Multiple Instance Learning

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Period ending 2026-09-14

4 new papers

A weekly snapshot of new work published in Multiple Instance Learning.

Period ending 2026-09-07

7 new papers

A weekly snapshot of new work published in Multiple Instance Learning.

91 papers

Latest in Multiple Instance Learning

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Order-Aware 2.5D Multiple Instance Learning for Preoperative MRI-Based Perineural Invasion Risk Assessment in Intrahepatic Cholangiocarcinoma
Sep 11, 2026Hyunsu Go, Youngung Han, Kyeonghun Kim +11Intrahepatic Cholangiocarcinoma Multiple Instance Learning
Seamless Whole Slide Label-Free Virtual Staining
Sep 11, 2026Dou Hoon Kwark, Kianoush Falahkheirkhah, Ji-hun Oh +3Whole-Slide Image Analysis Multiple Instance Learning
CAR-MIL: Counterfactual Attention Regularization for Multiple Instance Learning
Sep 8, 2026Imane Chraki, Pierre Marza, Stergios Christodoulidis +1Multiple Instance Learning Medical Imaging Datasets
Weakly-supervised Kidney Tumor Classification from CT Scans with Multi-Instance Learning and Anatomical Filtering
Sep 7, 2026Joonas Ariva, Dmytro FishmanMultiple Instance Learning Computed Tomography
FTU-Seek: Foundation Model-Guided Hard-Negative Learning for Sparse Functional Tissue Unit Segmentation
Sep 1, 2026Zonghao Liu, Lei Su, Jiguang Yu +4Lesion Segmentation Pathology Foundation Models
SlideMix: Enhancing Whole Slide Image Analysis via Multimodal Shuffling
Aug 31, 2026Chad Wong, Sicheng Chen, Tianyi Zhang +4Whole-Slide Image Analysis Multiple Instance Learning
Federated Multi-Task Learning for Bladder Tumor Segmentation and MIBC Classification Using a Hybrid CNN-Transformer Architecture
Aug 31, 2026Malhar Udmale, Divyanshu Dwivedi, Aarohi Dhand +3Lesion Segmentation Swin
ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation
Aug 12, 2026Duy-Dong Nguyen, Le-Van Thai, Hoai Nhan Pham +3Multiple Instance Learning Pseudo-Labeling
VOICE: A Vision-Omics Foundation Model Integrating Direct and Retrieval-Based Prediction of In-situ Single-Cell Gene Expression
Aug 8, 2026Xin Luo, Yicheng Tao, Haoxuan Zeng +6Single-Cell Rna Multiple Instance Learning
Integrating Implicit and Explicit Relational Biases through Graph-Based Multiple Instance Learning: A Case Study in Skin Lesion Diagnosis
Aug 6, 2026Rafał Buler, Jakub Buler, Maciej Bobowicz +1Skin Lesion Classification Multiple Instance Learning
HexMIL: Hierarchical Attention MIL for Ante-Hoc Explainable Detection of AI-Manipulated CT Volumes
Aug 5, 2026Orazio Pontorno, Luca Guarnera, Zahid Akhtar +1Deepfake Detection Unsupervised Detectors
From Multi-Resolution Cells to Gigapixel Whole Slide Images Foundation Model for Computational Pathology
Aug 4, 2026Basit Alawode, Moshira Ali Abdalla, Dwarikanath Mahapatra +2Whole-Slide Image Analysis Digital Pathology
SAGE: Semantic Explainability of Attention-Based Survival Models in Computational Pathology
Aug 3, 2026Abdallah Lamane, Abdul Rahman Diab, Ren-Chin Wu +1Pathology Foundation Models Multiple Instance Learning
Gene Ontology-Guided Hierarchical Spatial Gene Expression Prediction from Histopathology Images
Aug 1, 2026Zhiwen Xu, Xiaoming Yan, Chengkun Wu +3Transcriptomics Genes
MUL-T: Decoding Spatial Cellular Architecture in Multiplexed Tissue Images
Jul 30, 2026Farzaneh Seyedshahi, Kai Rakovic, Adalberto Claudio Quiros +2Tissue Architecture Multiple Instance Learning
Rethinking EEG-Based Disease Diagnosis: Decoupling Instance Representation Learning from Subject-Level Supervision
Jul 29, 2026Zhiyuan Ma, Zeyuan Li, Zhiyi Lu +7Electroencephalogram Multiple Instance Learning
Shape-Based Inductive Bias for Glioma Grading from Tumor Contours
Jul 27, 2026Puneet Velidi, Michelle F. Miranda, Farouk Nathoo +2Brain Tumor Statistical Shape Model
Weakly Supervised Instance-Level Gleason Pattern Estimation Using Primary and Secondary Labels
Jul 26, 2026Nao Sugeta, Kaito Shiku, Shinnosuke Matsuo +1Multiple Instance Learning Non-Small Cell Lung Cancer
A Multi-Cohort Validation of Censoring-Aware Conformal Lower Predictive Bounds for Pathology Survival Models
Jul 23, 2026Mingi HongSurvival Predictions Conformal Selection
Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models
Jul 16, 2026Mingxi Fu, Jiawen Li, Renao Yan +4Multiple Instance Learning Pathology Foundation Models
Audio-Text Cross-Attention with Psycholinguistic Support Features for Ambivalence/Hesitancy Recognition
Jul 15, 2026Luiz F. B. F. Martins, Rodrigo W. Pisaia, Matheus M. Girardi +5Prosodic Features Cross-Attention
CGRL: Concept-Guided Pruning and Representation Learning for Whole-Slide Image Classification
Jul 14, 2026Thuc Huynh, Tuan Le, Doanh C. BuiWhole-Slide Image Analysis Multiple Instance Learning
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 Learning Digital Pathology
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 Analysis Lesion Segmentation
Slide-Level Active Learning Reduces Annotation Burden in H&E images
Jul 10, 2026Mahsa Vali, Zhilong Weng, Noémie Moreaua +2Whole-Slide Image Analysis Digital Pathology
ProsMAE: Multi-Source MAE Pretraining for ISUP Grade Classification
Jul 9, 2026Anna Jung, Kyeonghun Kim, Youngung Han +6Non-Small Cell Lung Cancer 3D Masked Autoencoders
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving
Jul 6, 2026Miguel Antunes-García, Santiago Montiel-Marín, Fabio Sánchez-García +3Vehicle Detection Autonomous Driving
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 Analysis Continual Model Merging
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 Analysis Survival Analysis
ContiStain: Cross-Domain Relation-Preserving Distillation for Continual Multi-Domain Virtual IHC Staining
Jul 4, 2026Fuqiang Chen, Yifeng Wang, Hongpeng Wang +1Digital Pathology Efficient Continual Learning
