Mammo-CLIP Dissect: A Framework for Analysing Mammography Concepts in Vision-Language Models
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Salahuddin, Suaiba Amina, Dorszewski, Teresa, Martiniussen, Marit Almenning, Hovda, Tone, Portaluri, Antonio, Thrun, Solveig, Kampffmeyer, Michael, Wetzer, Elisabeth, Wickstrøm, Kristoffer, Jenssen, Robert |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction
par: Thrun, Solveig, et autres
Publié: (2025)
par: Thrun, Solveig, et autres
Publié: (2025)
Keypoint Counting Classifiers: Turning Vision Transformers into Self-Explainable Models Without Training
par: Wickstrøm, Kristoffer, et autres
Publié: (2025)
par: Wickstrøm, Kristoffer, et autres
Publié: (2025)
The Impact of Longitudinal Mammogram Alignment on Breast Cancer Risk Assessment
par: Thrun, Solveig, et autres
Publié: (2025)
par: Thrun, Solveig, et autres
Publié: (2025)
From Colors to Classes: Emergence of Concepts in Vision Transformers
par: Dorszewski, Teresa, et autres
Publié: (2025)
par: Dorszewski, Teresa, et autres
Publié: (2025)
Fast Voxel-Wise Kinetic Modeling in Dynamic PET using a Physics-Informed CycleGAN
par: Salomonsen, Christian, et autres
Publié: (2025)
par: Salomonsen, Christian, et autres
Publié: (2025)
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability
par: Wickstrøm, Kristoffer K., et autres
Publié: (2024)
par: Wickstrøm, Kristoffer K., et autres
Publié: (2024)
Physics-Informed Deep Learning for Improved Input Function Estimation in Motion-Blurred Dynamic [${}^{18}$F]FDG PET Images
par: Salomonsen, Christian, et autres
Publié: (2025)
par: Salomonsen, Christian, et autres
Publié: (2025)
VMRA-MaR: An Asymmetry-Aware Temporal Framework for Longitudinal Breast Cancer Risk Prediction
par: Sun, Zijun, et autres
Publié: (2025)
par: Sun, Zijun, et autres
Publié: (2025)
A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal $\left[^{18}\text{F}\right]$FDG PET imaging
par: Salomonsen, Christian, et autres
Publié: (2025)
par: Salomonsen, Christian, et autres
Publié: (2025)
Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography
par: Ghosh, Shantanu, et autres
Publié: (2024)
par: Ghosh, Shantanu, et autres
Publié: (2024)
Random Window Augmentations for Deep Learning Robustness in CT and Liver Tumor Segmentation
par: Østmo, Eirik A., et autres
Publié: (2025)
par: Østmo, Eirik A., et autres
Publié: (2025)
Mammo-CLIP: Leveraging Contrastive Language-Image Pre-training (CLIP) for Enhanced Breast Cancer Diagnosis with Multi-view Mammography
par: Chen, Xuxin, et autres
Publié: (2024)
par: Chen, Xuxin, et autres
Publié: (2024)
MammoWise: Multi-Model Local RAG Pipeline for Mammography Report Generation
par: Jahangir, Raiyan, et autres
Publié: (2026)
par: Jahangir, Raiyan, et autres
Publié: (2026)
FLEXtime: Filterbank learning to explain time series
par: Brüsch, Thea, et autres
Publié: (2024)
par: Brüsch, Thea, et autres
Publié: (2024)
MammoClean: Toward Reproducible and Bias-Aware AI in Mammography through Dataset Harmonization
par: Zafari, Yalda, et autres
Publié: (2025)
par: Zafari, Yalda, et autres
Publié: (2025)
NOFE - Neural Operator Function Embedding
par: Uebbing, Lars, et autres
Publié: (2026)
par: Uebbing, Lars, et autres
Publié: (2026)
FreqRISE: Explaining time series using frequency masking
par: Brüsch, Thea, et autres
Publié: (2024)
par: Brüsch, Thea, et autres
Publié: (2024)
Transformer-Based Explainable Deep Learning for Breast Cancer Detection in Mammography: The MammoFormer Framework
par: Peter, Ojonugwa Oluwafemi Ejiga, et autres
Publié: (2025)
par: Peter, Ojonugwa Oluwafemi Ejiga, et autres
Publié: (2025)
Connecting Concept Convexity and Human-Machine Alignment in Deep Neural Networks
par: Dorszewski, Teresa, et autres
Publié: (2024)
par: Dorszewski, Teresa, et autres
Publié: (2024)
Mammo-Mamba: A Hybrid State-Space and Transformer Architecture with Sequential Mixture of Experts for Multi-View Mammography
par: Bayatmakou, Farnoush, et autres
Publié: (2025)
par: Bayatmakou, Farnoush, et autres
Publié: (2025)
SuperCM: Improving Semi-Supervised Learning and Domain Adaptation through differentiable clustering
par: Singh, Durgesh, et autres
Publié: (2025)
