RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency | Paper Citation Record

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RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency https : / / www

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RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency https://www

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This paper cites Multi-class cell detec- tion using spatial context representation.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Multi-class cell detec- tion using spatial context representation

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This paper cites Novatest: identifying genes with location-dependent noise variance in spatial transcrip- tomics data.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Novatest: identifying genes with location-dependent noise variance in spatial transcrip- tomics data

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This paper cites Spatial de- convolution of her2-positive breast cancer delineates tumor- associated cell type interactions.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Spatial de- convolution of her2-positive breast cancer delineates tumor- associated cell type interactions

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This paper cites Robust cross-modal representation learning with progressive self- distillation.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Robust cross-modal representation learning with progressive self- distillation

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This paper cites Digital pathology and computational image analysis in nephropathology.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Digital pathology and computational image analysis in nephropathology

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This paper cites Learning to rank using gradient descent.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Learning to rank using gradient descent

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This paper cites Emerg- ing properties in self-supervised vision transformers.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Emerg- ing properties in self-supervised vision transformers

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This paper cites Stimage-1k4m: A histopathology image-gene expression dataset for spatial transcriptomics.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Stimage-1k4m: A histopathology image-gene expression dataset for spatial transcriptomics

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This paper cites Multimodal co-attention transformer for survival prediction in gigapixel whole slide images.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Multimodal co-attention transformer for survival prediction in gigapixel whole slide images

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This paper cites Scaling vision transformers to gigapixel images via hierarchical self-supervised learning.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Scaling vision transformers to gigapixel images via hierarchical self-supervised learning

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This paper cites Towards a general-purpose foundation model for com- putational pathology.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Towards a general-purpose foundation model for com- putational pathology

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This paper cites A simple framework for contrastive learning of visual representations.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency A simple framework for contrastive learning of visual representations

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This paper cites Accurate spatial gene expression prediction by integrating multi-resolution features.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Accurate spatial gene expression prediction by integrating multi-resolution features

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This paper cites Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning

Reference 18

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This paper cites Solving the multiple instance problem with axis-parallel rectangles.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Solving the multiple instance problem with axis-parallel rectangles

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This paper cites Image analysis reveals molec- ularly distinct patterns of tils in nsclc associated with treat- ment outcome.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Image analysis reveals molec- ularly distinct patterns of tils in nsclc associated with treat- ment outcome

Reference 20

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This paper cites A system- atic comparison of deep learning methods for gleason grad- ing and scoring.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency A system- atic comparison of deep learning methods for gleason grad- ing and scoring

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This paper cites Cyclip: Cyclic contrastive language-image pretraining.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Cyclip: Cyclic contrastive language-image pretraining

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This paper cites Hover-net: Simultaneous segmentation and clas- sification of nuclei in multi-tissue histology images.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Hover-net: Simultaneous segmentation and clas- sification of nuclei in multi-tissue histology images

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This paper cites Integrating spatial gene expression and breast tumour morphology via deep learning.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Integrating spatial gene expression and breast tumour morphology via deep learning

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This paper cites Deep residual learning for image recognition.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Deep residual learning for image recognition

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RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Momentum contrast for unsupervised visual rep- resentation learning

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This paper cites Cellvit: Vision trans- formers for precise cell segmentation and classification.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Cellvit: Vision trans- formers for precise cell segmentation and classification

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This paper cites A visual–language foundation model for pathology image analysis using medical twitter.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency A visual–language foundation model for pathology image analysis using medical twitter

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RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Position: The platonic representation hypothesis

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RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Attention-based deep multiple instance learning

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RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency nnu-net: a self-configuring method for deep learning-based biomedical image segmen- tation

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RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Hest-1k: A dataset for spatial transcriptomics and his- tology image analysis

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This paper cites Multimodal analysis of composition and spatial ar- chitecture in human squamous cell carcinoma.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Multimodal analysis of composition and spatial ar- chitecture in human squamous cell carcinoma

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This paper cites Si-mil: Taming deep mil for self-interpretability in gigapixel histopathology.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Si-mil: Taming deep mil for self-interpretability in gigapixel histopathology

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This paper cites Uti- lizing automated breast cancer detection to identify spatial distributions of tumor-infiltrating lymphocytes in invasive breast cancer.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Uti- lizing automated breast cancer detection to identify spatial distributions of tumor-infiltrating lymphocytes in invasive breast cancer

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RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Dual-stream multi- ple instance learning network for whole slide image classi- fication with self-supervised contrastive learning

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RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Sd2: spatially resolved transcriptomics deconvolution through in- tegration of dropout and spatial information

