yusuke1997/dblp-id-title huggingface dataset:
Quantitative analysis of TDLUs using adaptive morphological shape techniques
Automatic labeling of molecular biomarkers on a cell-by-cell basis in immunohistochemistry images using convolutional neural networks
Multi-instance multi-label learning for whole slide breast histopathology
Integration of co-localized glandular morphometry and protein biomarker expression in immunofluorescent images for prostate cancer prognosis
Quantitative diagnosis of tongue cancer from histological images in an animal model
Entropy based quantification of Ki-67 positive cell images and its evaluation by a reader study
Segmentation of digitized histological sections for vasculature quantification in the mouse hind limb
Automated plasmodia recognition in microscopic images for diagnosis of malaria using convolutional neural networks
Learning semantic histopathological representation for basal cell carcinoma classification
Toward quantitative digital histopathology for prostate cancer: comparison of inter-slide interpolation methods for tumour measurement
Distance ordinal regression loss for an improved nuclei segmentation
Breast cancer magnification-independent multi-class histopathology classification using dual-step model
CellSegNet: an adaptive multi-resolution hybrid network for cell segmentation
Multi-class semantic cell segmentation and classification of aplasia in bone marrow histology images
H&E stain augmentation improves generalization of convolutional networks for histopathological mitosis detection
End-to-end classification on basal-cell carcinoma histopathology whole-slides images
Tensor-based computation and modeling in multi-resolution digital pathology imaging: application to follicular lymphoma grading
SlideSeg: a Python module for the creation of annotated image repositories from whole slide images
Realistic cross-domain microscopy via conditional generative adversarial networks: converting immunofluorescence to hematoxylin and eosin
On the benefits of region of interest detection for whole slide image classification
Influence of cell-type ratio on spatially resolved single-cell transcriptomes using the Tangram algorithm: based on implementation on single-cell and MxIF data
Identifying bladder layers from H and E images using U-Net image segmentation
Automated grade classification of oral epithelial dysplasia using morphometric analysis of histology images
Aging display's effect on interpretation of digital pathology slide
Automatic scale-independent morphology-based quantification of liver fibrosis
Examining structural patterns and causality in diabetic nephropathy using inter-glomerular distance and Bayesian graphical models
Phenotyping tumor infiltrating lymphocytes (PhenoTIL) on H&E tissue images: predicting recurrence in lung cancer
Weakly supervised histopathological image representation learning based on contrastive dynamic clustering
High-definition Fourier transform infrared spectroscopic imaging of prostate tissue
Automatic cancer detection and localization on prostatectomy histopathology images
Semi-supervised breast cancer histology classification using deep multiple instance learning and contrast predictive coding (Conference Presentation)
A structure-based approach for colon gland segmentation in digital pathology
Automatic flagging of AI segmentation errors in computational pathology
Medical Imaging 2023: Digital and Computational Pathology, San Diego, CA, USA, February 19-23, 2023
Multiple-datasets and multiple-label based color normalization in histopathology with cGAN
Automatic generation of the ground truth for tumor budding using H&E stained slides
Analysing hyperplasia in Atlantic salmon gills using empirical wavelets
Zooming in: high resolution 3D reconstruction of differently stained histological whole slide images
Computer-assisted bladder cancer grading: α-shapes for color space decomposition
Characterization of color normalization methods in digital pathology whole slide images
Background detection affects downstream classification of Camelyon16 whole slide images
Pathological Gleason prediction through gland ring morphometry in immunofluorescent prostate cancer images
Automated renal histopathology: digital extraction and quantification of renal pathology
Spatial analysis of cellular arrangement using quantitative, single-cell imaging of protein multiplexing
Does the choice of display system influence perception and visibility of clinically relevant features in digital pathology images?
