Smart Health@SELab VNUHCM-US

Journals

MANet: Multi-branch attention auxiliary learning for lung nodule detection and segmentation

Comput. Methods Programs Biomed. 241: 107748 (2023)

Tan-Cong Nguyen, Tien-Phat Nguyen, Tri Cao, Thao Thi Phuong Dao, Thi-Ngoc Ho, Tam V. Nguyen, Minh-Triet Tran

Collaborative Consultation Doctors Model: Unifying CNN and ViT for COVID-19 Diagnostic

IEEE Access 11: 95346-95357 (2023)

Thuan Trong Nguyen, Tam V. Nguyen, Minh-Triet Tran

ColonFormer: An Efficient Transformer Based Method for Colon Polyp Segmentation

IEEE Access 10: 80575-80586 (2022)

CoRR abs/2205.08473 (2022)

Thanh Duc Nguyen, Thi-Oanh Nguyen, Nguyen Thi Thuy, Minh-Triet Tran, Dinh Viet Sang

SHREC 2021: Retrieval and classification of protein surfaces equipped with physical and chemical properties

Comput. Graph. 99: 1-21 (2021)

Andrea Raffo, Ulderico Fugacci, Silvia Biasotti, Walter Rocchia, Yonghuai Liu, Ekpo Otu, Reyer Zwiggelaar, David Hunter, Evangelia I. Zacharaki, Eleftheria Psatha, Dimitrios Laskos, Gerasimos Arvanitis, Konstantinos Moustakas, Tunde Aderinwale, Charles Christoffer, Woong-Hee Shin, Daisuke Kihara, Andrea Giachetti, Huu-Nghia Nguyen, Tuan-Duy Nguyen, Vinh-Thuyen Nguyen-Truong, Danh Le-Thanh, Hai-Dang Nguyen, Minh-Triet Tran

A Multi-Organ Nucleus Segmentation Challenge

IEEE Trans. Medical Imaging 39(5): 1380-1391 (2020)

Neeraj Kumar, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng, Jiahui Li, Zhiqiang Hu, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot, Xuhua Ren, Sihang Zhou, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi

A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging

Medical Image Anal. 70: 102007 (2021)

Debesh Jha, Sharib Ali, Steven Alexander Hicks, Vajira Thambawita, Hanna Borgli, Pia H. Smedsrud, Thomas de Lange, Konstantin Pogorelov, Xiaowei Wang, Philipp Harzig, Minh-Triet Tran, Wenhua Meng, Trung-Hieu Hoang, Danielle Dias, Tobey H. Ko, Taruna Agrawal, Olga Ostroukhova, Zeshan Khan, Muhammad Atif Tahir, Yang Liu, Yuan Chang, Mathias Kirkerød, Dag Johansen, Mathias Lux, Håvard D. Johansen, Michael A. Riegler, Pål Halvorsen

Conferences

CCBANet: Cascading Context and Balancing Attention for Polyp Segmentation

MICCAI (1) 2021: 633-643

Tan-Cong Nguyen, Tien-Phat Nguyen, Gia-Han Diep, Anh-Huy Tran-Dinh, Tam V. Nguyen, Minh-Triet Tran

EmbryosFormer: Deformable Transformer and Collaborative Encoding-Decoding for Embryos Stage Development Classification

WACV 2023: 1980-1989

CoRR abs/2210.04615 (2022)

Tien-Phat Nguyen, Trong-Thang Pham, Tri Nguyen, Hieu Le, Dung Nguyen, Hau Lam, Phong Nguyen, Jennifer Fowler, Minh-Triet Tran, Ngan Le

Enhancing Endoscopic Image Classification with Symptom Localization and Data Augmentation

ACM Multimedia 2019: 2578-2582

Trung-Hieu Hoang, Hai-Dang Nguyen, Viet-Anh Nguyen, Thanh-An Nguyen, Vinh-Tiep Nguyen, Minh-Triet Tran

Enhanced Rotation-Equivariant U-Net for Nuclear Segmentation

CVPR Workshops 2019: 1097-1104

Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do

Advanced Augmentation and Ensemble Approaches for Classifying Long-Tailed Multi-Label Chest X-Rays

ICCV (Workshops) 2023: 2721-2730

Trong-Hieu Nguyen Mau, Tuan-Luc Huynh, Thanh-Danh Le, Hai-Dang Nguyen, Minh-Triet Tran

Semi-supervised Organ Segmentation with Mask Propagation Refinement and Uncertainty Estimation for Data Generation

FLARE@MICCAI 2022: 163-177

Minh-Khoi Pham, Thang-Long Nguyen-Ho, Thao Thi Phuong Dao, Tan-Cong Nguyen, Minh-Triet Tran

Vision-Based Assistance for Vocal Fold Identification in Laryngoscopy with Knowledge Distillation

MedInfo 2023: 946-950

Thao Thi Phuong Dao, Minh-Khoi Pham, Mai-Khiem Tran, Chanh Cong Ha, Boi Ngoc Van, Bich Anh Tran, Minh-Triet Tran

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

SAC 2022: 660-668

CoRR abs/2112.13559 (2021)

Dinh-Hieu Hoang, Gia-Han Diep, Minh-Triet Tran, Ngan T. H. Le

PEFNet: Positional Embedding Feature for Polyp Segmentation

MMM (2) 2023: 240-251

Trong-Hieu Nguyen Mau, Quoc-Huy Trinh, Nhat-Tan Bui, Phuoc-Thao Vo Thi, Minh-Van Nguyen, Xuan-Nam Cao, Minh-Triet Tran, Hai-Dang Nguyen

