Part I, LNCS Volume 11764 Optical Imaging; Endoscopy; Microscopy
| Title | First Author | Code | |
|---|---|---|---|
| A Deep Reinforcement Learning Framework for Frame-by-Frame Plaque Tracking on Intravascular Optical Coherence Tomography Image | Gongning Luo | LNCS | Code |
| Boundary and Entropy-Driven Adversarial Learning for Fundus Image Segmentation | Shujun Wang | LNCS | Code |
| Probabilistic Atlases to Enforce Topological Constraints | Udaranga Wickramasinghe | LNCS | Code |
| Synapse-Aware Skeleton Generation for Neural Circuits | Brian Matejek | LNCS | Code |
| Seeing Under the Cover: A Physics Guided Learning Approach for In-bed Pose Estimation | Shuangjun Liu | LNCS | Code |
| Ki-GAN: Knowledge Infusion Generative Adversarial Network for Photoacoustic Image Reconstruction In Vivo | Hengrong Lan | LNCS | Code |
| Triple ANet: Adaptive Abnormal-aware Attention Network for WCE Image Classification | Xiaoqing Guo | LNCS | Code |
| Selective Feature Aggregation Network with Area-Boundary Constraints for Polyp Segmentation | Yuqi Fang | LNCS | Code |
| Multi-scale Cell Instance Segmentation with Keypoint Graph Based Bounding Boxes | Jingru Yi | LNCS | Code |
| Improving Nuclei/Gland Instance Segmentation in Histopathology Images by Full Resolution Neural Network and Spatial Constrained Loss | Hui Qu | LNCS | Code |
| ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation | Zhijie Zhang | LNCS | Code |
| Instance Segmentation of Biomedical Images with an Object-Aware Embedding Learned with Local Constraints | Long Chen | LNCS | Code |
| Synthetic Patches, Real Images: Screening for Centrosome Aberrations in EM Images of Human Cancer Cells | Artem Lukoyanov | LNCS | Code |
| Weakly Supervised Cell Instance Segmentation by Propagating from Detection Response | Kazuya Nishimura | LNCS | Code |
| Robust Non-negative Tensor Factorization, Diffeomorphic Motion Correction, and Functional Statistics to Understand Fixation in Fluorescence Microscopy | Neel Dey | LNCS | Code |
Part II, LNCS Volume 11765 Image Segmentation; Image Registration; Cardiovascular Imaging; Growth, Development, Atrophy, and Progression
| Title | First Author | Code | |
|---|---|---|---|
| ‘Project & Excite’ Modules for Segmentation of Volumetric Medical Scans | Anne-Marie Rickmann | LNCS | Code |
| Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation | Alain Jungo | LNCS | Code |
| Extreme Points Derived Confidence Map as a Cue for Class-Agnostic Interactive Segmentation Using Deep Neural Network | Shadab Khan | LNCS | Code |
| Instance Segmentation from Volumetric Biomedical Images Without Voxel-Wise Labeling | Meng Dong | LNCS | Code |
| PHiSeg: Capturing Uncertainty in Medical Image Segmentation | Christian F. Baumgartner | LNCS | Code |
| Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss | Guotai Wang | LNCS | Code |
| Learning Shape Representation on Sparse Point Clouds for Volumetric Image Segmentation | Fabian Balsiger | LNCS | Code |
| 3D U2-Net: A 3D Universal U-Net for Multi-domain Medical Image Segmentation | Chao Huang | LNCS | Code |
| Constrained Domain Adaptation for Segmentation | Mathilde Bateson | LNCS | Code |
| Curriculum Semi-supervised Segmentation | Hoel Kervadec | LNCS | Code |
| Uncertainty-Aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation | Lequan Yu | LNCS | Code |
| Deep Probabilistic Modeling of Glioma Growth | Jens Petersen | LNCS | Code |
| Variational AutoEncoder for Regression: Application to Brain Aging Analysis | Qingyu Zhao | LNCS | Code |
| Disease Knowledge Transfer Across Neurodegenerative Diseases | R˘azvan V. Marinescu | LNCS | Code |
| One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation | Mathias Perslev | TF | |
| Closing the Gap between Deep and Conventional Image Registration using Probabilistic Dense Displacement Networks | Mattias P. Heinrich | Code |
Part III, LNCS Volume 11766 Neuroimage Reconstruction and Synthesis; Neuroimage Segmentation; Diffusion-Weighted Magnetic Resonance Imaging; Functional Neuroimaging (fMRI); Miscellaneous Neuroimaging
| Title | First Author | Code | |
|---|---|---|---|
| Model-Based Convolutional De-Aliasing Network Learning for Parallel MR Imaging | Yanxia Chen | LNCS | Code |
| Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Networks | Gihyun Kwon | LNCS | Code |
| Predicting the Evolution of White Matter Hyperintensities in Brain MRI Using Generative Adversarial Networks and Irregularity Map | Muhammad Febrian Rachmadi | LNCS | Code |
| 3D Dilated Multi-fiber Network for Real-Time Brain Tumor Segmentation in MRI | Chen Chen | LNCS | Code |
