:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Pesci, Alessandro, Guarrasi, Valerio, Alì, Marco, Castiglioni, Isabella, Soda, Paolo
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2603.13520
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Texture-Aware StarGAN for CT data harmonisation
by: Di Feola, Francesco, et al.
Published: (2025)

Beyond a Single Mode: GAN Ensembles for Diverse Medical Data Generation
by: Tronchin, Lorenzo, et al.
Published: (2025)

Multi-objective optimization determines when, which and how to fuse deep networks: an application to predict COVID-19 outcomes
by: Guarrasi, Valerio, et al.
Published: (2022)

Retrieval-Augmented Anatomical Guidance for Text-to-CT Generation
by: Molino, Daniele, et al.
Published: (2026)

Evaluating Vision Language Model Adaptations for Radiology Report Generation in Low-Resource Languages
by: Salmè, Marco, et al.
Published: (2025)

Multi-Scale Texture Loss for CT denoising with GANs
by: Di Feola, Francesco, et al.
Published: (2024)

Resilient Vision-Tabular Multimodal Learning under Modality Missingness
by: Caruso, Camillo Maria, et al.
Published: (2026)

Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging
by: Ayllón, Elena Mulero, et al.
Published: (2025)

Text-to-CT Generation via 3D Latent Diffusion Model with Contrastive Vision-Language Pretraining
by: Molino, Daniele, et al.
Published: (2025)

Benchmarking Foundation Models and Parameter-Efficient Fine-Tuning for Prognosis Prediction in Medical Imaging
by: Ruffini, Filippo, et al.
Published: (2025)

Concept-Enhanced Multimodal RAG: Towards Interpretable and Accurate Radiology Report Generation
by: Salmè, Marco, et al.
Published: (2026)

Sample-Aware Test-Time Adaptation for Medical Image-to-Image Translation
by: Iele, Irene, et al.
Published: (2025)

Beyond the Generative Learning Trilemma: Generative Model Assessment in Data Scarcity Domains
by: Salmè, Marco, et al.
Published: (2025)

Multimodal Stepwise Clinically-Guided Attention Learning for Pathological Complete Response Prediction in Breast Cancer
by: Caragliano, Alice Natalina, et al.
Published: (2026)

Timing Is Everything: Finding the Optimal Fusion Points in Multimodal Medical Imaging
by: Guarrasi, Valerio, et al.
Published: (2025)

Any-to-Any Vision-Language Model for Multimodal X-ray Imaging and Radiological Report Generation
by: Molino, Daniele, et al.
Published: (2025)

Class Balancing Diversity Multimodal Ensemble for Alzheimer's Disease Diagnosis and Early Detection
by: Francesconi, Arianna, et al.
Published: (2024)

Lesion-Aware Generative Artificial Intelligence for Virtual Contrast-Enhanced Mammography in Breast Cancer
by: Rofena, Aurora, et al.
Published: (2025)

Augmented Intelligence for Multimodal Virtual Biopsy in Breast Cancer Using Generative Artificial Intelligence
by: Rofena, Aurora, et al.
Published: (2025)

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

Multi-Dataset Multi-Task Learning for COVID-19 Prognosis
by: Ruffini, Filippo, et al.
Published: (2024)

Virtual Scanning for NSCLC Histology: Investigating the Discriminatory Power of Synthetic PET
by: Aksu, Fatih, et al.
Published: (2026)

Multimodal Doctor-in-the-Loop: A Clinically-Guided Explainable Framework for Predicting Pathological Response in Non-Small Cell Lung Cancer
by: Caragliano, Alice Natalina, et al.
Published: (2025)

Learning from Limited and Incomplete Data: A Multimodal Framework for Predicting Pathological Response in NSCLC
by: Caragliano, Alice Natalina, et al.
Published: (2026)

Benchmarking Vanilla GAN, DCGAN, and WGAN Architectures for MRI Reconstruction: A Quantitative Analysis
by: Mehwish, Humaira, et al.
Published: (2026)

Longitudinal NSCLC Treatment Progression via Multimodal Generative Models
by: Mantegna, Massimiliano, et al.
Published: (2026)

Comparative Analysis of GAN and Diffusion for MRI-to-CT translation
by: Honey, Emily, et al.
Published: (2025)

Flow Matching for Conditional MRI-CT and CBCT-CT Image Synthesis
by: Hadzic, Arnela, et al.
Published: (2025)

Mamba-driven MRI-to-CT Synthesis for MRI-only Radiotherapy Planning
by: Barmpounakis, Konstantinos, et al.
Published: (2026)

Context-Gated Cross-Modal Perception with Visual Mamba for PET-CT Lung Tumor Segmentation
by: Ayllón, Elena Mulero, et al.
Published: (2025)

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises
by: Khaled, Afifa, et al.
Published: (2025)

Multi-stage intermediate fusion for multimodal learning to classify non-small cell lung cancer subtypes from CT and PET
by: Aksu, Fatih, et al.
Published: (2025)

Doctor-in-the-Loop: An Explainable, Multi-View Deep Learning Framework for Predicting Pathological Response in Non-Small Cell Lung Cancer
by: Caragliano, Alice Natalina, et al.
Published: (2025)

FedSynthCT-Brain: A Federated Learning Framework for Multi-Institutional Brain MRI-to-CT Synthesis
by: Raggio, Ciro Benito, et al.
Published: (2024)

MRI-to-CT Synthesis With Cranial Suture Segmentations Using A Variational Autoencoder Framework
by: Iyer, Krithika, et al.
Published: (2025)

SPARSE Data, Rich Results: Few-Shot Semi-Supervised Learning via Class-Conditioned Image Translation
by: Manni, Guido, et al.
Published: (2025)

Fine-Tuning Cycle-GAN for Domain Adaptation of MRI Images
by: Usama, Mohd, et al.
Published: (2026)

CT-DegradBench: A Physics-Informed Benchmark for CT Degradation Detection and Severity Estimation
by: Taifour, Yousra Nabila, et al.
Published: (2026)

eMotion-GAN: A Motion-based GAN for Photorealistic and Facial Expression Preserving Frontal View Synthesis
by: Ikne, Omar, et al.
Published: (2024)

Adversarial and Score-Based CT Denoising: CycleGAN vs Noise2Score
by: Syarubany, Abu Hanif Muhammad
Published: (2025)