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Tue Dec 14 04:50 AM -- 02:00 PM (PST)
Medical Imaging meets NeurIPS
DOU QI · Marleen de Bruijne · Ben Glocker · Aasa Feragen · Herve Lombaert · Ipek Oguz · Jonas Teuwen · Islem Rekik · Darko Stern · Xiaoxiao Li

“Medical Imaging meets NeurIPS” aims to bring researchers together from the medical imaging and machine learning communities to create a cutting-edge venue for discussing the major challenges in the field and opportunities for research and novel applications. The proposed event will be the continuation of a successful workshop organized in NeurIPS 2017, 2018, 2019, and 2020. It will feature a series of invited speakers from academia, medical sciences and industry to present latest works in progress and give an overview of recent technological advances and remaining major challenges. The workshop website is https://sites.google.com/view/med-neurips-2021.

Opening Remarks (Talk)
Session 1 Keynote 1 (Keynote)
Q&A with Bram Ginneken (Keynote Q&A)
Session 1 Keynote 2 (Keynote)
Q&A with Mohammad Yaqub (Keynote Q&A)
Session 1 Oral 1 (Oral Presentation)
Q&A with Francisca Vasconcelos (Oral Q&A)
Session 1 Oral 2 (Oral Presentation)
Q&A with Cesare Magnetti (Oral Q&A)
Poster Session 1 & Coffee Break (Poster Session & Coffee Break)
Session 2 Keynote 1 (Keynote)
Q&A with Regina Barzilay (Keynote Q&A)
Session 2 Keynote 2 (Keynote)
Q&A with Melissa McCradden (Keynote Q&A)
Session 2 Oral 1 (Oral Presentation)
Q&A with Zhenzhen Wang (Oral Q&A)
Session 2 Oral 2 (Oral Presentation)
Q&A with Benoit Dufumier (Oral Q&A)
Poster Session 2 & Coffee Break (Poster Session & Coffee Break)
Session 3 Keynote 1 (Keynote)
Q&A with Quanzheng Li (Keynote Q&A)
Session 3 Keynote 2 (Keynote)
Q&A with Archana Venkataraman (Keynote Q&A)
Session 3 Oral 1 (Oral Presentation)
Q&A with Onat Dalmaz (Oral Q&A)
Session 3 Oral 2 (Oral Presentation)
Q&A with Ahmad Chamma (Oral Q&A)
RealNoiseMRI Challenge (Challenge)
Anatomical and Diagnostic Bayesian Segmentation in Prostate MRI —Should Different Clinical Objectives Mandate Different Loss Functions? (Poster)
Towards dynamic ground glass opacity and consolidation voxel classification in COVID-19 CT using Gaussian Mixture Model (Poster)
Using Temporal Similarity in Contrastive Learning for Multi-class Kidney Ultrasound Segmentation (Poster)
Weakly Supervised Multimodal 30-day all-cause Mortality Prediction for Pulmonary Embolism Patients (Poster)
Streaming Convolutional Attention Models (Poster)
Uncertainty Quantification in End-to-End Implicit Neural Representations for Medical Imaging (Poster)
Improving the Segmentation of Pediatric Low-Grade Gliomas through Multitask Learning (Poster)
PISTACHIO: Patch Importance Sampling To Accelerate CNNs via a Hash Index Optimizer (Poster)
Ensemble Learning for Robust Subtype Classification of COVID-19 and Semi-supervised Opacity Detection (Poster)
Unsupervised Approaches for Out-Of-Distribution Dermoscopic Lesion Detection (Poster)
Fusing simultaneously acquired EEG and fMRI via hierarchical deep transcoding (Poster)
Ranking Loss based Weakly Supervised Model for Prediction of HPV Infection Status from Multi-Gigapixel Histology Images (Poster)
Variable Importance on Medical Images and Socio-Demographic Data (Poster)
An Optimal Architecture for Semantic Segmentation in Multi-Gigapixel Images of Oral Dysplasia (Poster)
Classification of histopathology images using ConvNets to detect Lupus Nephritis (Poster)
Synthesis of Colon Cancer Tissue Images from Glandular Structure Layout (Poster)
3D Spinal Column Segmentation with Single Plane 2D-Projected Annotations (Poster)
Aiding Medical Diagnosis Through the Application of Graph Neural Networks to Functional MRI Scans (Poster)
