Digital Pathology

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Period ending 2026-09-14

4 new papers

A weekly snapshot of new work published in Digital Pathology.

Period ending 2026-09-07

11 new papers

A weekly snapshot of new work published in Digital Pathology.

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  1. Demonstration of the common dual-channel feature decoupling characteristic of front-door mediation causal inference methods in whole-slice image classification

    Jul 14, 2026Zhirui Zhang, Tianhang Nan, Yong Ding +3Multiple Instance LearningDigital Pathology

  2. Auditing Data Leakage in Whole-Slide Image Multimodal Benchmarks

    Jul 14, 2026Wenhao Zhang, Zhongliang Zhou, John Kang +1Whole-Slide Image AnalysisData Leakage

  3. LaGuadia: Language-Guided Adaptive Distillation from Pathology Foundation Models

    Jul 13, 2026Gangsu Kim, Won-Ki JeongPathology Foundation ModelsMedical Vision-Language Models

  4. Toward Efficient Weakly Supervised Semantic Segmentation Using Only Low-Magnification Histopathological Images

    Jul 12, 2026Dung Minh Do, Nhat-Thanh Huynh, Duc Minh Huynh +2Digital PathologyReconstruction Quality

  5. TVT-PAPD: Pathology-Aware Prototype Distillation for Self-Supervised Whole Slide Image Classification

    Jul 11, 2026Ramesh Naidu Laveti, Jaya Sreevalsan-Nair, T K SrikanthWhole-Slide Image AnalysisLesion Segmentation

  6. ALICE: Learning a General-Purpose Pathology Foundation Model from Vision, Vision-Language, and Slide-Level Experts

    Jul 10, 2026Jiawen Li, Tian Guan, Huijuan Shi +5Pathology Foundation ModelsWhole-Slide Image Analysis

  7. Slide-Level Active Learning Reduces Annotation Burden in H&E images

    Jul 10, 2026Mahsa Vali, Zhilong Weng, Noémie Moreaua +2Whole-Slide Image AnalysisDigital Pathology

  8. COAST: Context-Aware Differential Learning for Gene Expression Prediction in Spatial Transcriptomics

    Jul 10, 2026Keunho Byeon, Sunhong Park, Jeewoo Lim +1TranscriptomicsDigital Pathology

  9. Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models

    Jul 6, 2026Tim Lenz, Maurice Heide, Marco Gustav +2Pathology Foundation ModelsWhole-Slide Image Analysis

  10. Continual Model Merging with Test-Time Adaptation for Whole-Slide Image Analysis

    Jul 6, 2026Duc-Thanh Le, Doanh C. Bui, Maï K. Nguyen +1Whole-Slide Image AnalysisContinual Model Merging

  11. MergeSurv: Merging-Based Continual Learning for Survival Analysis on Whole-Slide Images

    Jul 6, 2026Vu Minh Tran, Doanh C. Bui, Maï K. Nguyen +1Whole-Slide Image AnalysisSurvival Analysis

  12. DriftST: One-Step Generative Inference of Spatial Transcriptomics from H\&E Histology

    Jul 6, 2026Yuhang Yang, Yonggan Bu, Shengyuan Zhou +2Digital PathologyDrift Statistic

  13. The Good, the Bad, and the Brittle: Benchmarking Robustness and Generalisation of Histopathology Foundation Models

    Jul 5, 2026Dhyey Yajnik, Amina Asif, Fayyaz MinhasPathology Foundation ModelsCross Validation

  14. Paired Uterine Whole-Slide Images and Pathology Reports for Multimodal Computational Pathology

    Jul 4, 2026Han Li, Jingsong Liu, Ayako Ura +14PathologyWhole-Slide Image Analysis

  15. ContiStain: Cross-Domain Relation-Preserving Distillation for Continual Multi-Domain Virtual IHC Staining

    Jul 4, 2026Fuqiang Chen, Yifeng Wang, Hongpeng Wang +1Digital PathologyEfficient Continual Learning

  16. Semantic Segmentation-Driven Image-Level Diagnosis of Liver Cancers in Hematoxylin and Eosin Histopathology Images

    Jul 3, 2026Ivica Kopriva, Dario Sitnik, Arijana Pacic +3Digital PathologyLesion Segmentation

  17. Evaluating Agentic Harness Systems for Autonomous Computational Pathology

    Jul 1, 2026Jie Lin, Zongyi Chen, Qiaoling Zheng +6Agentic WorkflowsPathology

  18. Prior-Anchored Debiasing for Long-Tailed Multi-Organ Pathology Report Generation

    Jul 1, 2026Feng Yang, Jie Liu, Yubo Pang +5Digital PathologyMultimodal Clinical Data

  19. TaxoMIL: Taxonomy-Constrained Learning for Hierarchical Whole Slide Image Analysis

    Jun 30, 2026Chaeyeon Lee, Khang Nguyen Quoc, Jinsol Song +3Whole-Slide Image AnalysisMultiple Instance Learning