| Refined Segmentation R-CNN: A Two-Stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants | Yalong Liu | LNCS | Code |
| X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-Range Dependencies | Kehan Qi | LNCS | Code |
| CLCI-Net: Cross-Level Fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke | Hao Yang | LNCS | Code |
| Unsupervised Deep Learning for Bayesian Brain MRI Segmentation | Adrian V. Dalca | LNCS | Code |
| A Partially Reversible U-Net for Memory-Efficient Volumetric Image Segmentation | Robin Brügger | LNCS | Code |
| Cortical Surface Parcellation Using Spherical Convolutional Neural Networks | Prasanna Parvathaneni | LNCS | Code |
| Deep White Matter Analysis: Fast, Consistent Tractography Segmentation Across Populations and dMRI Acquisitions | Fan Zhang | LNCS | Code |
| DeepTract: A Probabilistic Deep Learning Framework for White Matter Fiber Tractography | Itay Benou | LNCS | Code |
Part IV, LNCS Volume 11767 Shape; Prediction; Detection and Localization; Machine Learning; Computer-Aided Diagnosis; Image Reconstruction and Synthesis
| Title | First Author | Code | |
|---|---|---|---|
| Multiple Landmark Detection Using Multi-agent Reinforcement Learning | Athanasios Vlontzos | LNCS | Code |
| Unsupervised Anomaly Localization Using Variational Auto-Encoders | David Zimmerer | LNCS | Code |
| Multi-stage Prediction Networks for Data Harmonization | Stefano B. Blumberg | LNCS | Code |
| Bayesian Volumetric Autoregressive Generative Models for Better Semisupervised Learning | Guilherme Pombo | LNCS | Code |
| Overcoming Data Limitation in Medical Visual Question Answering | Binh D. Nguyen | LNCS | Code |
| VS-Net: Variable Splitting Network for Accelerated Parallel MRI Reconstruction | Jinming Duan | LNCS | Code |
| Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis | Zongwei Zhou | Keras | |
| Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification | Christoph Haarburger | LNCS, arXiv | PyTorch |
Part V, LNCS Volume 11768 Computer-Assisted Interventions; MIC Meets CAI
| Title | First Author | Code | |
|---|---|---|---|
| INN: Inflated Neural Networks for IPMN Diagnosis | Rodney LaLonde | LNCS | Code |
| Generating Large Labeled Data Sets for Laparoscopic Image Processing Tasks Using Unpaired Image-to-Image Translation | Micha Pfeiffer | LNCS | Code |
| Variational Shape Completion for Virtual Planning of Jaw Reconstructive Surgery | Amir H. Abdi | LNCS | Code |
| Incorporating Temporal Prior from Motion Flow for Instrument Segmentation in Minimally Invasive Surgery Video | Yueming Jin | LNCS | Code |
| Hard Frame Detection and Online Mapping for Surgical Phase Recognition | Fangqiu Yi | LNCS | Code |
| Using 3D Convolutional Neural Networks to Learn Spatiotemporal Features for Automatic Surgical Gesture Recognition in Video | Isabel Funke | LNCS | Code |
| Matwo-CapsNet: A Multi-label Semantic Segmentation Capsules Network | Savinien Bonheur | LNCS | Code |
| LumiPath – Towards Real-Time Physically-Based Rendering on Embedded Devices | Laura Fink | LNCS | Code |
Part VI, LNCS Volume 11769 Computed Tomography; X-ray Imaging
| Title | First Author | Code | |
|---|---|---|---|
| ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction | Haofu Liao | MICCAI&TMI | pytorch |
| Adversarial Regression Training for Visualizing the Progression of Chronic Obstructive Pulmonary Disease with Chest X-Rays | Ricardo Bigolin Lanfredi | LNCS | Code |
| NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation | Hao Tang | LNCS | Code |
| Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-scale Booster | Qingbin Shao | LNCS | Code |
| Misshapen Pelvis Landmark Detection by Spatial Local Correlation Mining for Diagnosing Developmental Dysplasia of the Hip | Chuanbin Liu | LNCS | Code |
| Adversarial Policy Gradient for Deep Learning Image Augmentation | Kaiyang Cheng | LNCS | Code |
| Anatomical Priors for Image Segmentation via Post-processing with Denoising Autoencoders | Agostina J. Larrazabal | LNCS | Code |
| How to Learn from Unlabeled Volume Data: Self-supervised 3D Context Feature Learning | Maximilian Blendowski | LNCS | Code |
| Extract Bone Parts Without Human Prior: End-to-end Convolutional Neural Network for Pediatric Bone Age Assessment | Chuanbin Liu | LNCS | Code |
| Adversarial Regression Training for Visualizing the Progression of Chronic Obstructive Pulmonary Disease with Chest X-Rays | Ricardo Bigolin Lanfredi | LNCS | Code |
Any contributions are welcome! Such as arxiv PDF link, new released code and so on.