Key papers

• Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing (2026)
  Xinjie Zhang et al.
  14.69
• Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models (2026)
  Gautam Rajendrakumar Gare et al.
  5.89
• Think Sparse, Predict Dense: Continuous Thought Machines for Image Super-Resolution (2026)
  Zekai Shi
  5.89
• An Empirical Study of Handcrafted Feature Learning and Convolutional Neural Networks for Facial Expression Recognition (2026)
  Chethiya Galkaduwa
  5.01
• Explicit Over Implicit: Enhancing CNNs Via Complex Structure Tensor Representations for Periocular Recognition (2026)
  Kevin Hernandez-Diaz et al.
  5.01
• Dataset-Origin Signatures and Shortcut Learning in Screening Mammography AI: A Cross-Dataset Case Study (2026)
  Parham Hajishafiezahramini et al.
  5.01
• When Can Test-Time Adaptation Help Zero-Shot CT Vision-Language Models? (2026)
  Ailar Mahdizadeh et al.
  5.01
• Benchmarking MRI Representations for Deep Learning-Based Focal Cortical Dysplasia Segmentation (2026)
  Soumen Ghosh et al.
  5.01
• Region-Grounded Vision-Language Learning for Detection-Guided Mammographic Lesion Classification (2026)
  Zhengbo Zhou et al.
  5.01
• Hierarchical Specialised Ensembles for Classification of Zebrafish Phenotypes Using the Selected Image Recognition Methods (2026)
  Piotr S. Maci\k{a}g et al.
  5.01
• Multi-Modal Semantic Segmentation of Electrolyzer Components for Sustainable Hydrogen Technologies: A Dual-Branch Deep Learning Approach (2026)
  Wasimul Karim et al.
  5.01
• Spatial Normalization for Cross-Domain Retinal Layer Segmentation in Optical Coherence Tomography (2026)
  Iker Moran-Cavero et al.
  5.01
• SHTA: Semantic Hard Token Correction and Center Alignment for Semi-Supervised Medical Image Segmentation (2026)
  Zhuoru Zhang et al.
  4.39
• Latent graph encoding of multimodal neuroimaging features with generative AI architectures (2026)
  Ishaan Batta et al.
  4.39
• Beyond Metadata: CAPRA for Hidden Subgroup Analysis under Missing Metadata in Medical Imaging (2026)
  Yawen Li et al.
  4.39
• Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification (2026)
  Sabahattin Mert Daloglu et al.
  4.39
• SARFA: Segment Anything with Radiomic Feature Alignment (2026)
  Tyler Ward et al.
  4.39
• AnomExpert: Identifying and Selecting Anatomical Planes for Prenatal Ultrasound Anomaly Diagnosis (2026)
  Jian Wang et al.
  4.39
• CLIP-Guided Label-Free Discriminative Region Scoring for Fine-Grained Classification (2026)
  Yujie Zhu
  4.39
• Video to All-in-focus Image Reconstruction Algorithm for Automated Microscopic Urinalysis (2026)
  Chinmay Nema et al.
  4.39
• Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning (2026)
  Vincent Ochs et al.
  4.39
• Deep Learning Approaches for Sleep Apnea Classification from Polysomnographic EEG Signals (2026)
  Shashank Manjunath et al.
  4.39
• FSDBN: Foreground-Aware EEG-Visual Alignment via Dynamic Brain Networks (2026)
  Yiheng Liu et al.
  4.39
• Wavefront Parallelization for Efficient Learned Image Compression (2026)
  Shimon Murai et al.
  4.39
• MIRAGE: Multi-scale Lesion-Informed Representation with Auxiliary Guidance for MRI Contrast Enhancement (2026)
  Andrea Borghesi et al.
  4.39
• Fast Wave-optics Rendering of Multiplane Images for 3D Holographic Displays (2026)
  Brian Chao et al.
  4.39
• Learning from Complementary Ultrasound Representations for Liver Disease Classification (2026)
  Sabahattin Mert Daloglu et al.
  3.51
• Hierarchical Self-Supervised Representation Learning Framework for Multivariate Time Series Grounded in ECG Analysis (2026)
  Siwon Kim
  2.00
• Paired Uterine Whole-Slide Images and Pathology Reports for Multimodal Computational Pathology (2026)
  Han Li et al.