Validation of multiplex immunohistochemistry assays using automated image analysis
Texture features distinguish benign cell clusters from adenocarcinomas on bile duct brushing cytology images
A deep learning approach to assess the predominant tumor growth pattern in whole-slide images of lung adenocarcinoma
An automated method for counting cytotoxic T-cells from CD8 stained images of renal biopsies
Quantification of relative chromatin content in flow cytometry standards using 3D OPTM imaging technique
Tau protein discrete aggregates in Alzheimer's disease: neuritic plaques and tangles detection and segmentation using computational histopathology
Automatic segmentation of histopathological slides of renal tissue using deep learning
Scale embedding shared neural networks for multiscale histological analysis of prostate cancer
Computer assisted detection of regions of interest in histopathology using a hybrid supervised and unsupervised approach
Automatic choroid cells segmentation and counting in fluorescence microscopic image
Automatic glandular and tubule region segmentation in histological grading of breast cancer
Computational analysis of cerebrovascular structures imaged using two-photon microscopy
Co-registration tool for large format whole mount prostate multi-plex histology
Color accuracy and reproducibility in whole slide imaging scanners
Multi-class stain separation using independent component analysis
Weakly supervised deep learning for predicting the response to hormonal treatment of women with atypical endometrial hyperplasia: a feasibility study
YOLOX-based framework for nuclei detection on whole-slide histopathological RGB and hyperspectral images
The effects of sparsity induction methods on attention-based multiple instance learning applied to Camelyon16
Multiparametric MR imaging of prostate cancer foci: assessing the detectability and localizability of Gleason 7 peripheral zone cancers based on image contrasts
Hyperspectral microscopic imaging for the detection of head and neck squamous cell carcinoma on histologic slides
An automated approach to improve efficacy in detecting residual malignant cancer cell for facilitating prognostic assessment of leukemia: an initial study
Histopathological image classification based on self-supervised vision transformer and weak labels
The role of imaging based prostate biopsy morphology in a data fusion paradigm for transducing prognostic predictions
Automated identification of cardiomyocyte nuclei in H&E-stained heart tissue with CycleGAN
Generative modeling for label-free glomerular modeling and classification
A machine learning approach to quantifying noise in medical images
Multi-scale learning based segmentation of glands in digital colonrectal pathology images
Pixels to diagnosis: image analysis for digital pathology (Conference Presentation)
Harnessing generative adversarial networks to generate synthetic mitosis images for classification of cell images
Thyroid carcinoma detection on whole histologic slides using hyperspectral imaging and deep learning
CNN based segmentation of nuclei in PAP-smear images with selective pre-processing
A system for one-shot learning of cervical cancer cell classification in histopathology images
Lumen-based detection of prostate cancer via convolutional neural networks
Efficient 3D reconstruction of whole slide images in melanoma
Hyperspectral imaging and deep learning for the detection of breast cancer cells in digitized histological images
Structure preserving color deconvolution for immunohistochemistry images
Hyperspectral microscopic imaging for automatic detection of head and neck squamous cell carcinoma using histologic image and machine learning
A watershed and feature-based approach for automated detection of lymphocytes on lung cancer images
Quantitative analysis of Alzheimer's disease pathology in glioblastoma patients
3D profiling of amyloid plaque-associated microglia and neuronal damage on confocal fluorescence images to aid drug discovery in Alzheimer's disease
Color-texture based extreme learning machines for tissue tumor classification
Context-based interpolation of coarse deep learning prediction maps for the segmentation of fine structures in immunofluorescence images
Quantitative histomorphometric features of tumor nuclei are prognostic of disease-free survival in papillary thyroid carcinoma
Registration of whole-mount histology and tomography of the prostate using particle filtering
Automatic microscopic cell counting by use of unsupervised adversarial domain adaptation and supervised density regression
Psycho-visual evaluation of image quality attributes in digital pathology slides viewed on a medical color LCD display
Deep learning segmentation of invasive melanoma
Role of stain normalization in computational pathology: use case in metastatic tissue classification
Colorectal tumor identification by transferring knowledge from pan-cytokeratin to H&E
