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09/11/2023
On the detection of Out-Of-Distribution samples in Multiple Instance Learning
The deployment of machine learning solutions in real-world scenarios oft...
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08/28/2023
Spatio-Temporal Analysis of Patient-Derived Organoid Videos Using Deep Learning for the Prediction of Drug Efficacy
Over the last ten years, Patient-Derived Organoids (PDOs) emerged as the...
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06/27/2023
Structured State Space Models for Multiple Instance Learning in Digital Pathology
Multiple instance learning is an ideal mode of analysis for histopatholo...
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06/16/2023
Towards Better Certified Segmentation via Diffusion Models
The robustness of image segmentation has been an important research topi...
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03/22/2023
MEDIMP: Medical Images and Prompts for renal transplant representation learning
Renal transplantation emerges as the most effective solution for end-sta...
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03/10/2023
Improving Domain-Invariance in Self-Supervised Learning via Batch Styles Standardization
The recent rise of Self-Supervised Learning (SSL) as one of the preferre...
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11/29/2022
Artifact Removal in Histopathology Images
In the clinical setting of histopathology, whole-slide image (WSI) artif...
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08/26/2022
Region-guided CycleGANs for Stain Transfer in Whole Slide Images
In whole slide imaging, commonly used staining techniques based on hemat...
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07/17/2022
Gigapixel Whole-Slide Images Classification using Locally Supervised Learning
Histopathology whole slide images (WSIs) play a very important role in c...
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06/20/2022
Test-time image-to-image translation ensembling improves out-of-distribution generalization in histopathology
Histopathology whole slide images (WSIs) can reveal significant inter-ho...
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12/08/2021
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
To date few studies have comprehensively compared medical image registra...
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11/23/2021
MICS : Multi-steps, Inverse Consistency and Symmetric deep learning registration network
Deformable registration consists of finding the best dense correspondenc...
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09/07/2021
Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology
The examination of histopathology images is considered to be the gold st...
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07/27/2021
Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment
Sarcopenia is a medical condition characterized by a reduction in muscle...
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07/23/2021
Exploring Deep Registration Latent Spaces
Explainability of deep neural networks is one of the most challenging an...
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06/30/2021
Multi-Source domain adaptation via supervised contrastive learning and confident consistency regularization
Multi-Source Unsupervised Domain Adaptation (multi-source UDA) aims to l...
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05/10/2021
Weakly supervised pan-cancer segmentation tool
The vast majority of semantic segmentation approaches rely on pixel-leve...
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05/06/2021
Sparse convolutional context-aware multiple instance learning for whole slide image classification
Whole slide microscopic slides display many cues about the underlying ti...
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10/21/2020
Deep learning based registration using spatial gradients and noisy segmentation labels
Image registration is one of the most challenging problems in medical im...
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07/16/2020
Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention
Segmentation and accurate localization of nuclei in histopathological im...
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04/10/2020
Weakly supervised multiple instance learning histopathological tumor segmentation
Histopathological image segmentation is a challenging and important topi...
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10/17/2019
Detecting Urban Changes with Recurrent Neural Networks from Multitemporal Sentinel-2 Data
The advent of multitemporal high resolution data, like the Copernicus S...
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11/05/2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
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09/13/2018