  2.00
• Format-Controlled Multi-Scale JPEG Compression Response Analysis for Image-Level Forgery Screening (2026)
  Sujith K Mandala
  2.00
• TaskTok: Delving into Task Tokens for Task-driven Image Restoration (2026)
  Hongjae Lee et al.
  1.94
• Triggering hallucinations in model-based MRI reconstruction via adversarial perturbations (2026)
  Suna Bu\u{g}day et al.
  1.72
• Aligned Stable Inpainting: Mitigating Unwanted Object Insertion and Preserving Color Consistency (2026)
  Yikai Wang et al.
  1.67
• Tumor-anchored deep feature random forests for out-of-distribution detection in lung cancer segmentation (2025)
  Aneesh Rangnekar et al.
  1.61
• A Perceptually Inspired Variational Framework for Color Enhancement (2025)
  Rodrigo Palma-Amestoy et al.
  1.56
• Unsupervised Deep Learning for Inverse Problems in Computed Tomography (2025)
  Laura Hellwege et al.
  1.39
• An Iterative Framework for Generative Backmapping of Coarse Grained Proteins (2025)
  Georgios Kementzidis et al.
  1.22
• Towards properties of adversarial image perturbations (2025)
  Egor Kuznetsov et al.
  1.11
• Unsupervised Learning with Imbalanced Data via Structure Consolidation Latent Variable Model (2016)
  Fariba Yousefi et al.
  —
• Generative and Discriminative Voxel Modeling with Convolutional Neural Networks (2016)
  Andrew Brock et al.
  —
• DeepCancer: Detecting Cancer through Gene Expressions via Deep Generative Learning (2016)
  Rajendra Rana Bhat et al.
  —
• An Edge Driven Wavelet Frame Model for Image Restoration (2017)
  Jae Kyu Choi et al.
  —
• The Use of Autoencoders for Discovering Patient Phenotypes (2017)
  Harini Suresh et al.
  —
• A Nuclear-norm Model for Multi-Frame Super-Resolution Reconstruction from Video Clips (2017)
  Rui Zhao and Raymond H. Chan
  —
• Variational autoencoders for tissue heterogeneity exploration from (almost) no preprocessed mass spectrometry imaging data (2017)
  Paolo Inglese et al.
  —
• Learning Autoencoded Radon Projections (2017)
  Aditya Sriram et al.
  —
• Medical Diagnosis From Laboratory Tests by Combining Generative and Discriminative Learning (2017)
  Shiyue Zhang et al.
  —
• A novel total variation model based on kernel functions and its application (2017)
  Zhizheng Liang et al.
  —
• Spatial PixelCNN: Generating Images from Patches (2017)
  Nader Akoury and Anh Nguyen
  —
• Squeezed Convolutional Variational AutoEncoder for Unsupervised Anomaly Detection in Edge Device Industrial Internet of Things (2017)
  Dohyung Kim et al.
  —
• Denoising Adversarial Autoencoders: Classifying Skin Lesions Using Limited Labelled Training Data (2018)
  Antonia Creswell et al.
  —
• Weighted Nonlocal Total Variation in Image Processing (2018)
  Haohan Li et al.
  —
• A Smoke Removal Method for Laparoscopic Images (2018)
  Congcong Wang et al.
  —
• Non-convex non-local flows for saliency detection (2018)
  Iv\'an Ram\'irez et al.
  —
• A Probabilistic U-Net for Segmentation of Ambiguous Images (2018)
  Simon A. A. Kohl et al.
  —
• Anomaly Detection for Skin Disease Images Using Variational Autoencoder (2018)
  Yuchen Lu et al.
  —
• Transfer Learning From Synthetic To Real Images Using Variational Autoencoders For Precise Position Detection (2018)
  Tadanobu Inoue et al.
  —
• Synthetic Patient Generation: A Deep Learning Approach Using Variational Autoencoders (2018)
  Ally Salim Jr
  —
• A Discriminative Model for Identifying Readers and Assessing Text Comprehension from Eye Movements (2018)
  Silvia Makowski et al.
  —
• MRI Super-Resolution using Multi-Channel Total Variation (2018)
  Mikael Brudfors et al.
  —