientation congruence descriptors for epithelium segmentation in endometrial histology images
Dual-Channel Active Contour Model for Megakaryocytic Cell Segmentation in Bone Marrow Trephine Histology Images
Representation-Aggregation Networks for Segmentation of Multi-Gigapixel Histology Images
Conceptual data sampling for breast cancer histology image classification
HER 2 challenge contest: a detailed assessment of automated HER 2 scoring algorithms in whole slide images of breast cancer tissues
Glyoxalase 1 copy number variation in patients with well differentiated gastro-entero-pancreatic neuroendocrine tumours (GEP-NET)
Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds
Computational Pathology and Ophthalmic Medical Image Analysis
Context-Aware Learning Using Transferable Features for Classification of Breast Cancer Histology Images
Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection
A Multi-resolution Deep Learning Framework for Lung Adenocarcinoma Growth Pattern Classification
Computational Pathology and Ophthalmic Medical Image Analysis First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 - 20, 2018, Proceedings
Uncertainty Driven Pooling Network for Microvessel Segmentation in Routine Histology Images
Nuclei Detection Using Mixture Density Networks
Cellular Community Detection for Tissue Phenotyping in Histology Images
Deep Autoencoder Features for Registration of Histology Images
Significance of Hyperparameter Optimization for Metastasis Detection in Breast Histology Images
Segmentation of Skin Lesions and their Attributes Using Multi-Scale Convolutional Neural Networks and Domain Specific Augmentations
Leveraging Transfer Learning for Segmenting Lesions and their Attributes in Dermoscopy Images.
Simultaneous Cell Detection and Classification in Bone Marrow Histology Images
An information fusion framework for person localization via body pose in spectator crowds
Micro-Net: A unified model for segmentation of various objects in microscopy images
XY Network for Nuclear Segmentation in Multi-Tissue Histology Images.
MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images
PanNuke: An Open Pan-Cancer Histology Dataset for Nuclei Instance Segmentation and Classification
Nuclear Instance Segmentation Using a Proposal-Free Spatially Aware Deep Learning Framework
Rota-Net: Rotation Equivariant Network for Simultaneous Gland and Lumen Segmentation in Colon Histology Images
Multi-person Head Segmentation in Low Resolution Crowd Scenes Using Convolutional Encoder-Decoder Framework
Digital Tumor-Collagen Proximity Signature Predicts Survival in Diffuse Large B-Cell Lymphoma
Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection
The use of digital pathology and image analysis in clinical trials
Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge
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
Artificial intelligence in digital pathology: a roadmap to routine use in clinical practice
A Hybrid Pipeline to Assess Oestrogen Receptor Stained Nuclei in Invasive Breast Cancer
NuClick: From Clicks in the Nuclei to Nuclear Boundaries
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images
Deep Multiresolution Cellular Communities for Semantic Segmentation of Multi-Gigapixel Histology Images
A Multi-Organ Nucleus Segmentation Challenge
FABnet: feature attention-based network for simultaneous segmentation of microvessels and nerves in routine histology images of oral cancer
Urinary Metabolomic Markers of Protein Glycation, Oxidation, and Nitration in Early-Stage Decline in Metabolic, Vascular, and Renal Health
Classification of Well Log Data Using Vanishing Component Analysis
Multiplex Cellular Communities in Multi-Gigapixel Colorectal Cancer Histology Images for Tissue Phenotyping
HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification
Train Small, Generate Big: Synthesis of Colorectal Cancer Histology Images
Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images
Dense-CaptionNet: a Sentence Generation Architecture for Fine-grained Description of Image Semantics
Meta-SVDD: Probabilistic Meta-Learning for One-Class Classification in Cancer Histology Images
PanNuke Dataset Extension, Insights and Baselines
Multi-Task Learning in Histo-pathology for Widely Generalizable Model
Capturing Cellular Topology in Multi-Gigapixel Pathology Images
Visual histological assessment of morphological features reflects the underlying molecular profile in invasive breast cancer: a morphomolecular study
Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images
The International Collaboration for Cancer Classification and Research
Diagnostic concordance and discordance in digital pathology: a systematic review and meta-analysis
All You Need is Color: Image Based Spatial Gene Expression Prediction Using Neural Stain Learning
Tumour Nuclear Morphometrics Predict Survival in Lung Adenocarcinoma
Cells are Actors: Social Network Analysis with Classical ML for SOTA Histology Image Classification
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
Deep learning based digital cell profiles for risk stratification of urine cytology images
Self-Path: Self-Supervision for Classification of Pathology Images With Limited Annotations
Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis
Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and Articles
Now You See It, Now You Dont: Adversarial Vulnerabilities in Computational Pathology
A Novel Cell Map Representation for Weakly Supervised Prediction of ER & PR Status from H&E WSIs
Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification
Simultaneous Nuclear Instance and Layer Segmentation in Oral Epithelial Dysplasia
Robust Interactive Semantic Segmentation of Pathology Images with Minimal User Input
ALBRT: Cellular Composition Prediction in Routine Histology Images
A QuadTree Image Representation for Computational Pathology
Development and validation of a weakly supervised deep learning framework to predict the status of molecular pathways and key mutations in colorectal cancer from routine histology images: a retrospective study
A digital score of tumour‐associated stroma infiltrating lymphocytes predicts survival in head and neck squamous cell carcinoma
FedDropoutAvg: Generalizable federated learning for histopathology image classification
CoNIC: Colon Nuclei Identification and Counting Challenge 2022
