Faculty

Institution

Unit

Venue

Minh N Do

Professor

University of Illinois Urbana-Champaign

Affiliations

The Grainger College of Engineering

Department of Bioengineering

Department of Electrical and Computer Engineering

Minh N Do is currently serving as a Bioengineering Professor at University of Illinois Urbana-Champaign.

Honors

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Experiences

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Education

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Minh N Do

University of Illinois Urbana-Champaign

Professor

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image analysis digital image processing computational imaging computer vision image representation machine vision computer science data science applied mathematics signal processing digital signal processing machine learning biomedical imaging radiology wavelets medical image computing deep learning computer graphics filter bank depth map multimedia information processing wavelet theory multimedia retrieval machine learning research signal reconstruction cancer imaging biomedical informatics information fusion multimedia computing multi-resolution method computer stereo vision image compression image reconstruction medical ultrasound multimedia modeling multi-view geometry multidimensional signal processing 3d computer vision image denoising image coding image similarity image retrieval convolutional neural networks filter design video understanding medical image analysis object detection realistic rendering quantitative phase imaging contourlet transform magnetic resonance imaging stereoscopic processing sparse representations synthetic aperture radar radar signal processing computer-aided diagnosis radar image processing 3d reconstruction computer-aided design spatial filtering imaging radar nonsubsampled contourlet transform new scheme depth maps ridgelet transform laplacian pyramid depth video directional filter bank filter banks plenoptic function contourlet expansion semantic image inpainting wavelet coefficients weighted mode texture images texture image digital imaging technology biomedical computing health technology medical imaging medical optical imaging

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Semi-Supervised Learning Framework With Cross-Magnification Attention for Glioma Mitosis Classification. (2025)

Manh Duong NguyenNguyen Dang Huy PhamPhi Le NguyenMinh N. Do

medical image computingbiomedical informaticsgliomassemi-supervised learningneurosciencemachine learningbrain tumor researchmedical image analysisdigital pathologycross-magnification attentionmachine learning researchglioma mitosis classificationdata sciencesemi-supervised learning frameworkimage analysispattern recognitionneuro-oncology

A Survey of Imu Based Cross-Modal Transfer Learning in Human Activity Recognition. arXiv (Cornell University) (2024)

Kamboj, AbhiDo, Minh

artificial intelligenceinformation fusiontransfer learningmultimodal learningcross-modality learningcross-modality transfer learningmultimedia information processingrobot learningkinesiologymachine learning researchdata scienceactivity recognitionmulti-task learningmachine learning

C3T: Cross-Modal Transfer Through Time for Human Action Recognition. arXiv (Cornell University) (2024)

Kamboj, AbhiNguyen, Anh DuyDo, Minh

information fusioncomputer sciencemultimodal learningmultimedia modelingcomputer visionmultimedia information processingmodality adaptationmachine learning researchtest modalitydata sciencemachine visionimage representationmultimodal signal processingpattern recognitionmachine learningcross-modal transfer

Implement Your Dsp Algorithm on Android Tablet: Real-Time Dsp Laboratory Course. 2021 ASEE Virtual Annual Conference Content Access Proceedings (2024)

Thomas MoonMinh Do

mobile signal processingcomputer scienceembedded systemsspectral analysissignal processingdsp applicationsreal-time techniquecomputing educationreal-time computingcomputer engineeringmobile computingdsp algorithmreal-time applicationcomputer architecturedigital signal processing

Improving the Robustness of 3D Human Pose Estimation: A Benchmark Dataset and Learning From Noisy Input. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2024)

Trung-Hieu HoangMona ZehniHuy PhanDuc Minh VoMinh N. Do

3d visioncomputer vision3d computer visionnoisy input3d pose estimationrobot learningbenchmark datasetmachine visiondata sciencehuman pose estimationmachine learning

Making Vision Transformers Truly Shift-Equivariant. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024)

Renan A. Rojas–GomezTeck-Yian LimMinh N. DoRaymond A. Yeh

vision recognitionmultimedia modelingcomputer stereo visioncomputer visionvision transformers trulycomputational imagingmachine visionimage representationimage analysisapplied mathematics

MASKDIFF: Modeling Mask Distribution With Diffusion Probabilistic Model for Few-Shot Instance Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence (2024)

Minh-Quan LeTam V. NguyenTrung-Nghia LeThanh-Toan DoMinh N. DoMinh-Triet Tran

computer sciencefew-shot instance segmentationcomputer visiondiffusion probabilistic modelfew-shot learningobject detectionmultiple instance learningmachine learning researchdata sciencemachine visionmask distributionimage analysisscene analysismachine learning

Modelling-Based Joint Embedding of Histology and Genomics Using Canonical Correlation Analysis for Breast Cancer Survival Prediction. Artificial Intelligence in Medicine (2024)