Latent Clarity: Bridging World-Model Kinematics to Semantic Manifolds for Video Anomaly Anticipation
Jul 3, 2026Abu Anas Ibn SamadVideo Anomaly Detection Spatiotemporal Representations
Learning from Lost Provenance: Multiple Instance Learning for Cancer Registry Tumor Group Classification
Jul 3, 2026Leonard Ruocco, Jonathan Simkin, Lovedeep Gondara +2Multiple Instance Learning Non-Small Cell Lung Cancer
TaxoMIL: Taxonomy-Constrained Learning for Hierarchical Whole Slide Image Analysis
Jun 30, 2026Chaeyeon Lee, Khang Nguyen Quoc, Jinsol Song +3Whole-Slide Image Analysis Multiple Instance Learning
Data-Efficient Multimodal Alignment for Histopathology-based Molecular Prediction
Jun 29, 2026Dominik Winter, Dominik Vonficht, Loïc Le Bescond +6Digital Pathology Non-Small Cell Lung Cancer
Mitigating Batch Effects in Histopathology via Language-Mediated Robust Embedding Generation
Jun 27, 2026Yishu Zhang, Shushan Wu, Zhenzhong Zhang +8Pathology Foundation Models Digital Pathology
Predicting Metastatic Risk from Primary Cancer Tissue Architecture via Distance-Aware Spatial Modeling
Jun 27, 2026Sandesh Pokhrel, Hamid Manoochehri, Beatrice S Knudsen +1Non-Small Cell Lung Cancer Multiple Instance Learning
Distribution-based deep multiple instance learning for tumor proportion scoring in NSCLC
Jun 25, 2026Krzysztof Pysz, Artur Bartczak, Jarosław Kwiecień +2Multiple Instance Learning Non-Small Cell Lung Cancer
Re-mixing Embeddings for Patient Augmentation in Data Scarce Multiple Instance Learning
Jun 24, 2026Muhammed Furkan Dasdelen, Fatih Ozlugedik, Anastasia Litinetskaya +3Multiple Instance Learning Data Augmentation
Brain-Adapter: A Dual-Stream Vision-Language MIL Framework for Comprehensive 3D CT Diagnosis of Acute Intracranial Pathologies
Jun 22, 2026Zhenyu Yi, Zhiyun Song, Yusong Sun +6Medical Vision-Language Models Recent Vision-Language Models
From Point Estimates to Distributions: GMM Pooling for MIL in Preterm Birth Prediction
Jun 22, 2026Hussain Alasmawi, Numan Saeed, Soha Said +1Multiple Instance Learning Gaussian Mixture Models
Boundary-by-Mask: Few-Shot Instance Segmentation with Mask-Conditioned Boundary Learning for Texture-Poor Industrial Parts
Jun 19, 2026Yutaka Yoshinaga, Naoya Chiba, Koichi HashimotoFew-Shot Segmentation Reasoning Segmentation
HERO: Hypothesis-Driven Evidence Retrieval from Omics for Multi-Task Breast Cancer Analysis
Jun 19, 2026Xiangyu Li, Ran SuMulti-Omic Framework Multiple Instance Learning
Single-Stage Hierarchical Rectification for Weakly Supervised Histopathology Segmentation
Jun 18, 2026Duc T. Nguyen, Hoang-Long Nguyen, Thanh-Ha DO +1Multiple Instance Learning Resnet-18
QG-MIL: A Gated Transformer Aggregator for Domain-Agnostic Multiple Instance Learning in Medical Imaging
Jun 18, 2026Luca Zedda, Davide Antonio Mura, Cecilia Di Ruberto +4Multiple Instance Learning Medical Imaging
RaLMPH: Reliability-aware Learning for Multi-Pathologist Harmonization in Whole-Slide Image Classification
Jun 14, 2026Sungrae Hong, Jiwon Jeong, Soeun Cheon +5Whole-Slide Image Analysis Multiple Instance Learning
Rethinking Global Average Pooling: Your Classifier Is Secretly a Multi-Instance Learner
Jun 12, 2026Aray KarjauvMultiple Instance Learning Image Classification
AGE-MIL: Anchor-Guided Evidence Learning for Patient-Level Prediction
Jun 10, 2026Jiawei Niu, Jian Chen, Di Zhang +8Multiple Instance Learning Clinical Prediction
From Patches to Patients: A study of the tile-to-slide performance transferability in Digital Pathology
Jun 9, 2026Sofiène Boutaj, Leo Fillioux, Maria Vakalopoulou +2Multiple Instance Learning Wireless Foundation Models
Maximum Matching Accuracy: An Instance Segmentation Evaluation Metric Utilizing Globally Optimal Matching
Jun 8, 2026Kaden Stillwagon, Alexandra D. VandeLoo, Craig R. ForestMultiple Instance Learning Panoptic Segmentation
GD-MIL: Grade-Disentangled Multiple Instance Learning for Multimodal Biochemical Recurrence Prediction in Prostate Cancer
Jun 8, 2026Dasari Naga RajuNon-Small Cell Lung Cancer Multiple Instance Learning
DualGate-Net: A Prior-Gated Dual-Encoder Framework for Histopathology Cell Detection
Jun 5, 2026Bahman Jafari Tabaghsar, Son Tran, K. Devaraja +1Digital Pathology Encoder-Decoder Framework
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 Analysis Multiple Instance Learning
In-Context Multiple Instance Learning
Jun 4, 2026Alexander Möllers, Marvin Sextro, Julius Hense +2Multiple Instance Learning In-Context Learning
Symb-xMIL: Symbolic Explanations for Multiple Instance Learning in Digital Pathology
Jun 4, 2026Yanqing Luo, Julius Hense, Niklas Prenißl +4Multiple Instance Learning Digital Pathology
Do Foundation Models See Biology? Evaluating Attention Coherence with Spatial Transcriptomics in Glioblastoma
Jun 3, 2026Dilakshan Srikanthan, Amoon Jamzad, Paul Wilson +5Pathology Foundation Models Brain Tumor
The price of multi-group transductive learning
Jun 3, 2026Noah Bergam, Samuel Deng, Daniel HsuTransductive Active Labeling Multiclass Classification
Pathway-Structured Privileged Distillation for Deployable Computational Pathology
Jun 1, 2026Yongxin Guo, Hao Lu, Onur Koyun +2Pathology Transcriptomics
Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation
May 29, 2026Erik Großkopf, Soumya Snigdha Kundu, Hendrik Möller +9Panoptic Segmentation Feature Matching
One Click per Cell Type Suffices: Training-free Group Interaction for Cell Instance Segmentation
May 28, 2026Sanghyun Jo, Seo Jin Lee, Seohyung Hong +4Multiple Instance Learning Digital Pathology
MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations
May 27, 2026Leiyue Zhao, Tianyu Shi, Daniel Reisenbuchler +12Key Vertebral Morphometry Variables Multiple Instance Learning