  20. Learning Where to Look: A Reinforcement Learning Framework for Robust Micro-Ultrasound Prostate Cancer Detection

    Jun 29, 2026Mohammad Mahdi Abootorabi, Sina Namazi, Armin Saadat +7UltrasoundNon-Small Cell Lung Cancer

  21. Uncertainty Estimation in Pathology Foundation Models via Deep Mutual Learning

    Jun 29, 2026Gbègninougbo Aurel Davy Tchokponhoue, Sevda Öğüt, Ali Idri +2Pathology Foundation ModelsPixel-Level Prediction

  22. Data-Efficient Multimodal Alignment for Histopathology-based Molecular Prediction

    Jun 29, 2026Dominik Winter, Dominik Vonficht, Loïc Le Bescond +6Digital PathologyNon-Small Cell Lung Cancer

  23. CellDETR: A Detection-Guided Framework for Scalable Cell Representation Learning from Histopathology Images

    Jun 28, 2026Shikang Zhang, Guojun Li, Yicong Mao +1Digital PathologyRepresentation Learning

  24. Mitigating Batch Effects in Histopathology via Language-Mediated Robust Embedding Generation

    Jun 27, 2026Yishu Zhang, Shushan Wu, Zhenzhong Zhang +8Pathology Foundation ModelsDigital Pathology

  25. SVC-Probe: A Framework for Evaluating Perturbation Generalization in Spatial Foundation-Model Embeddings

    Jun 26, 2026Jake Y. Chen, Huu Phong Nguyen, Fuad Al Abir +1Single-Cell Perturbation PredictionPathology Foundation Models

  26. Controllable Histopathology Image Synthesis with Training-free Structural Initialization and Textural Modulation

    Jun 26, 2026Yuheng Qiu, Jingyi Luo, Chenfei Ye +2Medical Image GenerationDigital Pathology

  27. Tractography-Driven Synthetic Data Generation for Fiber Bundle Segmentation in Tracer Histology

    Jun 25, 2026Kyriaki-Margarita Bintsi, Sparsh Makharia, Yaël Balbastre +4Medical Image GenerationSynthetic Data

  28. JASPR: Joint Spatial Representation learning of histology and spatial genomics for improved virtual genomic screening and clinical prognostication

    Jun 24, 2026Marija Pizurica, Eric Zimmermann, Neil Tenenholtz +5Digital PathologyPrognostics

  29. Reducing Redundancy in Whole-Slide Image Patching for Scalable Indexing and Retrieval

    Jun 23, 2026Jialiang Geng, Ghazal Alabtah, Saghir Alfasly +2Whole-Slide Image AnalysisDigital Pathology

  30. Transformation Behavior of Images in Latent Space

    Jun 23, 2026Christian Zöllner, Mozzam Motiwala, Aysel Ahadova +4Digital PathologyConvolutional Neural Networks

  31. Configurable Algorithms for Histopathologic Cancer Detection on Quantum Hardware

    Jun 19, 2026Nandika Goyal, Glen Uehara, Andreas SpaniasDigital PathologyQuantum Computing

  32. Dementia-Agents: A Multi-Modal Multi-Agent System for Dementia Staging and Phenotyping

    Jun 19, 2026Yaling Shen, Maja Christensen, Yiwen Jiang +4AlzheimerMultimodal Clinical Data

  33. Contrastive and Adaptive Multi-modal Masked Autoencoder for Spatial Transcriptomics

    Jun 19, 2026Joohyeok Kim, Taejin Jeong, Jinyeong Kim +13D Masked AutoencodersGenes

  34. GIM-ENDO: A Multimodal Endoscopic Image and Video Dataset for Gastric Intestinal Metaplasia Morphology and Pathology

    Jun 18, 2026Mojgan Forootan, Mahziar Setayeshfar, Ali Darvishi +2Gastrointestinal CancersColonoscopy

  35. Semantic-Anchored Evidential Fusion for Domain-Robust Whole-Slide Survival Analysis

    Jun 18, 2026Yucheng Xing, Ling Huang, Pei Liu +4Whole-Slide Image AnalysisPathology

  36. Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology

    Jun 16, 2026Tianyu Liu, Ziqing Wang, Zhaokang Liang +12Pathology Foundation ModelsBiomarker

  37. SegTME-UNI2: A Foundation Model-Based Framework for Generalisable Multiclass Cell Segmentation and LLM-Driven Tumour Microenvironment Characterisation in Histopathology

    Jun 16, 2026Wan Siti Halimatul Munirah Wan Ahmad, Faris Syahmi Samidi, Mohammad Badal Ahmmed +3Digital PathologyLesion Segmentation

  38. Vision-Language Models as Zero-Annotation Oracles in Histopathology

    Jun 15, 2026Vishal Jain, Giorgio Buzzanca, Sarah Cechnicka +6Digital PathologyLesion Segmentation

  39. Probing, Fusion, and Trustworthiness: A Systematic Evaluation of Foundation Model Representations for Multimodal Cancer Analysis

    Jun 15, 2026Jingyu Hu, Giuseppe Tripodi, Reed Naidoo +2Pathology Foundation ModelsMultimodal Foundation Model