Vaishnavi SubramanianTanveer Syeda-MahmoodMinh N. Do

biostatisticsbreast cancerbiomedical informaticsdata-driven predictionbiomedical data sciencecancer histologysurvival predictiondifferent modalitiesmachine learningstatistical inferencecancer researchmachine learning researchdata sciencesurvival analysisstatistics

Point-Of-Care Multiplex Detection of Respiratory Viruses. ACS Sensors (2024)

Jongwon LimKatherine KoprowskiRobert StavinsNhat XuanTrung-Hieu HoangJanice BaekVictoria KindratenkoLiliana KhaertdinovaAlicia Yeun KimMinh DoWilliam P. KingEnrique ValeraRashid Bashir

infectious diseasesvirologyviral diagnosticsdiagnostic devicesrespiratory pathogenspoint-of-care multiplex detectionmicrobiologypoint-of-care testinginfectious diseases (medical specialty)diagnostic testsmedical virologyinfluenzarespiratory virusesvirus research

Smartphone-Based Digitized Neurological Examination Toolbox for Multi-Test Neurological Abnormality Detection and Documentation. IEEE Journal of Biomedical and Health Informatics (2024)

Trung-Hieu HoangChristopher ZallekMinh N. Do

neuroinformaticsneurosciencedigitized neurological examinationdne biomarkersparkinson's diseaseneurodegenerative diseasesphysiological measurementsbiomarkersbiomedical informaticsneuroimagingmedical image computingneurologydigital biomarkersdiagnosisclinical neurologyneurophysiological biomarkersmovement disordersneuroimaging biomarkersneurochemical biomarkersdigital medicine

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Minh N Do

Professor

University of Illinois Urbana-Champaign

Affiliations

The Grainger College of Engineering

Department of Bioengineering

Department of Electrical and Computer Engineering

Minh N Do is currently serving as a Bioengineering Professor at University of Illinois Urbana-Champaign.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Minh N Do

University of Illinois Urbana-Champaign

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Semi-Supervised Learning Framework With Cross-Magnification Attention for Glioma Mitosis Classification. (2025)

Manh Duong NguyenNguyen Dang Huy PhamPhi Le NguyenMinh N. Do

A Survey of Imu Based Cross-Modal Transfer Learning in Human Activity Recognition. arXiv (Cornell University) (2024)

Kamboj, AbhiDo, Minh

C3T: Cross-Modal Transfer Through Time for Human Action Recognition. arXiv (Cornell University) (2024)

Kamboj, AbhiNguyen, Anh DuyDo, Minh

Implement Your Dsp Algorithm on Android Tablet: Real-Time Dsp Laboratory Course. 2021 ASEE Virtual Annual Conference Content Access Proceedings (2024)

Thomas MoonMinh Do

Improving the Robustness of 3D Human Pose Estimation: A Benchmark Dataset and Learning From Noisy Input. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2024)

Trung-Hieu HoangMona ZehniHuy PhanDuc Minh VoMinh N. Do

3d visioncomputer vision3d computer visionnoisy input3d pose estimationrobot learningbenchmark datasetmachine visiondata sciencehuman pose estimationmachine learning

Making Vision Transformers Truly Shift-Equivariant. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024)

Renan A. Rojas–GomezTeck-Yian LimMinh N. DoRaymond A. Yeh

vision recognitionmultimedia modelingcomputer stereo visioncomputer visionvision transformers trulycomputational imagingmachine visionimage representationimage analysisapplied mathematics

MASKDIFF: Modeling Mask Distribution With Diffusion Probabilistic Model for Few-Shot Instance Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence (2024)

Minh-Quan LeTam V. NguyenTrung-Nghia LeThanh-Toan DoMinh N. DoMinh-Triet Tran

Modelling-Based Joint Embedding of Histology and Genomics Using Canonical Correlation Analysis for Breast Cancer Survival Prediction. Artificial Intelligence in Medicine (2024)

Vaishnavi SubramanianTanveer Syeda-MahmoodMinh N. Do

Point-Of-Care Multiplex Detection of Respiratory Viruses. ACS Sensors (2024)

Jongwon LimKatherine KoprowskiRobert StavinsNhat XuanTrung-Hieu HoangJanice BaekVictoria KindratenkoLiliana KhaertdinovaAlicia Yeun KimMinh DoWilliam P. KingEnrique ValeraRashid Bashir

Smartphone-Based Digitized Neurological Examination Toolbox for Multi-Test Neurological Abnormality Detection and Documentation. IEEE Journal of Biomedical and Health Informatics (2024)

Trung-Hieu HoangChristopher ZallekMinh N. Do

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