Search Results for author: Yiming Xiao

Found 15 papers, 4 papers with code

MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation

no code implementations29 Mar 2024 Taha Koleilat, Hojat Asgariandehkordi, Hassan Rivaz, Yiming Xiao

Medical image segmentation of anatomical structures and pathology is crucial in modern clinical diagnosis, disease study, and treatment planning.

Image Segmentation Medical Image Segmentation +3

Joint chest X-ray diagnosis and clinical visual attention prediction with multi-stage cooperative learning: enhancing interpretability

no code implementations25 Mar 2024 Zirui Qiu, Hassan Rivaz, Yiming Xiao

As deep learning has become the state-of-the-art for computer-assisted diagnosis, interpretability of the automatic decisions is crucial for clinical deployment.

Contrastive Learning Multi-Task Learning

Architecture Analysis and Benchmarking of 3D U-shaped Deep Learning Models for Thoracic Anatomical Segmentation

1 code implementation5 Feb 2024 Arash Harirpoush, Amirhossein Rasoulian, Marta Kersten-Oertel, Yiming Xiao

We conduct the first systematic benchmark study for variants of 3D U-shaped models (3DUNet, STUNet, AttentionUNet, SwinUNETR, FocalSegNet, and a novel 3D SwinUnet with four variants) with a focus on CT-based anatomical segmentation for thoracic surgery.

Benchmarking Image Segmentation +3

Is visual explanation with Grad-CAM more reliable for deeper neural networks? a case study with automatic pneumothorax diagnosis

no code implementations29 Aug 2023 Zirui Qiu, Hassan Rivaz, Yiming Xiao

While deep learning techniques have provided the state-of-the-art performance in various clinical tasks, explainability regarding their decision-making process can greatly enhance the credence of these methods for safer and quicker clinical adoption.

Decision Making

Weakly supervised segmentation of intracranial aneurysms using a novel 3D focal modulation UNet

1 code implementation6 Aug 2023 Amirhossein Rasoulian, Arash Harirpoush, Soorena Salari, Yiming Xiao

In the paper, we propose FocalSegNet, a novel 3D focal modulation UNet, to detect an aneurysm and offer an initial, coarse segmentation of it from time-of-flight MRA image patches, which is further refined with a dense conditional random field (CRF) post-processing layer to produce a final segmentation map.

Image Segmentation Learning with coarse labels +5

Towards multi-modal anatomical landmark detection for ultrasound-guided brain tumor resection with contrastive learning

no code implementations26 Jul 2023 Soorena Salari, Amirhossein Rasoulian, Hassan Rivaz, Yiming Xiao

Specifically, two convolutional neural networks were trained jointly to encode image features in MRI and US scans to help match the US image patch that contain the corresponding landmarks in the MRI.

Contrastive Learning Image Registration

FocalErrorNet: Uncertainty-aware focal modulation network for inter-modal registration error estimation in ultrasound-guided neurosurgery

no code implementations26 Jul 2023 Soorena Salari, Amirhossein Rasoulian, Hassan Rivaz, Yiming Xiao

In brain tumor resection, accurate removal of cancerous tissues while preserving eloquent regions is crucial to the safety and outcomes of the treatment.

Weakly Supervised Intracranial Hemorrhage Segmentation using Head-Wise Gradient-Infused Self-Attention Maps from a Swin Transformer in Categorical Learning

1 code implementation11 Apr 2023 Amirhossein Rasoulian, Soorena Salari, Yiming Xiao

With a mean Dice score of 0. 44, our technique achieved similar ICH segmentation performance as the popular U-Net and Swin-UNETR models with full supervision and outperformed a similar weakly supervised approach using GradCAM, demonstrating the excellent potential of the proposed framework in challenging medical image segmentation tasks.

Binary Classification Image Segmentation +3

DiffeoRaptor: Diffeomorphic Inter-modal Image Registration using RaPTOR

1 code implementation12 Sep 2022 Nima Masoumi, Hassan Rivaz, M. Omair Ahmad, Yiming Xiao

Results: The proposed algorithm, named DiffeoRaptor, was validated with three public databases for the tasks of brain and abdominal image registration while comparing the results against three state-of-the-art techniques, including FLASH, NiftyReg, and Symmetric image normalization (SyN).

Image Registration

Do Public Datasets Assure Unbiased Comparisons for Registration Evaluation?

no code implementations20 Mar 2020 Jie Luo, Guangshen Ma, Sarah Frisken, Parikshit Juvekar, Nazim Haouchine, Zhe Xu, Yiming Xiao, Alexandra Golby, Patrick Codd, Masashi Sugiyama, William Wells III

In this study, we use the variogram to screen the manually annotated landmarks in two datasets used to benchmark registration in image-guided neurosurgeries.

Image Registration

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