Cover Image

MAMBO: High-Resolution Generative Approach for Mammography Images

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Škipina, Milica, Jovišić, Nikola, Dall'Asen, Nicola, Švenda, Vanja, Tur, Anil Osman, Ilić, Slobodan, Ricci, Elisa, Ćulibrk, Dubravko
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MIL-PF: Multiple Instance Learning on Precomputed Features for Mammography Classification
by: Jovišić, Nikola, et al.
Published: (2026)

SetFlow: Generating Structured Sets of Representations for Multiple Instance Learning
by: Jovišić, Nikola, et al.
Published: (2026)

Optimal Multispectral Imaging using RGB Cameras
by: Matulić, Tomislav, et al.
Published: (2026)

Retrieval-enriched zero-shot image classification in low-resource domains
by: Dall'Asen, Nicola, et al.
Published: (2024)

MAMBO-NET: Multi-Causal Aware Modeling Backdoor-Intervention Optimization for Medical Image Segmentation Network
by: Yu, Ruiguo, et al.
Published: (2025)

A Deep Learning Approach for Virtual Contrast Enhancement in Contrast Enhanced Spectral Mammography
by: Rofena, Aurora, et al.
Published: (2023)

Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography
by: Molina-Román, Yusdivia, et al.
Published: (2025)

ManiNeg: Manifestation-guided Multimodal Pretraining for Mammography Classification
by: Li, Xujun, et al.
Published: (2024)

AL-GTD: Deep Active Learning for Gaze Target Detection
by: Tonini, Francesco, et al.
Published: (2024)

MamT$^4$: Multi-view Attention Networks for Mammography Cancer Classification
by: Ibragimov, Alisher, et al.
Published: (2024)

Attention-Enhanced Deep Learning Ensemble for Breast Density Classification in Mammography
by: Sharifian, Peyman, et al.
Published: (2025)

A Neural Enhancement Post-Processor with a Dynamic AV1 Encoder Configuration Strategy for CLIC 2024
by: Ramsook, Darren, et al.
Published: (2024)

Multi-Resolution Data Fusion for Super Resolution Imaging
by: Reid, Emma J, et al.
Published: (2021)

A Data-Driven Paradigm-Based Image Denoising and Mosaicking Approach for High-Resolution Acoustic Camera
by: Zhou, Xiaoteng, et al.
Published: (2025)

Self-Learned Kernel Low Rank Approach TO Accelerated High Resolution 3D Diffusion MRI
by: Baul, Abhijit, et al.
Published: (2021)

Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction
by: Thrun, Solveig, et al.
Published: (2025)

Learned Primal Dual Splitting for Self-Supervised Noise-Adaptive MRI Reconstruction
by: Janjusevic, Nikola, et al.
Published: (2025)

Noisy MRI Reconstruction via MAP Estimation with an Implicit Deep-Denoiser Prior
by: Janjušević, Nikola, et al.
Published: (2025)

2.5D Super-Resolution Approaches for X-ray Computed Tomography-based Inspection of Additively Manufactured Parts
by: Duba-Sullivan, Haley, et al.
Published: (2024)

Impact of a Sharpness Based Loss Function for Removing Out-of-Focus Blur
by: Aurangabadkar, Uditangshu, et al.
Published: (2025)

Study of the gOMP Algorithm for Recovery of Compressed Sensed Hyperspectral Images
by: Justo, Jon Alvarez, et al.
Published: (2024)

Neuromorphic Imaging with Super-Resolution
by: Zhang, Pei, et al.
Published: (2024)

Transformer-Based Explainable Deep Learning for Breast Cancer Detection in Mammography: The MammoFormer Framework
by: Peter, Ojonugwa Oluwafemi Ejiga, et al.
Published: (2025)

DoSReMC: Domain Shift Resilient Mammography Classification using Batch Normalization Adaptation
by: Akyüz, Uğurcan, et al.
Published: (2025)

Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography
by: Ghosh, Shantanu, et al.
Published: (2024)

A Deep Convolutional Network to Extract Real-Time Landmarks for UAV Navigation
by: Tokluoglu, Osman, et al.
Published: (2026)

A Dictionary Based Approach for Removing Out-of-Focus Blur
by: Aurangabadkar, Uditangshu, et al.
Published: (2024)

Approximate Bilevel Graph Structure Learning for Histopathology Image Classification
by: Paul, Sudipta, et al.
Published: (2025)

ViKL: A Mammography Interpretation Framework via Multimodal Aggregation of Visual-knowledge-linguistic Features
by: Wei, Xin, et al.
Published: (2024)

Spatial Matching of 2D Mammography Images and Specimen Radiographs: Towards Improved Characterization of Suspicious Microcalcifications
by: Nakhaei, Noor, et al.
Published: (2024)

Diver-Robot Communication Dataset for Underwater Hand Gesture Recognition
by: Kvasić, Igor, et al.
Published: (2025)

Automating Vessel Segmentation in the Heart and Brain: A Trend to Develop Multi-Modality and Label-Efficient Deep Learning Techniques
by: Elsayed, Nazik, et al.
Published: (2024)

AMRG: Extend Vision Language Models for Automatic Mammography Report Generation
by: Sung, Nak-Jun, et al.
Published: (2025)

Beyond MR Image Harmonization: Resolution Matters Too
by: Hays, Savannah P., et al.
Published: (2024)

Material Identification From Radiographs Without Energy Resolution
by: McCann, Michael T., et al.
Published: (2023)

Hyperspectral Spatial Super-Resolution using Keystone Error
by: Garg, Ankur, et al.
Published: (2024)

Morphological Reconstruction Improves Microvessel Mapping in Super-Resolution Ultrasound
by: Schoen Jr, Scott, et al.
Published: (2020)

Depth Separable architecture for Sentinel-5P Super-Resolution
by: Ali, Hyam Omar, et al.
Published: (2025)

CompSRT: Quantization and Pruning for Image Super Resolution Transformers
by: Zeinali, Dorsa, et al.
Published: (2026)

Perceptually Equivalent Resolution in Handheld Devices for Streaming Bandwidth Saving
by: Cámara, Mateo, et al.
Published: (2024)