We use "code" as the keyword to retrieve the open-source papers. Please feel free to pull requests for the unlisted open-source articles.
| Title | First Author | Code | |
|---|---|---|---|
| Scribble2Label: Scribble-Supervised Cell Segmentation via Self-generating Pseudo-Labels with Consistency | Hyeonsoo Lee | LNCS | Code |
| Are Fast Labeling Methods Reliable? A Case Study of Computer-Aided Expert Annotations on Microscopy Slides | Christian Marzahl | LNCS | Code |
| BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture | Tiange Xiang | LNCS | Code |
| Learning Semantics-Enriched Representation via Self-discovery, Self-classification, and Self-restoration | Fatemeh Haghighi | LNCS | Code |
| NAS-SCAM: Neural Architecture Search-Based Spatial and Channel Joint Attention Module for Nuclei Semantic Segmentation and Classification | Zuhao Liu | LNCS | Code |
| Encoding Visual Attributes in Capsules for Explainable Medical Diagnoses | Rodney LaLonde | LNCS | Code |
| Interpretability-Guided Content-Based Medical Image Retrieval | Wilson Silva | LNCS | Code |
| Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs by Comparing Image Representations | Hong-Yu Zhou | LNCS | Code |
| Scribble-Based Domain Adaptation via Co-segmentation | Reuben Dorent | LNCS | Code |
| Source-Relaxed Domain Adaptation for Image Segmentation | Mathilde Bateson | LNCS | Code |
| Region-of-Interest Guided Supervoxel Inpainting for Self-supervision | Subhradeep Kayal | LNCS | Code |
| Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation | Eleni Chiou | LNCS | Code |
| Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation | Yanning Zhou | LNCS | Code |
| Shape-Aware Semi-supervised 3D Semantic Segmentation for Medical Images | Shuailin Li | LNCS | Code |
| Self-supervised Depth Estimation to Regularise Semantic Segmentation in Knee Arthroscopy | Fengbei Liu | LNCS | Code |
| Semi-supervised Medical Image Classification with Global Latent Mixing | Prashnna Kumar Gyawali | LNCS | Code |
| Efficient Shapley Explanation for Features Importance Estimation Under Uncertainty | Xiaoxiao Li | LNCS | Code |
| Title | First Author | Code | |
|---|---|---|---|
| Compressive MR Fingerprinting Reconstruction with Neural Proximal Gradient Iterations | Dongdong Chen | LNCS | Code |
| BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture | Tiange Xiang | LNCS | Code |
| 3d-SMRnet: Achieving a New Quality of MPI System Matrix Recovery by Deep Learning | Ivo M. Baltruschat | LNCS | Code |
| Learned Proximal Networks for Quantitative Susceptibility Mapping | Kuo-Wei Lai | LNCS | Code |
| Geodesically Smoothed Tensor Features for Pulmonary Hypertension Prognosis Using the Heart and Surrounding Tissues | Johanna Uthoff | LNCS | Code |
| Unlearning Scanner Bias for MRI Harmonisation | Nicola K. Dinsdale | LNCS | Code |
| Self-supervised Skull Reconstruction in Brain CT Images with Decompressive Craniectomy | Franco Matzkin | LNCS | Code |
| Shape-Aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains | Quande Liu | LNCS | Code |
| Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment | Geeticka Chauhan | LNCS | Code |
| Large-Scale Inference of Liver Fat with Neural Networks on UK Biobank Body MRI | Taro Langner | LNCS | Code |
| Interpretation of Disease Evidence for Medical Images Using Adversarial Deformation Fields | Ricardo Bigolin Lanfredi | LNCS | Code |
| Title | First Author | Code | |
|---|---|---|---|
| Reconstructing Sinus Anatomy from Endoscopic Video – Towards a Radiation-Free Approach for Quantitative Longitudinal Assessment | Xingtong Liu | LNCS | Code |
| Simulation of Brain Resection for Cavity Segmentation Using Self-supervised and Semi-supervised Learning | Fernando Pérez-Garcı́a | LNCS | Code |
| MvMM-RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation | Xinzhe Luo | LNCS | Code |
| Highly Accurate and Memory Efficient Unsupervised Learning-Based Discrete CT Registration Using 2.5D Displacement Search | Mattias P. Heinrich | LNCS | Code |