Towards Launching AI Algorithms for Cellular Pathology into Clinical & Pharmaceutical Orbits
A Neural Architecture Search Based Framework for Segmentation of Epithelium, Nuclei and Oral Epithelial Dysplasia Grading
Nuclear Segmentation and Classification: On Color and Compression Generalization
A Novel Framework for Coarse-Grained Semantic Segmentation of Whole-Slide Images
Morph-Net: End-to-End Prediction of Nuclear Morphological Features from Histology Images
Generative models for synthesis of colorectal cancer histology images
Semantic annotation for computational pathology: multidisciplinary experience and best practice recommendations
Feasibility of Training Community Health Workers in the Detection of Oral Cancer
On Smart Gaze Based Annotation of Histopathology Images for Training of Deep Convolutional Neural Networks
Deep Learning based Prediction of MSI using MMR Markers in Colorectal Cancer
Metrics reloaded: Recommendations for image analysis validation
Rank the triplets: A ranking-based multiple instance learning framework for detecting HPV infection in head and neck cancers using routine H&E images
TIAger: Tumor-Infiltrating Lymphocyte Scoring in Breast Cancer for the TiGER Challenge
Role of AI and digital pathology for colorectal immuno-oncology
IMPaSh: A Novel Domain-Shift Resistant Representation for Colorectal Cancer Tissue Classification
Multi-scale Attention-Based Multiple Instance Learning for Classification of Multi-gigapixel Histology Images
Growth Pattern Fingerprinting for Automatic Analysis of Lung Adenocarcinoma Overall Survival
Artificial intelligence‐based digital scores of stromal tumour‐infiltrating lymphocytes and tumour‐associated stroma predict disease‐specific survival in triple‐negative breast cancer
Understanding metric-related pitfalls in image analysis validation
Synthesis of Annotated Colorectal Cancer Tissue Images from Gland Layout
Screening of normal endoscopic large bowel biopsies with interpretable graph learning: a retrospective study
Why is the Winner the Best?
A digital score of peri‐epithelial lymphocytic activity predicts malignant transformation in oral epithelial dysplasia
Unleashing the potential of AI for pathology: challenges and recommendations
Pitfalls in machine learning‐based assessment of tumor‐infiltrating lymphocytes in breast cancer: A report of the International Immuno‐Oncology Biomarker Working Group on Breast Cancer
Spatial analyses of immune cell infiltration in cancer: current methods and future directions: A report of the International Immuno‐Oncology Biomarker Working Group on Breast Cancer
Development and validation of a multivariable model for prediction of malignant transformation and recurrence of oral epithelial dysplasia
Detection and quantitative enumeration of objects from large images
Evaluation of tumour infiltrating lymphocytes in luminal breast cancer using artificial intelligence
AI‐based intra‐tumor heterogeneity score of Ki67 expression as a prognostic marker for early‐stage ER+/HER2− breast cancer
Development and validation of artificial intelligence-based prescreening of large-bowel biopsies taken in the UK and Portugal: a retrospective cohort study
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset
Transformer-based Model for Oral Epithelial Dysplasia Segmentation
Image‐based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno‐oncology Biomarker Working Group on Breast Cancer
Digital pathology for reporting histopathology samples, including cancer screening samples – definitive evidence from a multisite study
On generalisability of segment anything model for nuclear instance segmentation in histology images
TIAViz: A Browser-based Visualization Tool for Computational Pathology Models
StainFuser: Controlling Diffusion for Faster Neural Style Transfer in Multi-Gigapixel Histology Images
Ouroboros: cross-linking protein expression perturbations and cancer histology imaging with generative-predictive modeling
Benchmarking Domain Generalization Algorithms in Computational Pathology
Stain-Invariant Representation for Tissue Classification in Histology Images
A novel AI-based score for assessing the prognostic value of intra-epithelial lymphocytes in oral epithelial dysplasia
A Novel Approach to Linking Histology Images with DNA Methylation
Foundation Models in Computational Pathology: A Review of Challenges, Opportunities, and Impact
Tumor-infiltrating lymphocytes in breast cancer through artificial intelligence: biomarker analysis from the results of the TIGER challenge
Domain Generalization in Computational Pathology: Survey and Guidelines
Pan-Cancer Profiling of Mitotic Topology & Mitotic Errors: Insights into Prognosis, Genomic Alterations, and Immune Landscape
Revealing Shared Tumor Microenvironment Dynamics Related to Microsatellite Instability Across Different Cancers Using Cellular Social Network Analysis
Artificial intelligence for tumor-infiltrating lymphocytes (TILs) assessment in breast cancer: a narrative review
PS3: A Multimodal Transformer Integrating Pathology Reports with Histology Images and Biological Pathways for Cancer Survival Prediction
Star-Motifs: Revealing Single-Cell Spatiotypes from Routine Histology Using Star-Convex Neighborhoods
A Deep Learning Framework for Thyroid Nodule Segmentation and Malignancy Classification from Ultrasound Images
Novel growth pattern‐specific digital marker of TILs improves stratification of lung adenocarcinoma patients
MPath: Multimodal Pathology Report Generation from Whole Slide Images
Independent Multicentre Validation of the ‘Six‐Point’ Model for Malignant Transformation Risk in Oral Epithelial Dysplasia
ShapeSpaceExplorer: Analysis of morphological transitions in migrating cells using similarity-based shape space mapping
Confounding factors and biases abound when predicting molecular biomarkers from histological images
Analysis of computational tumor-infiltrating lymphocytes in breast cancer from the results of the TIGER challenge
An evaluation of artificial intelligence assisted prostate biopsy reporting in the Articulate Pro study
Progressive image coding using augmented zerotrees of wavelet coefficients
Hyperspectral colon biopsy classification into normal and malignant categories
A novel framework for molecular co-expression pattern analysis in multi-channel toponome fluorescence images
Cross-Modal Prediction of DNA Methylation from Histology Images
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