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This paper cites A comprehensive benchmarking with practical guidelines for cellular deconvolution of spatial tran- scriptomics.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency A comprehensive benchmarking with practical guidelines for cellular deconvolution of spatial tran- scriptomics

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This paper cites Task-specific fine-tuning via variational information bottle- neck for weakly-supervised pathology whole slide image classification.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Task-specific fine-tuning via variational information bottle- neck for weakly-supervised pathology whole slide image classification

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This paper cites Scaling language-image pre-training via masking.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Scaling language-image pre-training via masking

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This paper cites Interventional bag multi-instance learning on whole-slide pathological images.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Interventional bag multi-instance learning on whole-slide pathological images

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RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Multiple instance learning via iterative self-paced supervised contrastive learning

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This paper cites Ai- based pathology predicts origins for cancers of unknown pri- mary.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Ai- based pathology predicts origins for cancers of unknown pri- mary

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This paper cites Data-efficient and weakly supervised computational pathology on whole- slide images.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Data-efficient and weakly supervised computational pathology on whole- slide images

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This paper cites Visual language pre- trained multiple instance zero-shot transfer for histopathol- ogy images.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Visual language pre- trained multiple instance zero-shot transfer for histopathol- ogy images

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This paper cites A visual- language foundation model for computational pathology.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency A visual- language foundation model for computational pathology

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This paper cites Method of the year: spatially resolved tran- scriptomics.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Method of the year: spatially resolved tran- scriptomics

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This paper cites Multimodal contrastive learning for spatial gene expression prediction using histology images.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Multimodal contrastive learning for spatial gene expression prediction using histology images

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This paper cites Spatially resolved transcriptomic profiling of degraded and challenging fresh frozen samples.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Spatially resolved transcriptomic profiling of degraded and challenging fresh frozen samples

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This paper cites Molecular, spatial, and functional single-cell profiling of the hypothalamic preoptic region.Science, 2018.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Molecular, spatial, and functional single-cell profiling of the hypothalamic preoptic region.Science, 2018

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This paper cites Mapping and quantifying mammalian transcriptomes by rna-seq.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Mapping and quantifying mammalian transcriptomes by rna-seq

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This paper cites A note on a general definition of the coefficient of determination.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency A note on a general definition of the coefficient of determination

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.973655Z

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This paper cites Digital pathology and artificial intelli- gence.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Digital pathology and artificial intelli- gence

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.961096Z

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Observation c45651e2-5232-47a2-a8fb-32c1a2a9b897 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Representation Learning with Contrastive Predictive Coding

Reference 54

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Observation 8a7293d1-8715-4d22-9b78-c38e7dbf296e · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency DINOv2: Learning Robust Visual Features without Supervision

Reference 55

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Observation 27550703-78b1-46fe-9ce7-b5cd756534df · outbound

This paper cites Leverag- ing information in spatial transcriptomics to predict super- resolution gene expression from histology images in tumors.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Leverag- ing information in spatial transcriptomics to predict super- resolution gene expression from histology images in tumors

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.948365Z

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Observation 5f96b306-99cc-466a-aadb-05883296ef75 · outbound

This paper cites Bi- directional weakly supervised knowledge distillation for whole slide image classification.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Bi- directional weakly supervised knowledge distillation for whole slide image classification

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.935863Z

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Observation 40c2ea01-c97f-43ba-b1c0-af7799920196 · outbound

This paper cites Boosting whole slide image classification from the perspectives of dis- tribution, correlation and magnification.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Boosting whole slide image classification from the perspectives of dis- tribution, correlation and magnification

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.923709Z

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Observation 780546a5-a77a-4bda-8f38-93084e996c7a · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Learn- ing transferable visual models from natural language super- vision

Reference 59

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This paper cites Exploring tissue architecture using spatial transcriptomics.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Exploring tissue architecture using spatial transcriptomics

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.902599Z

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This paper cites V-measure: A con- ditional entropy-based external cluster evaluation measure.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency V-measure: A con- ditional entropy-based external cluster evaluation measure

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.891275Z

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Observation e35e6725-a85a-40f4-991d-1d3d8461bb18 · outbound

This paper cites Single-cell rna-seq: ad- vances and future challenges.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Single-cell rna-seq: ad- vances and future challenges

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.879453Z

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Observation 44523e54-f0cd-4cf5-ad1a-391dfa56655d · outbound

This paper cites Transmil: Transformer based correlated multiple instance learning for whole slide image classification.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Transmil: Transformer based correlated multiple instance learning for whole slide image classification

