:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Min, Hang, Hormaechea, Gorane Santamaria, Ramachandran, Prabhakar, Dowling, Jason
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2406.07813
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

BC-MRI-SEG: A Breast Cancer MRI Tumor Segmentation Benchmark
by: Bilic, Anthony, et al.
Published: (2024)

Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI
by: Zhou, Lei, et al.
Published: (2024)

Improving Breast Cancer Grade Prediction with Multiparametric MRI Created Using Optimized Synthetic Correlated Diffusion Imaging
by: Tai, Chi-en Amy, et al.
Published: (2024)

Using Multiparametric MRI with Optimized Synthetic Correlated Diffusion Imaging to Enhance Breast Cancer Pathologic Complete Response Prediction
by: Tai, Chi-en Amy, et al.
Published: (2024)

TotalSegmentator MRI: Robust Sequence-independent Segmentation of Multiple Anatomic Structures in MRI
by: D'Antonoli, Tugba Akinci, et al.
Published: (2024)

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation
by: Zhang, Zheyuan, et al.
Published: (2025)

Uncertainty-Gated Deformable Network for Breast Tumor Segmentation in MR Images
by: Zhang, Yue, et al.
Published: (2025)

MSTT-199: MRI Dataset for Musculoskeletal Soft Tissue Tumor Segmentation
by: Reasat, Tahsin, et al.
Published: (2024)

BreastSegNet: Multi-label Segmentation of Breast MRI
by: Li, Qihang, et al.
Published: (2025)

Universal Lymph Node Detection in Multiparametric MRI with Selective Augmentation
by: Mathai, Tejas Sudharshan, et al.
Published: (2025)

Modifying the U-Net's Encoder-Decoder Architecture for Segmentation of Tumors in Breast Ultrasound Images
by: Derakhshandeh, Sina, et al.
Published: (2024)

Lumbar Spine Tumor Segmentation and Localization in T2 MRI Images Using AI
by: Pal, Rikathi, et al.
Published: (2024)

Divide and Conquer: A Large-Scale Dataset and Model for Left-Right Breast MRI Segmentation
by: Rokuss, Maximilian, et al.
Published: (2025)

Minimally Interactive Segmentation of Soft-Tissue Tumors on CT and MRI using Deep Learning
by: Spaanderman, Douwe J., et al.
Published: (2024)

Enhancing Privacy: The Utility of Stand-Alone Synthetic CT and MRI for Tumor and Bone Segmentation
by: Ferreira, André, et al.
Published: (2025)

Tumor Detection, Segmentation and Classification Challenge on Automated 3D Breast Ultrasound: The TDSC-ABUS Challenge
by: Luo, Gongning, et al.
Published: (2025)

Progressive Dual Priori Network for Generalized Breast Tumor Segmentation
by: Wang, Li, et al.
Published: (2023)

DMCIE: Diffusion Model with Concatenation of Inputs and Errors to Improve the Accuracy of the Segmentation of Brain Tumors in MRI Images
by: Yavari, Sara, et al.
Published: (2025)

Towards Trustworthy Breast Tumor Segmentation in Ultrasound using Monte Carlo Dropout and Deep Ensembles for Epistemic Uncertainty Estimation
by: Musah, Toufiq, et al.
Published: (2025)

Synthetic Poisoning Attacks: The Impact of Poisoned MRI Image on U-Net Brain Tumor Segmentation
by: Li, Tianhao, et al.
Published: (2025)

Selective Phase-Aware Training of nnU-Net for Robust Breast Cancer Segmentation in Multi-Center DCE-MRI
by: Zayim, Beyza, et al.
Published: (2025)

Segment Anything Model for Brain Tumor Segmentation
by: Zhang, Peng, et al.
Published: (2023)

RelA-Diffusion: Relativistic Adversarial Diffusion for Multi-Tracer PET Synthesis from Multi-Sequence MRI
by: Yu, Minhui, et al.
Published: (2026)

PCA for Enhanced Cross-Dataset Generalizability in Breast Ultrasound Tumor Segmentation
by: Schmidt, Christian, et al.
Published: (2025)

Hybrid Attention Network for Accurate Breast Tumor Segmentation in Ultrasound Images
by: Aslam, Muhammad Azeem, et al.
Published: (2025)

Pre- to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation
by: Osuala, Richard, et al.
Published: (2023)

Variational U-Net with Local Alignment for Joint Tumor Extraction and Registration (VALOR-Net) of Breast MRI Data Acquired at Two Different Field Strengths
by: Khan, Muhammad Shahkar, et al.
Published: (2025)

Large Kernel MedNeXt for Breast Tumor Segmentation and Self-Normalizing Network for pCR Classification in Magnetic Resonance Images
by: Musah, Toufiq
Published: (2025)

A European Multi-Center Breast Cancer MRI Dataset
by: Müller-Franzes, Gustav, et al.
Published: (2025)

GuidedMorph: Two-Stage Deformable Registration for Breast MRI
by: Chen, Yaqian, et al.
Published: (2025)

The Federated Tumor Segmentation (FeTS) Challenge
by: Pati, Sarthak, et al.
Published: (2021)

SAMRI: Segment Any MRI
by: Wang, Zhao, et al.
Published: (2025)

3D MRI Synthesis with Slice-Based Latent Diffusion Models: Improving Tumor Segmentation Tasks in Data-Scarce Regimes
by: Kebaili, Aghiles, et al.
Published: (2024)

How good nnU-Net for Segmenting Cardiac MRI: A Comprehensive Evaluation
by: Gunawardhana, Malitha, et al.
Published: (2024)

Breast Tumor Classification Using EfficientNet Deep Learning Model
by: Behzadpour, Majid, et al.
Published: (2024)

BrainNormalizer: Anatomy-Informed Pseudo-Healthy Brain Reconstruction from Tumor MRI via Edge-Guided ControlNet
by: Kwak, Min Gu, et al.
Published: (2025)

Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial Networks
by: Osuala, Richard, et al.
Published: (2024)

Breast Ultrasound Tumor Generation via Mask Generator and Text-Guided Network:A Clinically Controllable Framework with Downstream Evaluation
by: Pan, Haoyu, et al.
Published: (2025)

UKAN-EP: Enhancing U-KAN with Efficient Attention and Pyramid Aggregation for 3D Multi-Modal MRI Brain Tumor Segmentation
by: Chen, Yanbing, et al.
Published: (2024)

Generative Adversarial Networks for Weakly Supervised Generation and Evaluation of Brain Tumor Segmentations on MR Images
by: Yoo, Jay J., et al.
Published: (2022)