Selecting training samples for ovarian cancer classification via a semi-supervised clustering approach
Application and generalizability of U-Net segmentation of immune cells in inflamed tissue
Medical Imaging 2020: Digital Pathology, Houston, TX, USA, February 15-20, 2020
A bottom-up approach for tumour differentiation in whole slide images of lung adenocarcinoma
Nucleus detection using gradient orientation information and linear least squares regression
Scalable storage of whole slide images and fast retrieval of tiles using Apache Spark
Histological grading of the prostate carcinoma using deep learning: an unsupervised approach (Erratum)
Cancer detection in mass spectrometry imaging data by dilated convolutional neural networks
Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February - 3 March 2016
Investigating the potential of untrained convolutional layers and pruning in computational pathology
Computationally derived cytological image markers for predicting risk of relapse in acute myeloid leukemia patients following bone marrow transplantation
Survival time prediction from unannotated lung cancer histopathology images
An algorithm to evaluate the number of trabecular cell layers using nucleus arrangement applied to hepatocellular carcinoma
Convolutional neural networks for prostate cancer recurrence prediction
Image processing to extend effective OCT penetration depth in tissue
Deep learning convolutional networks for image quality assessment in ultra-widefield fluorescein angiography
Automatic microscopic cell counting by use of deeply-supervised density regression model
Front Matter: Volume 9791
High resolution whole prostate biopsy classification using streaming stochastic gradient descent
Predicting cell type counts in whole slide histology images using evidential multi-task learning
Miniature objective lens for array digital pathology: design improvement based on clinical evaluation
Medical Imaging 2018: Digital Pathology, Houston, Texas, United States, 10-15 February 2018
Glomerular detection and segmentation from multimodal microscopy images using a Butterworth band-pass filter
An investigation of aggregated transfer learning for classification in digital pathology
Adversarial U-net with spectral normalization for histopathology image segmentation using synthetic data
Cascaded ensemble of convolutional neural networks and handcrafted features for mitosis detection
Medulloblastoma tumor classification using deep transfer learning with multi-scale EfficientNets
An end-to-end pipeline for 3D slide-wise multi-stain renal pathology registration
Automatic cancer sub-grading on digital histopathology images of radical prostatectomy specimens
Cancer cell segmentation for cellularity prediction via a weakly labeled/strongly labeled hybrid convolutional neural network
Dawn of the digital diagnosis assisting system, can it open a new age for pathology?
Automatic color unmixing of IHC stained whole slide images
Multi-stained whole slide image alignment in digital pathology
Nucleus segmentation in histology images with hierarchical multilevel thresholding
Automatic classification of hepatocellular carcinoma images based on nuclear and structural features
In silico multi-compartment detection based on multiplex immunohistochemical staining in renal pathology
Generative modeling for renal microanatomy
Combining multiple ground truth annotations for segmentation training for oral cavity cancer
In the use of artificial intelligence and hyperspectral imaging in digital pathology for breast cancer cell identification
Deep modality association learning using histopathology images and immune cell sequencing data
Meningioma subtype classification using morphology features and random forests
Shape-based tumor microenvironment analysis to differentiate non-small cell lung cancer subtypes: a radio-pathomic study
Determining tumor cellularity in digital slides using ResNet
Cancer detection in histopathology whole-slide images using conditional random fields on deep embedded spaces
Fast GPU-based segmentation of H&E stained squamous epithelium from multi-gigapixel tiled virtual slides
Skeleton-based image registration of serial electron microscopy sections
Unsupervised segmentation of H and E breast images
Cell phenotyping using unsupervised clustering on multiplexed fluorescence images of breast cancer tissue specimens
Adaptive local thresholding for robust nucleus segmentation utilizing shape priors
Compactness measures of tumor infiltrating lymphocytes in lung adenocarcinoma are associated with overall patient survival and immune scores
Automatic high-grade cancer detection on prostatectomy histopathology images
Digital pathology with hyperspectral imaging for colon and ovarian cancer
Transfer learning approach for intraoperative pixel-based diagnosis of colon cancer metastasis in a liver from hematoxylin-eosin stained specimens
Cell cluster graph for prediction of biochemical recurrence in prostate cancer patients from tissue microarrays
