Embedded Files
Journals
Journals
MANet: Multi-branch attention auxiliary learning for lung nodule detection and segmentation
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
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
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
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
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
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
Conferences
CCBANet: Cascading Context and Balancing Attention for Polyp Segmentation
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Challenges
HCMUS at MediaEval2021: Polyps Segmentation using TransFuse with Focal Tversky Loss
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
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
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
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
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
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
Arxiv
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge
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
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
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
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
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