Ensembles of temporal models and forward-backward smoothing for surgical phase recognition (Poster)
Severity Assessment of COVID-19 Pneumonia from Chest X-rays using Interpretable Machine Learning and a Multi-reader Dataset (Poster)
Targeted Active Learning using Submodular Mutual Information for Imbalanced Medical Image Classification (Poster)
Multi-Resolution Diffeomorphic Image Registration Using Efficient Flow Field Estimation (Poster)
Explainable medical image analysis by leveraging human-interpretable features through mutual information minimization (Poster)
Learning to Accelerate MR Screenings (Poster)
ECG for high-throughput screening of multiple diseases: Proof-of-concept using multi-diagnosis deep learning from population-based datasets (Poster)
MELoDee – Multi-Exponential model Learning based on Deep Neural Networks for Quantitative MRI Bio-Markers Estimation (Poster)
Diagnosis of Dyslexia by Mobile Gaze Tracking (Poster)
ChestFed: Model-Contrastive Federated Learning for Cardiopulmonary Disease Classification in Chest X-rays using Multiple Datasets (Poster)
Predicting future myocardial infarction from angiographies with deep learning (Poster)
Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models (Poster)
Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models (Poster)
Towards dynamic multi-modal phenotyping using chest radiographs and physiological data (Poster)
Self-Supervised Learning from Unlabeled Fundus Photographs Improves Segmentation of the Retina (Poster)
Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels (Poster)
Electromagnetic neural source imaging under sparsity constraints with SURE-based hyperparameter tuning (Poster)
Computer Vision Analysis of Caregiver-Child Interactions in Children with Neurodevelopmental Disorders (Poster)
Effect of pre-training scale on intra- and inter-domain transfer for natural and X-Ray chest images (Poster)
Improving the Fairness of Deep Chest X-ray Classifiers (Poster)
Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities (Poster)
Complexity in Facial dynamics using Computer Vision as Behavioral Assessment for Autism Spectrum Disorder (Poster)
Cross Modality 3D Navigation Using Reinforcement Learning and Neural Style Transfer (Poster)
Predicting future myocardial infarction from angiographies with deep learning (Poster)
Automatic Distinction Between Normal and Abnormal Lung Tissue on Ultrasound Examination (Poster)
Pseudo-domains in imaging data improve prediction of future disease status in multi-center studies (Poster)
Diversified Multi-prototype Representation for Semi-supervised Segmentation (Poster)
Uncertainty Quantification in Meningioma Segmentation using Bayesian Deep Learning (Poster)
Evaluating saliency methods on artificial data with different background types (Poster)
Deep Active Learning for Robust Biomedical Segmentation (Poster)
Gradient Clustering for Subtyping of Prediction Failures (Poster)
Explainability of Self-Supervised RepresentationLearning for Medical Ultrasound Video (Poster)
Self-Supervised Contrastive Learning for Electrocardiograms to Detect Left Ventricular Systolic Dysfunction (Poster)
Attention Shift: Interpretability Study of Texture-based Data Augmentation in Training U-Net Models for Brain Image Segmentation (Poster)
Deep Learning-based Opportunistic Osteoporosis Screening using Plain Film Radiography (Poster)
Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images (Poster)
Medical Image Synthesis with Residual Vision Transformers (Poster)
3-D PET Image Generation with Tumour Masks using TGAN (Poster)
Learning from Radiomics on Chest X-rays: Challenge and Application (Poster)
Localized Perturbations For Weakly-Supervised Segmentation of Glioma Brain Tumours (Poster)