Evaluating color performance of whole-slide imaging devices by multispectral-imaging of biological tissues
RaPtomics: integrating radiomic and pathomic features for predicting recurrence in early stage lung cancer
Automatic tumour segmentation in H&E-stained whole-slide images of the pancreas
Improving quantification of renal fibrosis using deep-DUET
Investigating intra-tumor heterogeneity in non-small cell lung cancer using multiplexed immunohistochemistry and deep learning
3D morphological measurement of whole slide histological vasculature reconstructions
Tissue imaging using optical projection tomographic microscopy
Medical Imaging 2019: Digital Pathology, San Diego, California, United States, 16-21 February 2019
Toward automatic segmentation and quantification of tumor and stroma in whole-slide images of H and E stained rectal carcinomas
Medical Imaging 2014: Digital Pathology, San Diego, California, United States, 15-20 February 2014
RAE-Net: a deep learning system for staging of estrous cycle
Intraoperative neuropathology of glioma recurrence: cell detection and classification
Determining local and contextual features describing appearance of difficult to identify mitotic figures
Combination of nuclear NF-κB/p65 localization and gland morphological features from surgical specimens appears to be predictive of early biochemical recurrence in prostate cancer patients
Automatic computational labeling of glomerular textural boundaries
Evaluation of nucleus segmentation in digital pathology images through large scale image synthesis
Deep ordinal regression for automatic tumor cellularity assessment from pathological images
Histographs: graphs in histopathology
Deep learning-based integration of histology, radiology, and genomics for improved survival prediction in glioma patients
Active deep learning reduces annotation burden in automatic cell segmentation
Detecting mitotic figures in breast cancer histopathology images
Data-driven sampling method for building 3D anatomical models from serial histology
Color normalization of histology slides using graph regularized sparse NMF
A novel spectral imaging system for use during pancreatic cancer surgery
Deep variational auto-encoders for unsupervised glomerular classification
An automated approach for annotating Gleason patterns in whole-mount prostate cancer histology using deep learning
Computational analysis of the structural progression of human glomeruli in diabetic nephropathy
Detecting cells in time varying intensity images in confocal microscopy for gene expression studies in living cells
Anisotropic tubular filtering for automatic detection of acid-fast bacilli in Ziehl-Neelsen stained sputum smear samples
Comparing architectural features between heuristically human-annotated and Artificial Intelligence (AI) generated tumor and satellite labels in early-stage oral cavity cancer
3D human lung histology reconstruction and registration to in vivo imaging
Sparse capsule networks for informative representation learning in digital pathology
Multimodal fusion of histology and molecular features for improved survival outcome prediction (Conference Presentation)
Selection of the best features for leukocytes classification in blood smear microscopic images
SHIFT: speedy histopathological-to-immunofluorescent translation of whole slide images using conditional generative adversarial networks
Machine learning-based approach for fully automated segmentation of muscularis propria from histopathology images of intestinal specimens
Making esophageal squamous cell carcinoma survival prediction from histopathological images and CT images
Unsupervised pathology image segmentation using representation learning with spherical k-means
Prostate malignancy grading using gland-related shape descriptors
Unsupervised super resolution network for hyperspectral histologic imaging
Cell density in prostate histopathology images as a measure of tumor distribution
Differentiation of arterioles from venules in mouse histology images using machine learning
Accurate segmentation of nuclear instances using a double-stage neural network
Single stain normalization for IHC whole slide images
HistoLens: a generalizable tool for increasing accessibility and interpretability of quantitative analyses in digital pathology
Detecting and segmenting overlapping red blood cells in microscopic images of thin blood smears
Deformable histopathology-MRI image registration using deep learning
Automated high-grade prostate cancer detection and ranking on whole slide images
Two-tier classifier for identifying small objects in histological tissue classification: experiments with colon cancer tissue mapping
EM-based segmentation-driven color standardization of digitized histopathology
Predicting Crohn's disease severity in the colon using mixed cell nucleus density from pseudo labels