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.868615Z

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Observation 17031e3d-de7d-4bb9-976a-a99bac71f24f · outbound

This paper cites Multimodal prototyping for cancer survival prediction.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Multimodal prototyping for cancer survival prediction

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.857924Z

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Observation f3f8c609-7e68-40df-8e38-10e7a1db664c · outbound

This paper cites Visualization and analysis of gene expression in tissue sections by spatial transcriptomics.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Visualization and analysis of gene expression in tissue sections by spatial transcriptomics

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.846601Z

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Observation 339290b2-acaf-492b-a1e2-dda56ed440b3 · outbound

This paper cites Exponential scaling of single-cell rna-seq in the past decade.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Exponential scaling of single-cell rna-seq in the past decade

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.835941Z

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Observation 046d6518-a6ac-4e71-8347-a16fbe7e2feb · outbound

This paper cites mrna-seq whole-transcriptome analysis of a single cell.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency mrna-seq whole-transcriptome analysis of a single cell

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.824031Z

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Observation b3519f7c-e81a-4270-9a6d-b5b19fe950c4 · outbound

This paper cites Multiple instance learning framework with masked hard instance mining for whole slide image classification.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Multiple instance learning framework with masked hard instance mining for whole slide image classification

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.811678Z

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Observation a8b37181-4566-4f1f-9f59-f077636edf80 · outbound

This paper cites Feature re-embedding: Towards foun- dation model-level performance in computational pathology.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Feature re-embedding: Towards foun- dation model-level performance in computational pathology

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.799784Z

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Observation eacd11a0-a3d4-4ef4-a4ed-30d98f5cd623 · outbound

This paper cites Visualizing data using t-sne.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Visualizing data using t-sne

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.787583Z

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Observation a9947adf-4e17-40cf-b4c2-c487095c7343 · outbound

This paper cites Genome-wide spatial expression profiling in formalin-fixed tissues.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Genome-wide spatial expression profiling in formalin-fixed tissues

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.774674Z

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This paper cites A foundation model for clinical-grade computational pathology and rare cancers detection.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency A foundation model for clinical-grade computational pathology and rare cancers detection

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.763129Z

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Observation 43b1925c-6ba6-420e-925c-dc7a3e75bec5 · outbound

This paper cites Uctransnet: rethinking the skip connections in u-net from a channel-wise perspective with transformer.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Uctransnet: rethinking the skip connections in u-net from a channel-wise perspective with transformer

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.752125Z

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Observation 39cce930-49f8-44a1-bd4f-11e0546d898d · outbound

This paper cites Transpath: Transformer-based self-supervised learning for histopatho- logical image classification.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Transpath: Transformer-based self-supervised learning for histopatho- logical image classification

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.740276Z

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Observation ca08eaab-dca1-4ace-9524-2c380fc738a8 · outbound

This paper cites A pathology foundation model for cancer diagnosis and prognosis prediction.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency A pathology foundation model for cancer diagnosis and prognosis prediction

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.728698Z

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Observation 06e45655-1f25-48dc-87f9-af874f551be4 · outbound

This paper cites Rna-seq: a revolutionary tool for transcriptomics.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Rna-seq: a revolutionary tool for transcriptomics

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.716218Z

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Observation 51599f73-69e8-4ccc-9365-2be59cfdd29f · outbound

This paper cites Spatially resolved gene expression prediction from histology images via bi- modal contrastive learning.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Spatially resolved gene expression prediction from histology images via bi- modal contrastive learning

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.704444Z

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This paper cites Predicting axillary lymph node metastasis in early breast cancer using deep learning on primary tumor biopsy slides.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Predicting axillary lymph node metastasis in early breast cancer using deep learning on primary tumor biopsy slides

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.692698Z

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Observation b226f53e-10d4-49d2-acf3-b027b1a60ff7 · outbound

This paper cites A whole-slide foundation model for digital pathology from real-world data.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency A whole-slide foundation model for digital pathology from real-world data

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.681123Z

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Observation 8c436f8f-baa1-4d0a-abdb-fe8ba652bbf6 · outbound

This paper cites Semi-supervised segmentation of histopathology images with noise-aware topological con- sistency.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Semi-supervised segmentation of histopathology images with noise-aware topological con- sistency

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.668497Z

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Observation 886c8bb9-2278-4ded-b1d1-d5d7f43c5b7f · outbound

This paper cites Multimodal optimal transport- based co-attention transformer with global structure consis- tency for survival prediction.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Multimodal optimal transport- based co-attention transformer with global structure consis- tency for survival prediction

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.656988Z

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Observation 566e2f58-27a2-40a2-aa8a-4118dee4f458 · outbound