Sep 11, 2026 · cs.CVJ/K move · Enter open · S save

Order-Aware 2.5D Multiple Instance Learning for Preoperative MRI-Based Perineural Invasion Risk Assessment in Intrahepatic Cholangiocarcinoma

Hyunsu Go, Youngung Han, Kyeonghun Kim, Jinyong Jun+10

Perineural invasion (PNI) is an adverse histopathologic marker in intrahepatic cholangiocarcinoma (ICC), but it is usually confirmed only after resection. Preoperative T2-weighted MRI may provide noninvasive imaging cues predictive of PNI, although labels are available only at the patient level without slice- or voxel-level annotations. We propose Order-Aware Slab Multiple Instance Learning (OAS-MIL), a weakly supervised framework for patient-level PNI prediction. Each tumor-centered MRI crop is represented as an ordered sequence of overlapping 2.5D slabs formed from contiguous axial slices. A shared encoder extracts slab-level features, which are aggregated by a permutation-invariant set-attention branch and a bidirectional sequence-attention branch. Using five-fold label-stratified cross-validation at the patient level, OAS-MIL achieved a mean AUROC of 0.770, outperforming the evaluated volumetric and MIL baselines. These results suggest that axial order provides a useful inductive bias for weakly supervised PNI prediction from MRI.

Intrahepatic Cholangiocarcinoma Multiple Instance Learning

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