/MICCAI2019-OpenSourcePapers

MICCAI 2019 Open Source Papers

MICCAI 2019 Open Source Papers

Part I, LNCS Volume 11764 Optical Imaging; Endoscopy; Microscopy

Title First Author PDF 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 PDF 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 PDF TF
Closing the Gap between Deep and Conventional Image Registration using Probabilistic Dense Displacement Networks Mattias P. Heinrich PDF 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 PDF 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 PDF 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 PDF Keras

Part V, LNCS Volume 11768 Computer-Assisted Interventions; MIC Meets CAI

Title First Author PDF 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-TBD Computed Tomography; X-ray Imaging

Title First Author PDF Code
LNCS Code
LNCS Code

Any contributations are welcome! Such as arxiv PDF link, new released code and so on.