Faculty

Institution

Unit

Venue

Minh N Do

Professor

UIUC

Affiliations

The Grainger College of Engineering

Bioengineering

Department of Bioengineering

Department of Electrical and Computer Engineering

Electrical & Computer Engineering

Minh N Do is currently serving as a Bioengineering Professor at Uiuc.

Honors

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Experiences

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Education

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Minh N Do

UIUC

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 filter banks directional filter bank plenoptic function contourlet expansion semantic image inpainting wavelet coefficients weighted mode texture image texture images biomedical computing health technology technology medical imaging digital 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

glioma mitosis classificationbiomedical informaticsgliomassemi-supervised learningbrain tumor researchsemi-supervised learning frameworkcross-magnification attentiondigital pathologymedical image computingpattern recognitionimage analysisdata scienceneuro-oncologymachine learning researchmedical image analysismachine learningneuroscience

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

Kamboj, AbhiDo, Minh

activity recognitionkinesiologycross-modality learningmulti-task learningartificial intelligencemultimedia information processingrobot learningmachine learning researchcross-modality transfer learningdata sciencemultimodal learningtransfer learningmachine learninginformation fusion

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

Kamboj, AbhiNguyen, Anh DuyDo, Minh

machine learningmodality adaptationcross-modal transfercomputer visionmultimedia information processingmultimodal signal processingmachine visionpattern recognitionmachine learning researchdata sciencemultimedia modelingimage representationmultimodal learningcomputer sciencetest modalityinformation fusion

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

Thomas MoonMinh Do

embedded systemsmobile computingmobile signal processingreal-time computingcomputer engineeringcomputing educationreal-time applicationcomputer architecturedsp algorithmspectral analysisdigital signal processingreal-time techniquesignal processingdsp applicationscomputer science

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

human pose estimationnoisy inputcomputer visionbenchmark dataset3d computer visionrobot learningmachine visiondata science3d pose estimationmachine learning3d vision

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

computational imagingmultimedia modelingcomputer visioncomputer stereo visionvision recognitionmachine visionimage analysisapplied mathematicsimage representationvision transformers truly

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

multiple instance learningscene analysiscomputer visionmachine visionmachine learning researchimage analysisdata sciencemask distributionfew-shot learningfew-shot instance segmentationmachine learningdiffusion probabilistic modelobject detectioncomputer science

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

survival predictiondata-driven predictionbiomedical informaticsbiomedical data sciencecancer researchcancer histologysurvival analysisdifferent modalitiesstatistical inferencebiostatisticsbreast cancerstatisticsmachine learning researchdata sciencemachine learning

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

virus researchrespiratory virusesdiagnostic testsmedical virologypoint-of-care testingvirologydiagnostic devicespoint-of-care multiplex detectioninfectious diseasesinfluenzarespiratory pathogensmicrobiologyinfectious diseases (medical specialty)viral diagnostics

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

digitized neurological examinationdigital medicineneurochemical biomarkersneurologyneuroimagingparkinson's diseaseneurodegenerative diseasesbiomarkersdiagnosismovement disordersmedical image computingphysiological measurementsdne biomarkersneurophysiological biomarkersdigital biomarkersbiomedical informaticsneuroimaging biomarkersneuroinformaticsclinical neurologyneuroscience

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Minh N Do

Professor

UIUC

Affiliations

The Grainger College of Engineering

Bioengineering

Department of Bioengineering

Department of Electrical and Computer Engineering

Electrical & Computer Engineering

Minh N Do is currently serving as a Bioengineering Professor at Uiuc.

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

UIUC

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

human pose estimationnoisy inputcomputer visionbenchmark dataset3d computer visionrobot learningmachine visiondata science3d pose estimationmachine learning3d vision

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

computational imagingmultimedia modelingcomputer visioncomputer stereo visionvision recognitionmachine visionimage analysisapplied mathematicsimage representationvision transformers truly

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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2
3
4
5
30
10 / page