This paper cites Dtfd- mil: Double-tier feature distillation multiple instance learn- ing for histopathology whole slide image classification.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Dtfd- mil: Double-tier feature distillation multiple instance learn- ing for histopathology whole slide image classification

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.645938Z

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Observation ba416ebb-889b-48a1-aa5e-f704c813fa89 · outbound

This paper cites Attention-challenging multi- ple instance learning for whole slide image classification.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Attention-challenging multi- ple instance learning for whole slide image classification

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.633483Z

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Observation ab89b379-a6a8-4e0e-aaee-512373fb248c · outbound

This paper cites Prototypical information bottlenecking and dis- entangling for multimodal cancer survival prediction.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Prototypical information bottlenecking and dis- entangling for multimodal cancer survival prediction

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.621334Z

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Observation 562c4989-aedf-4a0f-be73-7971263fd34a · outbound

This paper cites Rankclip: Ranking- consistent language-image pretraining.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Rankclip: Ranking- consistent language-image pretraining

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.609878Z

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Observation 4ba4f547-ff10-4b3b-9705-3309521c6c41 · outbound

This paper cites Cross-modal translation and alignment for survival analysis.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Cross-modal translation and alignment for survival analysis

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.598958Z

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Observation db538a91-72fd-4b64-9265-829ec1599d91 · outbound

This paper cites Dgr-mil: Exploring diverse global representation in multiple instance learning for whole slide image classification.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Dgr-mil: Exploring diverse global representation in multiple instance learning for whole slide image classification

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.587136Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 02362cd8-7dae-4b52-aa10-fbdc722cadf6 · outbound

This paper cites This resource provides gene lists corresponding to 31 different cancer types, each curated with validated genes most relevant to the specific cancer type.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency This resource provides gene lists corresponding to 31 different cancer types, each curated with validated genes most relevant to the specific cancer type

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.575887Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c576c374-43d4-4b4f-aeb1-298a7eb57fb0 · outbound

This paper cites The Breast ST dataset used for train- ing [7] contains 36 ST samples, each with approximately 15,000 genes.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency The Breast ST dataset used for train- ing [7] contains 36 ST samples, each with approximately 15,000 genes

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.564767Z

Source-reported events for the cited work

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Observation eabdf7bc-bec1-4bfa-a561-bbf0ca67de4c · outbound

This paper cites We predict ER, PR, and HER2 expression status on BCNB following [32] and genetic mutations of EGFR, KRAS, STK11, and TP53 on TCGA LUAD Mutation following [42].

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency We predict ER, PR, and HER2 expression status on BCNB following [32] and genetic mutations of EGFR, KRAS, STK11, and TP53 on TCGA LUAD Mutation following [42]

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.554141Z

Source-reported events for the cited work

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Observation 5cfd5543-af48-4232-aef3-fcdd09e4e496 · outbound

This paper cites In the training stage, we first filter the genes using the selected gene list, followed by multi-modal training with Breast ST [7] and Lung ST [49] dataset.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency In the training stage, we first filter the genes using the selected gene list, followed by multi-modal training with Breast ST [7] and Lung ST [49] dataset

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.542835Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ea9482f9-182e-4970-8380-7de91200b056 · outbound

This paper cites Gene Expression Prediction In this study, we assess the performance of gene expression prediction on a per-sample basis.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Gene Expression Prediction In this study, we assess the performance of gene expression prediction on a per-sample basis

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.530345Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c5eb2a43-dcba-428d-8cd1-0776ffc85b9e · outbound

This paper cites We compare the effect of different values for the weight of the ranking consistency loss λ1 on the Breast-ST dataset.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency We compare the effect of different values for the weight of the ranking consistency loss λ1 on the Breast-ST dataset

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.518584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 527c2508-030c-4d25-948f-1f605bdd1cb7 · outbound

This paper cites an unresolved cited work.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Unresolved cited work

Reference 94

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:39:43.507097Z

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Observation d302eca8-a199-4a75-9155-a68fd3de25c1 · outbound

This paper cites As shown in Figure 7, we select TUBA1C, ESRP1, MAL2, and RAB2A to visualize gene expression predictions.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency As shown in Figure 7, we select TUBA1C, ESRP1, MAL2, and RAB2A to visualize gene expression predictions

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:39:43.494175Z

Source-reported events for the cited work

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Observation 0ba1df54-92d2-4d1a-b897-6670c4831b99 · outbound

This paper cites an unresolved cited work.

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency Unresolved cited work

Reference 96

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:39:43.481109Z

Source-reported events for the cited work

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Outbound references

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