| Generalizing Spatial Transformers to Projective Geometry with Applications to 2D/3D Registration | Cong Gao | LNCS | Code |
| TeCNO: Surgical Phase Recognition with Multi-stage Temporal Convolutional Networks | Tobias Czempiel | LNCS | Code |
| AutoSNAP: Automatically Learning Neural Architectures for Instrument Pose Estimation | David Kugler | LNCS | Code |
| Sensorless Freehand 3D Ultrasound Reconstruction via Deep Contextual Learning | Hengtao Guo | LNCS | Code |
| ISINet: An Instance-Based Approach for Surgical Instrument Segmentation | Cristina Gonza'lez | LNCS | Code |
| Vision-Based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson’s Disease Motor Severity | Mandy Lu | LNCS | Code |
| Towards Accurate and Interpretable Surgical Skill Assessment: A Video-Based Method Incorporating Recognized Surgical Gestures and Skill Levels | Tianyu Wang | LNCS | Code |
| Learning Motion Flows for Semi-supervised Instrument Segmentation from Robotic Surgical Video | Zixu Zhao | LNCS | Code |
| Rethinking Anticipation Tasks: Uncertainty-Aware Anticipation of Sparse Surgical Instrument Usage for Context-Aware Assistance | Dominik Rivoir | LNCS | Code |
| Title | First Author | Code | |
|---|---|---|---|
| DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision | Julia Wolleb | LNCS | Code |
| Learning Directional Feature Maps for Cardiac MRI Segmentation | Feng Cheng | LNCS | Code |
| Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices | Guotai Wang | LNCS | Code |
| Defending Deep Learning-Based Biomedical Image Segmentation from Adversarial Attacks: A Low-Cost Frequency Refinement Approach | Qi Liu | LNCS | Code |
| Asymmetrical Multi-task Attention U-Net for the Segmentation of Prostate Bed in CT Image | Xuanang Xu | LNCS | Code |
| Generation of Annotated Brain Tumor MRIs with Tumor-induced Tissue Deformations for Training and Assessment of Neural Networks | Hristina Uzunova | LNCS | Code |
| AlignShift: Bridging the Gap of Imaging Thickness in 3D Anisotropic Volumes | Jiancheng Yang | LNCS | Code |
| Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRI | Francesco La Rosa | LNCS | Code |
| Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection | Qingsong Yao | LNCS | Code |
| Non-Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model | Micha Pfeiffer | LNCS | Code |
| A Kernelized Multi-level Localization Method for Flexible Shape Modeling with Few Training Data | Matthias Wilms | LNCS | Code |
| iU-Net: Towards Accurate Segmentation of Biomedical Images Using Over-Complete Representations | Jeya Maria Jose Valanarasu | LNCS | Code |
| Title | First Author | Code | |
|---|---|---|---|
| Demixing Calcium Imaging Data in C. elegans via Deformable Non-negative Matrix Factorization | Amin Nejatbakhsh | LNCS | Code |
| MitoEM Dataset: Large-Scale 3D Mitochondria Instance Segmentation from EM Images | Donglai Wei | LNCS | Code |
| Microtubule Tracking in Electron Microscopy Volumes | Nils Eckstein | LNCS | Code |
| Statistical Atlas of C. elegans Neurons | Erdem Varol | LNCS | Code |
| Probabilistic Joint Segmentation and Labeling of C. elegans Neurons | Amin Nejatbakhsh | LNCS | Code |
| Joint Spatial-Wavelet Dual-Stream Network for Super-Resolution | Zhen Chen | LNCS | Code |
| Towards Neuron Segmentation from Macaque Brain Images: A Weakly Supervised Approach | Meng Dong | LNCS | Code |
| 3D Reconstruction and Segmentation of Dissection Photographs for MRI-Free Neuropathology | Henry F. J. Tregidgo | LNCS | Code |
| Boundary-Assisted Region Proposal Networks for Nucleus Segmentation | Shengcong Chen | LNCS | Code |
| Weakly-Supervised Nucleus Segmentation Based on Point Annotations: A Coarse-to-Fine Self-Stimulated Learning Strategy | Kuan Tian | LNCS | Code |
| Self-supervised Nuclei Segmentation in Histopathological Images Using Attention | Mihir Sahasrabudhe | LNCS | Code |
| Renal Cell Carcinoma Detection and Subtyping with Minimal Point-Based Annotation in Whole-Slide Images | Zeyu Gao | LNCS | Code |
