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07/31/2023
Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training
Harnessing the power of pre-training on large-scale datasets like ImageN...
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04/10/2023
Ambiguous Medical Image Segmentation using Diffusion Models
Collective insights from a group of experts have always proven to outper...
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03/20/2023
CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D Recognition
Vision-Language models like CLIP have been widely adopted for various ta...
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06/16/2022
Orientation-guided Graph Convolutional Network for Bone Surface Segmentation
Due to imaging artifacts and low signal-to-noise ratio in ultrasound ima...
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06/16/2022
Simultaneous Bone and Shadow Segmentation Network using Task Correspondence Consistency
Segmenting both bone surface and the corresponding acoustic shadow are f...
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05/31/2022
SAR Despeckling Using Overcomplete Convolutional Networks
Synthetic Aperture Radar (SAR) despeckling is an important problem in re...
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03/29/2022
Target and Task specific Source-Free Domain Adaptive Image Segmentation
Solving the domain shift problem during inference is essential in medica...
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03/10/2022
On-the-Fly Test-time Adaptation for Medical Image Segmentation
One major problem in deep learning-based solutions for medical imaging i...
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03/09/2022
UNeXt: MLP-based Rapid Medical Image Segmentation Network
UNet and its latest extensions like TransUNet have been the leading medi...
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01/23/2022
Transformer-based SAR Image Despeckling
Synthetic Aperture Radar (SAR) images are usually degraded by a multipli...
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11/29/2021
TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions
Removing adverse weather conditions like rain, fog, and snow from images...
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09/20/2021
R2D: Learning Shadow Removal to Enhance Fine-Context Shadow Detection
Current shadow detection methods perform poorly when detecting shadow re...
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09/16/2021
SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving
Road extraction is an essential step in building autonomous navigation s...
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07/19/2021
Image Fusion Transformer
In image fusion, images obtained from different sensors are fused to gen...
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07/06/2021
Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual Reconstruction
Hyperspectral pansharpening aims to synthesize a low-resolution hyperspe...
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06/16/2021
Over-and-Under Complete Convolutional RNN for MRI Reconstruction
Reconstructing magnetic resonance (MR) images from undersampled data is ...
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02/21/2021
Medical Transformer: Gated Axial-Attention for Medical Image Segmentation
Over the past decade, Deep Convolutional Neural Networks have been widel...
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12/08/2020
Overcomplete Representations Against Adversarial Videos
Adversarial robustness of deep neural networks is an extensively studied...
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11/16/2020
Overcomplete Deep Subspace Clustering Networks
Deep Subspace Clustering Networks (DSC) provide an efficient solution to...
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10/20/2020
Exploring Overcomplete Representations for Single Image Deraining using CNNs
Removal of rain streaks from a single image is an extremely challenging ...
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10/04/2020
