arXiv eess.IV Image and Video Processing

Robin Spanier, Thorsten Hoeser, Claudia Kuenzer: Deep learning-based object detection of offshore platforms on Sentinel-1 Imagery and the impact of synthetic training data https://arxiv.org/abs/2511.04304 https://arxiv.org/pdf/2511.04304 https://arxiv.org/html/2511.04304

Saunders, Kim, Rudravaram, Remedios, Cho, McMaster, Gillis, Liu, Zuo, Landman, Rex: Phenotype discovery of traumatic brain injury segmentations from heterogeneous multi-site data https://arxiv.org/abs/2511.03767 https://arxiv.org/pdf/2511.03767 https://arxiv.org/html/2511.03767

Zhao, Zhang, Wu, Li, Shen, Zhu, Zheng, Jiang, Ren: $\mu$NeuFMT: Optical-Property-Adaptive Fluorescence Molecular Tomography via Implicit Neural Representation https://arxiv.org/abs/2511.04510 https://arxiv.org/pdf/2511.04510 https://arxiv.org/html/2511.04510

Saunders, Remedios, McMaster, Yoon, Rudravaram, Sadriddinov, Kanakaraj, Landman, Anderson: DeepFixel: Crossing white matter fiber identification through spherical convolutional neural networks https://arxiv.org/abs/2511.03893 https://arxiv.org/pdf/2511.03893 https://arxiv.org/html/2511.03893

Linchen Qian, Jiasong Chen, Ruonan Gong, Wei Sun, Minliang Liu, Liang Liang: Shape Deformation Networks for Automated Aortic Valve Finite Element Meshing from 3D CT Images https://arxiv.org/abs/2511.03890 https://arxiv.org/pdf/2511.03890 https://arxiv.org/html/2511.03890

Guo, Khurana, Grande, del Alamo, Contijoch: Computed Tomography (CT)-derived Cardiovascular Flow Estimation Using Physics-Informed Neural Networks Improves with Sinogram-based Training: A Sim... https://arxiv.org/abs/2511.03876 https://arxiv.org/pdf/2511.03876 https://arxiv.org/html/2511.03876

Yundi Zhang, Nil Stolt-Ans\'o, Jiazhen Pan, Wenqi Huang, Kerstin Hammernik, Daniel Rueckert: Reconstruction-free segmentation from undersampled k-space using transformers https://arxiv.org/abs/2511.03762 https://arxiv.org/pdf/2511.03762 https://arxiv.org/html/2511.03762

[2025-11-07 Fri (UTC), 5 new articles found for eessIV Image and Video Processing]

Hao Shi, Ze Wang, Shangwei Guo, Mengfei Duan, Song Wang, Teng Chen, Kailun Yang, Lin Wang, Kaiwei Wang: OneOcc: Semantic Occupancy Prediction for Legged Robots with a Single Panoramic Camera https://arxiv.org/abs/2511.03571 https://arxiv.org/pdf/2511.03571 https://arxiv.org/html/2511.03571

Rahman, Adebayo, Acevedo-Mejia, Hester, McPolin, Rafferty, Laefer: ISC-Perception: A Hybrid Computer Vision Dataset for Object Detection in Novel Steel Assembly https://arxiv.org/abs/2511.03098 https://arxiv.org/pdf/2511.03098 https://arxiv.org/html/2511.03098

Zehui Zhan, Yaojun Hu, Jiajing Zhan, Wanchen Lian, Wanqing Wu, Jintai Chen: NEF-NET+: Adapting Electrocardio panorama in the wild https://arxiv.org/abs/2511.02880 https://arxiv.org/pdf/2511.02880 https://arxiv.org/html/2511.02880

Beyza Cinar, Maria Maleshkova: Benchmarking ResNet for Short-Term Hypoglycemia Classification with DiaData https://arxiv.org/abs/2511.02849 https://arxiv.org/pdf/2511.02849 https://arxiv.org/html/2511.02849

Syed Muqeem Mahmood, Hassan Mohy-ud-Din: Computational Imaging Meets LLMs: Zero-Shot IDH Mutation Prediction in Brain Gliomas https://arxiv.org/abs/2511.03376 https://arxiv.org/pdf/2511.03376 https://arxiv.org/html/2511.03376

Gabriela Fernandes: Morpho-Genomic Deep Learning for Ovarian Cancer Subtype and Gene Mutation Prediction from Histopathology https://arxiv.org/abs/2511.03365 https://arxiv.org/pdf/2511.03365 https://arxiv.org/html/2511.03365

Isar Lemeire, Yee Wei Law, Sang-Heon Lee, Will Meakin, Tat-Jun Chin: SAAIPAA: Optimizing aspect-angles-invariant physical adversarial attacks on SAR target recognition models https://arxiv.org/abs/2511.03192 https://arxiv.org/pdf/2511.03192 https://arxiv.org/html/2511.03192

