Copertina

ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Schmidt-Mengin, Marius, Benichoux, Alexis, Belachew, Shibeshih, Komodakis, Nikos, Paragios, Nikos
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Image and Video Processing Computer Vision and Pattern Recognition Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations
di: Ma, Qiang, et al.
Pubblicazione: (2024)

Iterative Explainability for Weakly Supervised Segmentation in Medical PE Detection
di: Condrea, Florin, et al.
Pubblicazione: (2024)

Enhancing Weakly Supervised 3D Medical Image Segmentation through Probabilistic-aware Learning
di: Jiang, Runmin, et al.
Pubblicazione: (2024)

Modeling the Label Distributions for Weakly-Supervised Semantic Segmentation
di: Wu, Linshan, et al.
Pubblicazione: (2024)

Single-View Tomographic Reconstruction Using Learned Primal Dual
di: Breckling, Sean, et al.
Pubblicazione: (2025)

Total Variation Regularization for Tomographic Reconstruction of Cylindrically Symmetric Objects
di: Hossain, Maliha, et al.
Pubblicazione: (2024)

Transforming Heart Chamber Imaging: Self-Supervised Learning for Whole Heart Reconstruction and Segmentation
di: Qayyum, Abdul, et al.
Pubblicazione: (2024)

Human Gaze-based Dual Teacher Guidance Learning for Semi-Supervised Medical Image Segmentation
di: Ge, Rongjun, et al.
Pubblicazione: (2026)

Mind the Context: Attention-Guided Weak-to-Strong Consistency for Enhanced Semi-Supervised Medical Image Segmentation
di: Cheng, Yuxuan, et al.
Pubblicazione: (2024)

MDN: Mamba-Driven Dualstream Network For Medical Hyperspectral Image Segmentation
di: Lin, Shijie, et al.
Pubblicazione: (2025)

Two-Dimensional Tomographic Reconstruction From Projections With Unknown Angles and Unknown Spatial Shifts
di: Grampurohit, Shreyas Jayant, et al.
Pubblicazione: (2025)

3D Skin Segmentation Methods in Medical Imaging: A Comparison
di: Paccini, Martina, et al.
Pubblicazione: (2025)

MONSTR: Model-Oriented Neutron Strain Tomographic Reconstruction
di: Chowdhury, Mohammad Samin Nur, et al.
Pubblicazione: (2025)

Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution
di: Kui, Xiaoyan, et al.
Pubblicazione: (2025)

Frequency-regularized Neural Representation Method for Sparse-view Tomographic Reconstruction
di: Xian, Jingmou, et al.
Pubblicazione: (2024)

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

DiffNR: Diffusion-Enhanced Neural Representation Optimization for Sparse-View 3D Tomographic Reconstruction
di: Su, Shiyan, et al.
Pubblicazione: (2026)

Discretized Gaussian Representation for Tomographic Reconstruction
di: Wu, Shaokai, et al.
Pubblicazione: (2024)

Real time enhancement of operator's ergonomics in physical human-robot collaboration scenarios using a multi-stereo camera system
di: Arvanitis, Gerasimos, et al.
Pubblicazione: (2023)

UNet-3D with Adaptive TverskyCE Loss for Pancreas Medical Image Segmentation
di: Zhang, Xubei, et al.
Pubblicazione: (2025)

Supervision by Denoising for Medical Image Segmentation
di: Young, Sean I., et al.
Pubblicazione: (2022)

Sequential Diffusion-Guided Deep Image Prior For Medical Image Reconstruction
di: Liang, Shijun, et al.
Pubblicazione: (2024)

Empowering Medical Imaging with Artificial Intelligence: A Review of Machine Learning Approaches for the Detection, and Segmentation of COVID-19 Using Radiographic and Tomographic Images
di: Mobarakeh, Sayed Amir Mousavi, et al.
Pubblicazione: (2024)

USEANet: Ultrasound-Specific Edge-Aware Multi-Branch Network for Lightweight Medical Image Segmentation
di: Gao, Jingyi, et al.
Pubblicazione: (2025)

Adversarial Neural Networks in Medical Imaging Advancements and Challenges in Semantic Segmentation
di: Liu, Houze, et al.
Pubblicazione: (2024)

INSIGHT: Explainable Weakly-Supervised Medical Image Analysis
di: Zhang, Wenbo, et al.
Pubblicazione: (2024)

Skill-Evolving Grounded Reasoning for Free-Text Promptable 3D Medical Image Segmentation
di: Zhang, Tongrui, et al.
Pubblicazione: (2026)

FUTON: Fourier Tensor Network for Implicit Neural Representations
di: Ashtari, Pooya, et al.
Pubblicazione: (2026)

Generalized Ray Tracing with Basis functions for Tomographic Projections
di: Haouchat, Youssef, et al.
Pubblicazione: (2025)

Tomographic Model Based Iterative Reconstruction of Symmetric Objects
di: Champley, Kyle M., et al.
Pubblicazione: (2024)

Multi-Prototype Embedding Refinement for Semi-Supervised Medical Image Segmentation
di: Bi, Yali, et al.
Pubblicazione: (2025)

Phi-SegNet: Phase-Integrated Supervision for Medical Image Segmentation
di: Ali, Shams Nafisa, et al.
Pubblicazione: (2026)

Quantum Supremacy in Tomographic Imaging: Advances in Quantum Tomography Algorithms
di: Lee, Hyunju, et al.
Pubblicazione: (2025)

Improving Lesion Segmentation in Medical Images by Global and Regional Feature Compensation
di: Wang, Chuhan, et al.
Pubblicazione: (2025)

Leveraging Information Divergence for Robust Semi-Supervised Fetal Ultrasound Image Segmentation
di: Wang, Fangyijie, et al.
Pubblicazione: (2025)

Distillation Learning Guided by Image Reconstruction for One-Shot Medical Image Segmentation
di: Zhou, Feng, et al.
Pubblicazione: (2024)

Leveraging Task-Specific Knowledge from LLM for Semi-Supervised 3D Medical Image Segmentation
di: Kumari, Suruchi, et al.
Pubblicazione: (2024)

Synthetic Volumetric Data Generation Enables Zero-Shot Generalization of Foundation Models in 3D Medical Image Segmentation
di: Chakrabarty, Satrajit, et al.
Pubblicazione: (2026)

ProxNF: Neural Field Proximal Training for High-Resolution 4D Dynamic Image Reconstruction
di: Lozenski, Luke, et al.
Pubblicazione: (2024)

BAISeg: Boundary Assisted Weakly Supervised Instance Segmentation
di: Wang, Tengbo, et al.
Pubblicazione: (2024)