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07/11/2023
MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning
Despite the recent progress in incremental learning, addressing catastro...
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05/23/2023
Mixup-Privacy: A simple yet effective approach for privacy-preserving segmentation
Privacy protection in medical data is a legitimate obstacle for centrali...
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05/15/2023
What Matters in Reinforcement Learning for Tractography
Recently, deep reinforcement learning (RL) has been proposed to learn th...
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03/28/2023
TFS-ViT: Token-Level Feature Stylization for Domain Generalization
Standard deep learning models such as convolutional neural networks (CNN...
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01/27/2023
Harmonizing Flows: Unsupervised MR harmonization based on normalizing flows
In this paper, we propose an unsupervised framework based on normalizing...
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01/18/2023
Active learning for medical image segmentation with stochastic batches
The performance of learning-based algorithms improves with the amount of...
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01/16/2023
TAAL: Test-time Augmentation for Active Learning in Medical Image Segmentation
Deep learning methods typically depend on the availability of labeled da...
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10/20/2022
TTTFlow: Unsupervised Test-Time Training with Normalizing Flow
A major problem of deep neural networks for image classification is thei...
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06/09/2022
Deep radiomic signature with immune cell markers predicts the survival of glioma patients
Imaging biomarkers offer a non-invasive way to predict the response of i...
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06/04/2022
Deep Radiomic Analysis for Predicting Coronavirus Disease 2019 in Computerized Tomography and X-ray Images
This paper proposes to encode the distribution of features learned from ...
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11/16/2021
Diversified Multi-prototype Representation for Semi-supervised Segmentation
This work considers semi-supervised segmentation as a dense prediction p...
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09/21/2021
Mixed-supervised segmentation: Confidence maximization helps knowledge distillation
Despite achieving promising results in a breadth of medical image segmen...
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09/09/2021
Trust your neighbors: A comprehensive survey of neighborhood-based methods for recommender systems
Collaborative recommendation approaches based on nearest-neighbors are s...
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08/09/2021
Manifold-aware Synthesis of High-resolution Diffusion from Structural Imaging
The physical and clinical constraints surrounding diffusion-weighted ima...
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03/11/2021
Efficient Pairwise Neuroimage Analysis using the Soft Jaccard Index and 3D Keypoint Sets
We propose a novel pairwise distance measure between variable-sized sets...
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03/08/2021
Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information Regularization
The scarcity of labeled data often impedes the application of deep learn...
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12/15/2020
Teach me to segment with mixed supervision: Confident students become masters
Deep segmentation neural networks require large training datasets with p...
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11/25/2020
Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy
We propose a client-server system which allows for the analysis of multi...
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10/13/2020
Machine learning for the diagnosis of Parkinson's disease: A systematic review
Diagnosis of Parkinson's disease (PD) is commonly based on medical obser...
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09/29/2020
Realistic Image Normalization for Multi-Domain Segmentation
Image normalization is a building block in medical image analysis. Conve...
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04/01/2020
Manifold-Aware CycleGAN for High Resolution Structural-to-DTI Synthesis
Unpaired image-to-image translation has been applied successfully to nat...
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03/31/2020
Graph Domain Adaptation for Alignment-Invariant Brain Surface Segmentation
The varying cortical geometry of the brain creates numerous challenges f...
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03/20/2020
Out-of-Distribution Detection for Skin Lesion Images with Deep Isolation Forest
In this paper, we study the problem of out-of-distribution detection in ...
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12/02/2019
Adversarial normalization for multi domain image segmentation
Image normalization is a critical step in medical imaging. This step is ...
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11/22/2019
Learnable Pooling in Graph Convolution Networks for Brain Surface Analysis
Brain surface analysis is essential to neuroscience, however, the comple...
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11/22/2019
Spectral Graph Transformer Networks for Brain Surface Parcellation
The analysis of the brain surface modeled as a graph mesh is a challengi...
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11/15/2019
Deep radiomic features from MRI scans predict survival outcome of recurrent glioblastoma
This paper proposes to use deep radiomic features (DRFs) from a convolut...
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10/03/2019
Information based Deep Clustering: An experimental study
Recently, two methods have shown outstanding performance for clustering ...
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10/02/2019
Boosting Image Recognition with Non-differentiable Constraints
In this paper, we study the problem of image recognition with non-differ...
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09/09/2019
Privacy-Net: An Adversarial Approach For Identity-obfuscated Segmentation
This paper presents a privacy-preserving network oriented towards medica...
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08/30/2019
Revisiting CycleGAN for semi-supervised segmentation
In this work, we study the problem of training deep networks for semanti...
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08/15/2019
Discretely-constrained deep network for weakly supervised segmentation
An efficient strategy for weakly-supervised segmentation is to impose co...
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04/08/2019
Log-barrier constrained CNNs
This study investigates imposing inequality constraints on the outputs o...
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03/27/2019
Deep Co-Training for Semi-Supervised Image Segmentation
In this paper, we aim to improve the performance of semantic image segme...
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12/17/2018
Boundary loss for highly unbalanced segmentation
Widely used loss functions for convolutional neural network (CNN) segmen...
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11/19/2018
IVD-Net: Intervertebral disc localization and segmentation in MRI with a multi-modal UNet
Accurate localization and segmentation of intervertebral disc (IVD) is c...
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10/29/2018
Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
We address the problem of segmenting 3D multi-modal medical images in sc...
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10/16/2018
Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities
Delineating infarcted tissue in ischemic stroke lesions is crucial to de...
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05/28/2018
Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks
Precise segmentation of bladder walls and tumor regions is an essential ...
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04/15/2018
White matter fiber analysis using kernel dictionary learning and sparsity priors
Diffusion magnetic resonance imaging, a non-invasive tool to infer white...
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04/09/2018
HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation
Recently, dense connections have attracted substantial attention in comp...
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03/27/2018
Graph Convolutions on Spectral Embeddings: Learning of Cortical Surface Data
Neuronal cell bodies mostly reside in the cerebral cortex. The study of ...
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12/14/2017
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation
Precise 3D segmentation of infant brain tissues is an essential step tow...
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11/29/2017
Modeling Information Flow Through Deep Neural Networks
This paper proposes a principled information theoretic analysis of class...
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10/16/2017
HyperDense-Net: A densely connected CNN for multi-modal image segmentation
Neonatal brain segmentation in magnetic resonance (MR) is a challenging ...
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09/18/2017
Multi-modal analysis of genetically-related subjects using SIFT descriptors in brain MRI
So far, fingerprinting studies have focused on identifying features from...
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09/18/2017
White Matter Fiber Segmentation Using Functional Varifolds
The extraction of fibers from dMRI data typically produces a large numbe...
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04/11/2017