output
20022026
most citedThe Astropy Project: Building an inclusive, open-science project and status of the v2.0 core package

7.7k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing eess.IVShow all

9 papers · 1 filter

eess.IV2025★ 1 cited

Graph-Theoretic Consistency for Robust and Topology-Aware Semi-Supervised Histopathology Segmentation

Ha-Hieu Pham, Minh Le, Han Huynh +2

Semi-supervised semantic segmentation (SSSS) is vital in computational pathology, where dense annotations are costly and limited. Existing methods often rely on pixel-level consist…

eess.IV2025★ 8 cited

Recent Advances in Medical Image Classification

Loan Dao, Ngoc Quoc Ly

Medical image classification is crucial for diagnosis and treatment, benefiting significantly from advancements in artificial intelligence. The paper reviews recent progress in the…

eess.IV2025★ 8 cited

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks

Loan Dao, Ngoc Quoc Ly

Over the past decade, Medical Image Segmentation (MIS) using Deep Neural Networks (DNNs) has achieved significant performance improvements and holds great promise for future develo…

eess.IV2025

Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding

Tuan-Luc Huynh, Thanh-Danh Le, Tam V. Nguyen +2

In this paper, we address the crucial task of brain tumor segmentation in medical imaging and propose innovative approaches to enhance its performance. The current state-of-the-art…

eess.IV2023★ 6 cited

StarSRGAN: Improving Real-World Blind Super-Resolution

Khoa D. Vo, Len T. Bui

The aim of blind super-resolution (SR) in computer vision is to improve the resolution of an image without prior knowledge of the degradation process that caused the image to be lo…

eess.IV2022★ 8 cited

Histopathological Imaging Classification of Breast Tissue for Cancer Diagnosis Support Using Deep Learning Models

Tat-Bao-Thien Nguyen, Minh-Vuong Ngo, Van-Phong Nguyen

According to some medical imaging techniques, breast histopathology images called Hematoxylin and Eosin are considered as the gold standard for cancer diagnoses. Based on the idea…

eess.IV2022★ 45 cited

SegTransVAE: Hybrid CNN -- Transformer with Regularization for medical image segmentation

Quan-Dung Pham, Hai Nguyen-Truong, Nam Nguyen Phuong +1

Current research on deep learning for medical image segmentation exposes their limitations in learning either global semantic information or local contextual information. To tackle…

eess.IV2021★ 12 cited

DAM-AL: Dilated Attention Mechanism with Attention Loss for 3D Infant Brain Image Segmentation

Dinh-Hieu Hoang, Gia-Han Diep, Minh-Triet Tran +1

While Magnetic Resonance Imaging (MRI) has played an essential role in infant brain analysis, segmenting MRI into a number of tissues such as gray matter (GM), white matter (WM), a…

eess.IV2020★ 4 cited

Context Learning for Bone Shadow Exclusion in CheXNet Accuracy Improvement

Minh-Chuong Huynh, Trung-Hieu Nguyen, Minh-Triet Tran

Chest X-ray examination plays an important role in lung disease detection. The more accuracy of this task, the more experienced radiologists are required. After ChestX-ray14 datase…