  40. RaLMPH: Reliability-aware Learning for Multi-Pathologist Harmonization in Whole-Slide Image Classification

    Jun 14, 2026Sungrae Hong, Jiwon Jeong, Soeun Cheon +5Whole-Slide Image AnalysisMultiple Instance Learning

  41. Democratizing and accelerating AI-driven pathology research through agentic intelligence

    Jun 12, 2026Jiabo Ma, Cheng Jin, Yihui Wang +19PathologyAgentic Workflows

  42. Trimodal Glioma Representation Alignment via Volumetric Contrastive Learning

    Jun 12, 2026Denise Marini, Eleonora Grassucci, Danilo ComminielloBrain TumorMultimodal Alignment

  43. A Lightweight Fiducial-Based Pipeline for 3D Hyperspectral Mapping of ex-vivo Lumpectomy Specimens

    Jun 12, 2026Anna Bicchi, Alberto Rota, Leonardo Passoni +5Hyperspectral ImagingDigital Pathology

  44. How Seemingly Inconsequential Design Choices Dictate Performance of LLMs in Pathology

    Jun 10, 2026Kian R. Weihrauch, Thomas A. Buckley, William Lotter +1Pathology Foundation ModelsPathology

  45. Atlas H&E-TME: Scalable AI-Based Tissue Profiling at Expert Pathologist-Level Accuracy

    Jun 10, 2026Kai Standvoss, Miriam Hägele, Rosemarie Krupar +25Digital PathologyBiomarker

  46. SheafStain: Sheaf-Theoretic Schrödinger Bridge for Spatially and Biologically Coherent Virtual Staining

    Jun 10, 2026Hyeongyeol Lim, Hongjun Yoon, Eunjin Jang +3Pathology Foundation ModelsSheaf

  47. A multi-agent system for spine MRI report generation from multi-sequence imaging

    Jun 8, 2026Zhiping Xiao, Junwei Yang, Gongbo Sun +12Cervical SpineMagnetic Resonance Imaging

  48. Stain-Aware Wavelet Regularization for Instant Adversarial Purification in Histopathology

    Jun 7, 2026Zhe Li, Bernhard KainzDigital PathologyDiscrete Wavelet Transform

  49. Learnable Token Sparsification for Efficient Gigapixel Whole Slide Image Reasoning

    Jun 7, 2026Jingzhi Chen, Landi He, Zhuo Chen +2Whole-Slide Image AnalysisVisual Token Pruning

  50. A Multi-modal Agentic Co-pilot for Evidence Grounded Computational Pathology

    Jun 6, 2026Zhe Xu, Zhengyu Zhang, Zhiyuan Cai +12PathologyMultimodal Clinical Data

  51. Mitosis Detection in the Wild: Multi-Tumor and Context-Aware Generalization in the MIDOG 2025 Challenge

    Jun 5, 2026Marc Aubreville, Jonas Ammeling, Sweta Banerjee +64Digital PathologyChallenges

  52. DualGate-Net: A Prior-Gated Dual-Encoder Framework for Histopathology Cell Detection

    Jun 5, 2026Bahman Jafari Tabaghsar, Son Tran, K. Devaraja +1Digital PathologyEncoder-Decoder Framework

  53. DaX: Learning General Pathology Representations Across Scales

    Jun 5, 2026Bokai Zhao, Yiyang Zhang, Long Bai +3Pathology Foundation Models

  54. LRMIL: Efficient Low-Resolution Multiple Instance Learning via High-Resolution Knowledge Distillation for Whole Slide Image Classification

    Jun 5, 2026Yonghan Shin, Won-Ki JeongWhole-Slide Image AnalysisMultiple Instance Learning

  55. Symb-xMIL: Symbolic Explanations for Multiple Instance Learning in Digital Pathology

    Jun 4, 2026Yanqing Luo, Julius Hense, Niklas Prenißl +4Multiple Instance LearningDigital Pathology

  56. BreastGPT: A Multimodal Large Language Model for the Full Spectrum of Breast Cancer Clinical Routine

    Jun 3, 2026Yang Liu, Jiajin Zhang, Danyang Tu +8MammographyMultimodal Clinical Data

  57. A Pathology Foundation Model for Gastric Cancer with Real-World Validation

    Jun 3, 2026Ling Liang, Jiabo Ma, Zhengyu Zhang +25Pathology Foundation ModelsGastrointestinal Cancers

  58. Do Foundation Models See Biology? Evaluating Attention Coherence with Spatial Transcriptomics in Glioblastoma

    Jun 3, 2026Dilakshan Srikanthan, Amoon Jamzad, Paul Wilson +5Pathology Foundation ModelsBrain Tumor

  59. Pathway-Structured Privileged Distillation for Deployable Computational Pathology

    Jun 1, 2026Yongxin Guo, Hao Lu, Onur Koyun +2PathologyTranscriptomics

  60. GC-MoE: Genomics-Guided Cell-Type-Specific Mixture of Experts for Histology-Based Single-Cell Spatial Transcriptomics

    Jun 1, 2026Kaito Shiku, Ahtisham Fazeel Abbasi, Ryoma Bise +4Digital PathologyExperts