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#p-marr

DOL+26a

Re-Mixing Embeddings for Patient Augmentation in Data Scarce Multiple Instance Learning

MICCAI 2026

#p-marr #p-navab

DOL+26

Genetically Aligned Patient Representations Improve Hematological Diagnosis

MICCAI 2026

#p-marr

SDN+26

Measuring Prediction Uncertainty in Neural Cellular Automata

MICCAI 2026

#p-marr #p-navab

KMS+26

Are Object-Centric Representations Better at Compositional Generalization?

ICML 2026

#p-bauer-s #p-marr

USN+26

A Multicenter Benchmark of Multiple Instance Learning Models for Lymphoma Subtyping From HE-Stained Whole Slide Images

Workshop @CVPR 2026

#p-marr

DKL+26

AI-Based Hematological Malignancy Prediction From Peripheral Blood Smears in a Large Diagnostic Laboratory Cohort

Leukemia 40.6. Jun. 2026

#p-marr

KGP+26

3D Masked Autoencoders Are Robust Learners of Volumetric and Multimodal Cellular Representations for Microscopy

Preprint (Jun. 2026)

#p-marr

GSM+26

EchoVisuALL: From Echocardiography to Gene Discovery

Preprint (Feb. 2026)

#p-marr

BKG+25

A Large Expert-Annotated Single-Cell Peripheral Blood Dataset for Hematological Disease Diagnostics

Scientific Data 12.1773. Nov. 2025

#p-marr

GBU+25

Pathryoshka: Compressing Pathology Foundation Models via Multi-Teacher Knowledge Distillation With Nested Embeddings

Preprint (Nov. 2025)

#p-marr #p-schueffler

YDL+25

Attention Pooling Enhances NCA-Based Classification of Microscopy Images

MLMI @MICCAI 2025

#p-marr #p-navab #p-schueffler

KMR26

Topological Inductive Bias Fosters Multiple Instance Learning in Data-Scarce Scenarios

Transactions on Machine Learning Research Vol. 2025. Feb. 2025

#p-marr

2018-12-10 - Last modified: 2018-12-10