Virtual event

The virtual event will be hosted on GatherTown

Time: Wednesday, July 12 - 8:00–9:00 AM, CST
Link: https://app.gather.town/app/0nZxkYtl4V2FXwnK/MIDL%202023%20Virtual%20Event or click the GatherTown button

Full-paper track



P010 - Robust Detection Outcome: A Metric for Pathology Detection in Medical Images	P015 - A Robust Mean Teacher Framework for Semi-Supervised Cell Detection in Histopathology Images


O029 - Reproducibility of the Methods in Medical Imaging with Deep Learning.	P031 - MS-Former: Multi-Scale Self-Guided Transformer for Medical Image Segmentation


P032 - Rotation-Scale Equivariant Steerable Filters	P046 - Video pretraining advances 3D deep learning on chest CT tasks


P048 - Model Adaptive Tooth Segmentation	P053 - Bi-parametric prostate MR image synthesis using pathology and sequence-conditioned stable diffusion


P055 - MEDIMP: 3D Medical Images and clinical Prompts for renal transplant representation learning	P070 - Semantic Segmentation of 3D Medical Images Through a Kaleidoscope: Data from the Osteoarthritis Initiative


P073 - Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals	P075 - Whole brain radiomics for clustered federated personalization in brain tumor segmentation


P076 - Multimodal Image-Text Matching Improves Retrieval-based Chest X-Ray Report Generation	P082 - Incomplete learning of multi-modal connectome for brain disorder diagnosis via modal-mixup and deep supervision


P083 - Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI	P090 - Spatial Correspondence between Graph Neural Network-Segmented Images


P115 - MMCFormer: Missing Modality Compensation Transformer for Brain Tumor Segmentation	P117 - Prior Guided 3D Medical Image Landmark Localization


P129 - Semi-supervised Learning with Contrastive and Topology Losses for Catheter Segmentation and Misplacement Prediction	P138 - DBGSL: Dynamic Brain Graph Structure Learning


P139 - DBGDGM: Dynamic Brain Graph Deep Generative Model	P165 - Multi-scale Hierarchical Vision Transformer with Cascaded Attention Decoding for Medical Image Segmentation


P166 - Evaluating Adversarial Robustness of Low dose CT Recovery	P179 - Inherent Consistent Learning for Accurate Semi-supervised Medical Image Segmentation


P187 - TransRP: Transformer-based PET/CT feature extraction incorporating clinical data for recurrence-free survival prediction in oropharyngeal cancer	P189 - Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification


P199 - FUSQA: Fetal Ultrasound Segmentation Quality Assessment	P200 - SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification


P201 - Intra- and Inter-Cellular Awareness for 3D Neuron Tracking and Segmentation in Large-Scale Connectomics	P215 - Domain adaptation using optimal transport for invariant learning using histopathology datasets


P217 - One-Class SVM on siamese neural network latent space for Unsupervised Anomaly Detection on brain MRI White Matter Hyperintensities	P218 - MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging

Short paper track



S016 - Real-Time Quantitative Ultrasound and Radar Knowledge-Based Medical Imaging	S023 - A Deep-Learning Based Approach to Accelerate Groundtruth Generation for Biomarker Status Identification in Chromogenic Duplex Images


S027 - Generation of Multi-modal Brain Tumor MRIs with Disentangled Latent Diffusion Model	S030 - Data-Free One-Shot Federated Regression: An Application to Bone Age Assessment


S044 - Comp2Comp: Open-Source Body Composition Assessment on Computed Tomography	S045 - Shape Equivariant Learning for Robust MRI Segmentation


S050 - High-Fidelity Image Synthesis from Pulmonary Nodule Lesion Maps using Semantic Diffusion Model	S055 - Learning Retinal Representations from Multi-modal Imaging via Contrastive Pre-training


S067 - Nearest Neighbor Radiomics for Self-Supervised Chest X-ray Pneumonia Identification	S069 - Learning Patient Rotation Using Synthetic X-ray Images from 3D CT Volumes


S073 - 3D Supervised Contrastive-Learning Network for Classification of Ovarian Neoplasms	S082 - Uncertainty for Proximal Femur Fractures Classification


S085 - Caption generation from histopathology whole-slide images using pre-trained transformers	S087 - Overcoming Interpretability and Accuracy Trade-off in Medical Imaging


S093 - Characterizing Continual Learning Scenarios for Tumor Classification in Histopathology Images	S098 - ζ-mixup: Richer, More Realistic Mixing of Multiple Images


S101 - Facial AU-aid hypomimia diagnosis based on GNN	S110 - Deep Learning Regression of Cardiac Phase on Real-Time MRI


S112 - Automatic Contrast Phase Detection on Abdominal Computed Tomography using Clinically-Inspired Techniques	S114 - Expansion Microscopy Imaging Isotropic Restoration by Unsupervised Deep Learning


S117 - An end-to-end Complex-valued Neural Network approach for k-space interpolation in Parallel MRI	S120 - Improving Zero-Shot Detection of Low Prevalence Chest Pathologies using Domain Pre-trained Language Models


S121 - Bias Field Correction in MRI with Hampel Noise Denoising Diffusion Probabilistic Model	S123 - CSGAN: a consistent structural GAN for AS-OCT image despeckling by image translation

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