PythoStitcher: an iterative approach for stitching digitized tissue fragments into full resolution whole-mount reconstructions
A discriminant multi-scale histopathology descriptor using dictionary learning
Neutrophil Extracellular Traps (NETs): an unexplored territory in renal pathobiology, a pilot computational study
Automatic detection of small areas of Gleason grade 5 in prostate tissue using CNN
Procedural generation of synthetic multiplex immunohistochemistry images using cell-based image compression and conditional generative adversarial networks
An application of transfer learning to neutrophil cluster detection for tuberculosis: efficient implementation with nonmetric multidimensional scaling and sampling
WeakSTIL: weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need
Systematic comparison of deep learning strategies for weakly supervised Gleason grading
Multi-scale local explanation approach for image analysis using model-agnostic Explainable Artificial Intelligence (XAI)
Fully automated classification of glomerular lesions in lupus nephritis
Clot organization on histology is associated with radiomics features that predict treatment outcomes from mechanical thrombectomy
Spatially aware transformer networks for contextual prediction of diabetic nephropathy progression from whole slide images
Convolutional neural networks for an automatic classification of prostate tissue slides with high-grade Gleason score
Three-dimensional shape and topology analysis of tissue-cleared tumor samples
Front Matter: Volume 8676
Identifying the origination of liver metastasis using a hand-crafted computational pathology approach
Landmark-based reconstruction of 3D smooth structures from serial histological sections
Effect of color-normalization on deep learning segmentation models for tumor-infiltrating lymphocytes scoring using breast cancer histopathology images
Extended depth of field imaging for mosaic hyperspectral images
FIBI: a direct-to-digital microscopy approach for slide-free histology
Fragile neural networks: the importance of image standardization for deep learning in digital pathology
Display systems for digital pathology: what are proper luminance, contrast and resolution settings?
Integrative analysis on histopathological image for identifying cellular heterogeneity
Assessing color reproducibility of whole-slide imaging scanners
Deformable registration of histological cancer margins to gross hyperspectral images using demons
Tissue classification of liver pathological tissue specimens image using spectral features
Preliminary radiomic texture analysis of high-channel fluorescence confocal images of triple-negative breast cancer biopsies
Front Matter: Volume 12039
Identification of molecular cell type of breast cancer on digital histopathology images using deep learning and multiplexed fluorescence imaging
Calibration and test of a hyperspectral imaging prototype for intra-operative surgical assistance
The presence and location of podocytes in glomeruli as affected by diabetes mellitus
Conditional generative adversarial network for synthesizing hyperspectral images of breast cancer cells from digitized histology
Quantification of tumor morphology via 3D histology: application to oral cavity cancers
Minimizing the intra-pathologist disagreement for tumor bud detection on H&E images using weakly supervised learning
Segmentation of vessel structures in serial whole slide sections using region-based context features
Personalized stain style transfer layers for distributed histology classification
Localization and classification of cell nuclei in post-neoadjuvant breast cancer surgical specimen using fully convolutional networks
Hierarchical nucleus segmentation in digital pathology images
Predicting HER2 scores from registered HER2 and H&E images
Spatial uncertainty aggregation for false negatives detection in breast cancer metastases segmentation
A deep learning-based computational prediction model for characterizing cellular biomarker distribution in tumor microenvironment
Semi-supervised contrastive learning for white blood cell segmentation from label-free quantitative phase imaging
Prediction of tumor mutation burden from H&E whole-slide images: a comparison of training strategies with convolutional neural networks
Combatting out-of-distribution errors using model-agnostic meta-learning for digital pathology
A computational framework to detect normal and tuberculosis infected lung from H and E-stained whole slide images
A novel texture descriptor for detection of glandular structures in colon histology images
Managing class imbalance and differential staining of immune cell populations in multi-class instance segmentation of multiplexed immunofluorescence images of Lupus Nephritis biopsies
Single-pixel hyperspectral imaging for real-time cancer detection: detecting damage in ex vivo porcine tissue samples
Detection of squamous cell carcinoma in digitized histological images from the head and neck using convolutional neural networks