Abolade, Udo, Ojo, Oyetunji, Ajigbotosho, Iorumbur, Raymond, Adewole: Domain-Adaptive Transformer for Data-Efficient Glioma Segmentation in Sub-Saharan MRI https://arxiv.org/abs/2511.02928 https://arxiv.org/pdf/2511.02928 https://arxiv.org/html/2511.02928

Kalu, Emegoakor, Okafor, Uchenna, Ukpai, Onyeugbo: Optimizing the nnU-Net model for brain tumor (Glioma) segmentation Using a BraTS Sub-Saharan Africa (SSA) dataset https://arxiv.org/abs/2511.02893 https://arxiv.org/pdf/2511.02893 https://arxiv.org/html/2511.02893

[2025-11-06 Thu (UTC), 5 new articles found for eessIV Image and Video Processing]

Thomas Sanchez, Pedro M. Gordaliza, Meritxell Bach Cuadra: Accounting for Underspecification in Statistical Claims of Model Superiority https://arxiv.org/abs/2511.02453 https://arxiv.org/pdf/2511.02453 https://arxiv.org/html/2511.02453

Khair, Jiang, Osman, Xia, Ma: High-Resolution Magnetic Particle Imaging System Matrix Recovery Using a Vision Transformer with Residual Feature Network https://arxiv.org/abs/2511.02212 https://arxiv.org/pdf/2511.02212 https://arxiv.org/html/2511.02212

Task\'en, Judge, Berg, Yu, Grenne, Lindseth, Aakhus, Jodoin, Duchateau, Bernard, Kiss: Estimation of Segmental Longitudinal Strain in Transesophageal Echocardiography by Deep Learning https://arxiv.org/abs/2511.02210 https://arxiv.org/pdf/2511.02210 https://arxiv.org/html/2511.02210

Tachibana, Nagasaka, Adachi, Kagiyama, Ito, Fujita, Yamashita, Kakeji: Reliability Assessment Framework Based on Feature Separability for Pathological Cell Image Classification under Prior Bias https://arxiv.org/abs/2511.01953 https://arxiv.org/pdf/2511.01953 https://arxiv.org/html/2511.01953

Conti, Rosati, Federici, Mancini, Fiorentin: Challenging DINOv3 Foundation Model under Low Inter-Class Variability: A Case Study on Fetal Brain Ultrasound https://arxiv.org/abs/2511.01915 https://arxiv.org/pdf/2511.01915 https://arxiv.org/html/2511.01915

Yansong Du, Jingtong Yao, Yuting Zhou, Feiyu Jiao, Zhaoxiang Jiang, Xun Guan: A Calibration Method for Indirect Time-of-Flight Cameras to Eliminate Internal Scattering Interference https://arxiv.org/abs/2511.01874 https://arxiv.org/pdf/2511.01874 https://arxiv.org/html/2511.01874

Mika Yagoda, Shady Abu-Hussein, Raja Giryes: Diffusion Models are Robust Pretrainers https://arxiv.org/abs/2511.02793 https://arxiv.org/pdf/2511.02793 https://arxiv.org/html/2511.02793

Alix de Langlais, Benjamin Billot, Th\'eo Aguilar Vidal, Marc-Olivier Gauci, Herv\'e Delingette: Resource-efficient Automatic Refinement of Segmentations via Weak Supervision from Light Feedback https://arxiv.org/abs/2511.02576 https://arxiv.org/pdf/2511.02576 https://arxiv.org/html/2511.02576

Yalda Zafari, Hongyi Pan, Gorkem Durak, Ulas Bagci, Essam A. Rashed, Mohamed Mabrok: MammoClean: Toward Reproducible and Bias-Aware AI in Mammography through Dataset Harmonization https://arxiv.org/abs/2511.02400 https://arxiv.org/pdf/2511.02400 https://arxiv.org/html/2511.02400

Almuallem, Weligampola, Gnanasambandam, Xu, Godaliyadda, Sheikh, Chan, Guo: Opto-Electronic Convolutional Neural Network Design Via Direct Kernel Optimization https://arxiv.org/abs/2511.02065 https://arxiv.org/pdf/2511.02065 https://arxiv.org/html/2511.02065

[2025-11-05 Wed (UTC), 4 new articles found for eessIV Image and Video Processing]

Md Talha Mohsin, Ismail Abdulrashid: Few-Shot Multimodal Medical Imaging: A Theoretical Framework https://arxiv.org/abs/2511.01140 https://arxiv.org/pdf/2511.01140 https://arxiv.org/html/2511.01140