| Tracing Diagnosis Paths on Histopathology WSIs for Diagnostically Relevant Case Recommendation | Yushan Zheng | LNCS | Code |
| Weakly Supervised Multiple Instance Learning Histopathological Tumor Segmentation | Marvin Lerousseau | LNCS | Code |
| Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer | Christian Abbet | LNCS | Code |
| Foveation for Segmentation of Mega-Pixel Histology Images | Chen Jin | LNCS | Code |
| Anterior Segment Eye Lesion Segmentation with Advanced Fusion Strategies and Auxiliary Tasks | Ke Wang | LNCS | Code |
| Title | First Author | Code | |
|---|---|---|---|
| Branch-Aware Double DQN for Centerline Extraction in Coronary CT Angiography | Yuyang Zhang | LNCS | Code |
| Automated Intracranial Artery Labeling Using a Graph Neural Network and Hierarchical Refinement | Li Chen | LNCS | Code |
| Adaptive Context Selection for Polyp Segmentation | Ruifei Zhang | LNCS | Code |
| Data-Driven Multi-contrast Spectral Microstructure Imaging with InSpect | Paddy J. Slator | LNCS | Code |
| Region Proposals for Saliency Map Refinement for Weakly-Supervised Disease Localisation and Classification | Renato Hermoza | LNCS | Code |
| Class-Aware Multi-window Adversarial Lung Nodule Synthesis Conditioned on Semantic Features | Qiuli Wang | LNCS | Code |
| SIMBA: Specific Identity Markers for Bone Age Assessment | Cristina Gonz´ alez | LNCS | Code |
| Time Matters: Handling Spatio-Temporal Perfusion Information for Automated TICI Scoring | Maximilian Nielsen | LNCS | Code |
| Decoupling Inherent Risk and Early Cancer Signs in Image-Based Breast Cancer Risk Models | Yue Liu | LNCS | Code |
| PraNet: Parallel Reverse Attention Network for Polyp Segmentation | Deng-Ping Fan | LNCS | Code |
| Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy | Yu Tian | LNCS | Code |
| Keypoints Localization for Joint Vertebra Detection and Fracture Severity Quantification | Maxim Pisov | LNCS | Code |
| Generative Modelling of 3D In-Silico Spongiosa with Controllable Micro-structural Parameters | Emmanuel Iarussi | LNCS | Code |
| Title | First Author | Code | |
|---|---|---|---|
| From Connectomic to Task-Evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-State Functional Connectivity | Gia H. Ngo | LNCS | Code |
| Deep Graph Normalizer: A Geometric Deep Learning Approach for Estimating Connectional Brain Templates | Mustafa Burak Gurbuz | LNCS | Code |
| Supervised Multi-topology Network Cross-Diffusion for Population-Driven Brain Network Atlas Estimation | Islem Mhiri | LNCS | Code |
| Partial Volume Segmentation of Brain MRI Scans of Any Resolution and Contrast | Benjamin Billot | LNCS | Code |
| Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation | Shen Wang | LNCS | Code |
| White Matter Tract Segmentation with Self-supervised Learning | Qi Lu | LNCS | Code |
| Tractogram Filtering of Anatomically Non-plausible Fibers with Geometric Deep Learning | Pietro Astolfi | LNCS | Code |
| TRAKO: Efficient Transmission of Tractography Data for Visualization | Daniel Haehn | LNCS | Code |
| Whole MILC: Generalizing Learned Dynamics Across Tasks, Datasets, and Populations | Usman Mahmood | LNCS | Code |
| A Deep Pattern Recognition Approach for Inferring Respiratory Volume Fluctuations from fMRI Data | Roza G. Bayrak | LNCS | Code |
| Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis | Soham Gadgil | LNCS | Code |
| A Shared Neural Encoding Model for the Prediction of Subject-Specific fMRI Response | Meenakshi Khosla | LNCS | Code |
| Topology-Aware Generative Adversarial Network for Joint Prediction of Multiple Brain Graphs from a Single Brain Graph | Alaa Bessadok | LNCS | Code |
| Patch-Based Abnormality Maps for Improved Deep Learning-Based Classification of Huntington’s Disease | Kilian Hett | LNCS | Code |
| Modelling the Distribution of 3D Brain MRI Using a 2D Slice VAE | Anna Volokitin | LNCS | Code |
| Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer Networks | Robert Robinson | LNCS | Code |