Image Segmentation using U-Net Architecture for Powder X-ray Diffraction Images Paper • 2310.16186 • Published Oct 24, 2023 • 2
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes Paper • 1709.07330 • Published Sep 21, 2017 • 2
Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans Paper • 1801.08599 • Published Jan 25, 2018 • 2
RTSeg: Real-time Semantic Segmentation Comparative Study Paper • 1803.02758 • Published Mar 7, 2018 • 2
Generalizability vs. Robustness: Adversarial Examples for Medical Imaging Paper • 1804.00504 • Published Mar 23, 2018 • 2
Hierarchical multi-class segmentation of glioma images using networks with multi-level activation function Paper • 1810.09488 • Published Oct 22, 2018 • 2
IVD-Net: Intervertebral disc localization and segmentation in MRI with a multi-modal UNet Paper • 1811.08305 • Published Nov 19, 2018 • 2
A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images Paper • 1905.10835 • Published May 26, 2019 • 2
Enforcing temporal consistency in Deep Learning segmentation of brain MR images Paper • 1906.07160 • Published Jun 13, 2019 • 3
SkipNet: Learning Dynamic Routing in Convolutional Networks Paper • 1711.09485 • Published Nov 26, 2017 • 2
Skip-Connected Neural Networks with Layout Graphs for Floor Plan Auto-Generation Paper • 2309.13881 • Published Sep 25, 2023 • 2
Head and Neck Tumor Segmentation from [18F]F-FDG PET/CT Images Based on 3D Diffusion Model Paper • 2401.17593 • Published Jan 31 • 2
Inter-Scale Dependency Modeling for Skin Lesion Segmentation with Transformer-based Networks Paper • 2310.13727 • Published Oct 20, 2023 • 2
3D Medical Image Segmentation based on multi-scale MPU-Net Paper • 2307.05799 • Published Jul 11, 2023 • 2
Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion Segmentation Paper • 2210.16898 • Published Oct 30, 2022 • 2
Self-Supervised U-Net for Segmenting Flat and Sessile Polyps Paper • 2110.08776 • Published Oct 17, 2021 • 2
Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images Paper • 2106.05843 • Published Jun 10, 2021 • 2
Saliency-Guided Deep Learning Network for Automatic Tumor Bed Volume Delineation in Post-operative Breast Irradiation Paper • 2105.02771 • Published May 6, 2021 • 2
Qutrit-inspired Fully Self-supervised Shallow Quantum Learning Network for Brain Tumor Segmentation Paper • 2009.06767 • Published Sep 14, 2020 • 2
The Effects of Image Pre- and Post-Processing, Wavelet Decomposition, and Local Binary Patterns on U-Nets for Skin Lesion Segmentation Paper • 1805.05239 • Published Apr 30, 2018 • 2
A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs Paper • 1908.08588 • Published Aug 22, 2019 • 2
Joint Liver and Hepatic Lesion Segmentation in MRI using a Hybrid CNN with Transformer Layers Paper • 2201.10981 • Published Jan 26, 2022 • 2
Meta-information-aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT Paper • 2303.00942 • Published Mar 2, 2023 • 2
Cross-Shaped Windows Transformer with Self-supervised Pretraining for Clinically Significant Prostate Cancer Detection in Bi-parametric MRI Paper • 2305.00385 • Published Apr 30, 2023 • 2
MAFormer: A Transformer Network with Multi-scale Attention Fusion for Visual Recognition Paper • 2209.01620 • Published Aug 31, 2022 • 2
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Paper • 2103.14030 • Published Mar 25, 2021 • 4
A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images Paper • 2104.12137 • Published Apr 25, 2021 • 2
Bootstrap your own latent: A new approach to self-supervised Learning Paper • 2006.07733 • Published Jun 13, 2020 • 2
Using Multi-scale SwinTransformer-HTC with Data augmentation in CoNIC Challenge Paper • 2202.13588 • Published Feb 28, 2022 • 2
From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in Histopathology Paper • 2204.05044 • Published Apr 11, 2022 • 2
Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology Paper • 2203.00585 • Published Mar 1, 2022 • 2
GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathological Image Detection Paper • 2104.14528 • Published Apr 29, 2021 • 2
Semi-Supervised Semantic Segmentation using Redesigned Self-Training for White Blood Cells Paper • 2401.07278 • Published Jan 14 • 2
Unifying Vision, Text, and Layout for Universal Document Processing Paper • 2212.02623 • Published Dec 5, 2022 • 10
Transferable and Principled Efficiency for Open-Vocabulary Segmentation Paper • 2404.07448 • Published Apr 11 • 11
RegionGPT: Towards Region Understanding Vision Language Model Paper • 2403.02330 • Published Mar 4 • 2
Efficient Transformer Encoders for Mask2Former-style models Paper • 2404.15244 • Published Apr 23 • 1
CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data Paper • 2404.15653 • Published Apr 24 • 26
Interactive3D: Create What You Want by Interactive 3D Generation Paper • 2404.16510 • Published Apr 25 • 18
Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks Paper • 2311.06242 • Published Nov 10, 2023 • 84
Surgical SAM 2: Real-time Segment Anything in Surgical Video by Efficient Frame Pruning Paper • 2408.07931 • Published Aug 15 • 18
Medical SAM 2: Segment medical images as video via Segment Anything Model 2 Paper • 2408.00874 • Published Aug 1 • 42