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

PSIVT 2023: 138-152

Tuan-Luc Huynh, Thanh-Danh Le, Tam V. Nguyen, Trung-Nghia Le, Minh-Triet Tran

Combining Deep Learning And Medical Knowledge to Detect Cadiomegaly and Pleural Effusion in Chest X-rays Diagnosis

SoICT 2023: 562-569

Dai-Nghia Nguyen, Lan-Anh Le-Pham, Hai-Dang Nguyen, Minh-Triet Tran 

Volumetric CT Segmentation with Mask Propagation Using Segment Anything

SoICT 2023: 623-630

Huu-Hung Nguyen, Cong-Tai Nguyen, Minh-Triet Tran

A Comprehensive Web Annotation Application for Organ Image Segmentation and Predictive Inference

SoICT 2023: 850-855

Cong-Tai Nguyen, Huu-Hung Nguyen, Minh-Triet Tran

ConvTransNet: Merging Convolution with Transformer to Enhance Polyp Segmentation

SoICT 2023: 631-638

Trong-Hieu Nguyen Mau, Trong-Vu Hoang, Hai-Dang Nguyen, Minh-Triet Tran

Multiclass Skin Disease Classification within Dermoscopic Images Using Deep Neural Networks

SoICT 2023: 607-614

Minh-Quan Ho-Le, Hoang-Hung Vo-Trung, Phuc-Tan Nguyen, Trong-Thuan Nguyen, Minh-Triet Tran

Context Learning for Bone Shadow Exclusion in CheXNet Accuracy Improvement

10th International Conference on Knowledge and Systems Engineering, KSE 2018, Ho Chi Minh City, Vietnam, November 1-3, 2018

CoRR abs/2005.06189 (2020)

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

M2UNet: MetaFormer Multi-Scale Upsampling Network for Polyp Segmentation

EUSIPCO 2023: 1115-1119

CoRR abs/2306.08600 (2023)

Quoc-Huy Trinh, Nhat-Tan Bui, Trong-Hieu Nguyen Mau, Minh-Van Nguyen, Hai-Minh Phan, Minh-Triet Tran, Hai-Dang Nguyen

Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation

2022 RIVF International Conference on Computing and Communication Technologies (RIVF)

 CoRR abs/2301.06673 (2023)

Trong-Hieu Nguyen-Mau, Quoc-Huy Trinh, Nhat-Tan Bui, Minh-Triet Tran, Hai-Dang Nguyen


Polyp Instance Segmentation in Colonoscopy Images: A Benchmark

BCD 2023: 148-153

Tan-Cong Nguyen, Kim Anh Phung, Thao Thi Phuong Dao, Ju Shen, Tam V. Nguyen, Minh-Triet Tran

Challenges

HCMUS at MediaEval2021: Polyps Segmentation using TransFuse with Focal Tversky Loss

MediaEval 2021

Nhat-Khang Ngô, Tuan-Luc Huynh, Thanh-Danh Le, Hai-Dang Nguyen, Minh-Triet Tran

HCMUS at MediaEval2021: PointRend with Attention Fusion Refinement for Polyps Segmentation

MediaEval 2021

E.-Ro Nguyen, Hai-Dang Nguyen, Minh-Triet Tran

HCMUS-Juniors at Medico Polyp Segmentation Task 2021: Efficient U-Net for Polyps Segmentation

MediaEval 2021

Quoc-Huy Trinh, Trong-Hieu Nguyen Mau, Minh-Van Nguyen, Van-Son Ho, Tan-Cong Nguyen, Hai-Dang Nguyen, Minh-Triet Tran

HCMUS at Medico Automatic Polyp Segmentation Task 2020: PraNet and ResUnet++ for Polyps Segmentation

MediaEval 2020

Tien-Phat Nguyen, Tan-Cong Nguyen, Gia-Han Diep, Minh-Quan Le, Hoang-Phuc Nguyen-Dinh, Hai-Dang Nguyen, Minh-Triet Tran

HCMUS-Juniors 2020 at Medico Task in MediaEval 2020: Refined Deep Neural Network and U-Net for Polyps Segmentation

MediaEval 2020

Quoc-Huy Trinh, Minh-Van Nguyen, Thiet-Gia Huynh, Minh-Triet Tran

An Application of Residual Network and Faster - RCNN for Medico: Multimedia Task at MediaEval 2018

MediaEval 2018

Trung-Hieu Hoang, Hai-Dang Nguyen, Thanh-An Nguyen, Vinh-Tiep Nguyen, Minh-Triet Tran

Arxiv

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge

CoRR abs/2310.16112 (2023)

Gregory Holste, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen Mau, Minh-Triet Tran, Jaehyup Jeong, Wongi Park, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng

SAM3D: Segment Anything Model in Volumetric Medical Images

CoRR abs/2309.03493 (2023)

Nhat-Tan Bui, Dinh-Hieu Hoang, Minh-Triet Tran, Ngan Le

MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp Segmentation

CoRR abs/2309.03329 (2023)

Nhat-Tan Bui, Dinh-Hieu Hoang, Quang-Thuc Nguyen, Minh-Triet Tran, Ngan Le

TSRNet: Simple Framework for Real-time ECG Anomaly Detection with Multimodal Time and Spectrogram Restoration Network

CoRR abs/2312.10187 (2023)

Nhat-Tan Bui, Dinh-Hieu Hoang, Thinh Phan, Minh-Triet Tran, Brijesh Patel, Donald A. Adjeroh, Ngan Le