par: Singh, Durgesh, et autres
Publié: (2025)
Mammo-Clustering: Context Clustering based Multi-view Tri Level Information Fusion for Lesion Location and Classification in Mammography
par: Yang, Shilong, et autres
Publié: (2025)
par: Yang, Shilong, et autres
Publié: (2025)
Mammo-Clustering: A Multi-views Tri-level Information Fusion Context Clustering Framework for Localization and Classification in Mammography
par: Yang, Shilong, et autres
Publié: (2024)
par: Yang, Shilong, et autres
Publié: (2024)
MITOCHONDRIAL GENES AND ISOPOD PHYLOGENY (PERACARIDA: ISOPODA)
par: Wetzer, R
Publié: (2002)
par: Wetzer, R
Publié: (2002)
In-hoc Concept Representations to Regularise Deep Learning in Medical Imaging
par: Corbetta, Valentina, et autres
Publié: (2025)
par: Corbetta, Valentina, et autres
Publié: (2025)
From Flexibility to Manipulation: The Slippery Slope of XAI Evaluation
par: Wickstrøm, Kristoffer, et autres
Publié: (2024)
par: Wickstrøm, Kristoffer, et autres
Publié: (2024)
Leveraging tensor kernels to reduce objective function mismatch in deep clustering
par: Trosten, Daniel J., et autres
Publié: (2020)
par: Trosten, Daniel J., et autres
Publié: (2020)
Supercm: Revisiting Clustering for Semi-Supervised Learning
par: Singh, Durgesh, et autres
Publié: (2025)
par: Singh, Durgesh, et autres
Publié: (2025)
Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders
par: Mancisidor, Rogelio A, et autres
Publié: (2025)
par: Mancisidor, Rogelio A, et autres
Publié: (2025)
Mammo-SAE: Interpreting Breast Cancer Concept Learning with Sparse Autoencoders
par: Nakka, Krishna Kanth
Publié: (2025)
par: Nakka, Krishna Kanth
Publié: (2025)
Optimization‐based pore network modeling approach for determination of hydraulic conductivity function of granular soils
par: Suaiba Mufti, et autres
Publié: (2024)
par: Suaiba Mufti, et autres
Publié: (2024)
Convexity-based Pruning of Speech Representation Models
par: Dorszewski, Teresa, et autres
Publié: (2024)
par: Dorszewski, Teresa, et autres
Publié: (2024)
Projection-Based Clustering through Self-Organization and Swarm Intelligence: Combining Cluster Analysis with the Visualization of High-Dimensional Data
par: Christoph Thrun, Michael
Publié: (2018)
par: Christoph Thrun, Michael
Publié: (2018)
Self-Organization and Swarm Intelligence Combining Cluster Analysis with the Visualization of High-Dimensional Data
par: Michael Christoph Thrun
par: Michael Christoph Thrun
WickstromLab/Punovuori-et-al.-Cell-2024: Punovuori et al., Cell 2024; Kaivola et al., Nat Materials 2025
par: WickströmLab
Publié: (2025)
par: WickströmLab
Publié: (2025)
ProPy: Building Interactive Prompt Pyramids upon CLIP for Partially Relevant Video Retrieval
par: Pan, Yi, et autres
Publié: (2025)
par: Pan, Yi, et autres
Publié: (2025)
MAM-CLIP: Vision-Language Pretraining on Mammography Atlases for BI-RADS Classification
par: Gulluk, Halil Ibrahim, et autres
Publié: (2026)
par: Gulluk, Halil Ibrahim, et autres
Publié: (2026)
A Symphony of Fire, Ice, and Fog: How Leaders' Interpersonal Styles Shape Psychological Needs and Motivation
par: Leoni van der Vaart, et autres
Publié: (2025)
par: Leoni van der Vaart, et autres
Publié: (2025)
Proof of Concept for Mammography Classification with Enhanced Compactness and Separability Modules
par: Dahes, Fariza
Publié: (2025)
par: Dahes, Fariza
Publié: (2025)
WiseLVAM: A Novel Framework For Left Ventricle Automatic Measurements
par: Singh, Durgesh Kumar, et autres
Publié: (2025)
par: Singh, Durgesh Kumar, et autres
Publié: (2025)
Documents similaires
-
Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction
par: Thrun, Solveig, et autres
Publié: (2025) -
Keypoint Counting Classifiers: Turning Vision Transformers into Self-Explainable Models Without Training
par: Wickstrøm, Kristoffer, et autres
Publié: (2025) -
The Impact of Longitudinal Mammogram Alignment on Breast Cancer Risk Assessment
par: Thrun, Solveig, et autres
Publié: (2025) -
From Colors to Classes: Emergence of Concepts in Vision Transformers
par: Dorszewski, Teresa, et autres
Publié: (2025) -
Fast Voxel-Wise Kinetic Modeling in Dynamic PET using a Physics-Informed CycleGAN
par: Salomonsen, Christian, et autres
Publié: (2025)