Faculty

Institution

Unit

Venue

Anant Madabhushi

Professor

Georgia Institute of Technology

Affiliations

College of Engineering

Wallace H. Coulter Department of Biomedical Engineering

Anant Madabhushi is currently serving as a College Of Engineering Professor at Georgia Institute of Technology.

Honors

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Experiences

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Education

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Anant Madabhushi

Georgia Institute of Technology

Professor

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medical imaging oncology cancer imaging radiology cancer research medical image analysis health sciences urology image analysis prostate cancer deep learning cancer biology biomedical imaging magnetic resonance imaging pathology cancer care machine learning radiomics medical image computing neuroimaging thoracic oncology cancer treatment medicinal research histopathology respiratory medicine computational imaging optical engineering oncologic imaging computed tomography image segmentation computer-aided diagnosis cancer genomics surgical oncology neuroradiology cancer risk brain tumor research digital pathology computational medicine preliminary findings brain imaging radiomic features scientific computing cancer detection breast oncology overall survival biomedical informatics breast imaging therapeutic imaging abdominal imaging biochemical recurrence prognosis genitourinary cancers 3d imaging image classification tumor-infiltrating lymphocytes clinical pathology disease classification benchmark studies biomedical analysis classification method prostate cancer patients advanced imaging bioimage analysis scientific data radical prostatectomy disease detection data classification multi-site study whole slide images gleason grading prostate cancer detection feasibility study digitized histopathology prostate histology multi-parametric mri multi-institutional study radiation oncology diagnosis artificial intelligence computational intelligence

Notable Scholarly Works

Notable Federal Grants

Collaborators

Supplementary Information From Prostate Cancer Risk Stratification via Nondestructive 3D Pathology With Deep Learning–Assisted Gland Analysis. (2025)

Weisi XieNicholas P. RederCan KoyuncuPatrick LeoSarah HawleyHongyi HuangChenyi MaoNadia PostupnaSoyoung KangRobert SerafinGan GaoQinghua HanKevin W. BishopLindsey A. BarnerPingfu FuJonathan L. WrightC. Dirk KeeneJoshua C. VaughanAndrew JanowczykAdam K. GlaserAnant MadabhushiLawrence D. TrueJonathan T.C. Liu

pathologysupplementary informationdeep learningprostate cancerurology

When Multiple Instance Learning Meets Foundation Models: Advancing Histological Whole Slide Image Analysis. Medical Image Analysis (2025)

Hongming XuMingkang WangDuanbo ShiHuamin QinYunpeng ZhangZaiyi LiuAnant MadabhushiPeng GaoFengyu CongCheng Lu

computer scienceimage sequence analysismedical imagingmultiple instance learningdata scienceimage representationmultiple instanceimage analysispattern recognitionmachine learning

112 Multimodal AI Biomarker Fusing Radiology, Pathology, and Molecular Information for Immune Checkpoint Inhibitor (Ici) Response Prediction in Lung Adenocarcinoma (Luad). Regular and Young Investigator Award Abstracts (2024)

Haojia LiAmogh HiremathSeyoung LeeLiam ChungJeeyeon LeePeter Haseok KimKai ZhangOmid Haji MaghsoudiSalie LeeMonica YadavMaria Jose Aguilera Aguilera ChuchucaTaegyu UmJisang YuTrie Arni DjunadiLeeseul KimYuchan KimIlene HongGrace KangAmy ChoYury S VelichkoLee CooperBehtash NezamiAlexiev BorislavAmit GuptaVamsidhar VelchetiAnant MadabhushiNathaniel BramanYoung Kwang Chae

lung adenocarcinomapathologymultimodal ai biomarkermolecular informationbiomarkersimmune checkpoint inhibitors

1205 AI-Informed Integration of Spatial Architecture of Collagen and Tumor-Infiltrating Lymphocytes From H E Images Predicts Response to Immunotherapy in Head and Neck Squamous Cell Carcinoma Patients. Regular and Young Investigator Award Abstracts (2024)

Germán CorredorReetoja NagPaula ToroTilak PathakKrunal PandavJames LewisJay WasmanTheodoros TeknosQuintin PanQiuying ShiNicole C SchmittScott Steward-TharpNabil F SabaAnant Madabhushi

biostatisticscancer biologycancer immunotherapyimmunologymedical imagingimmunotherapytumor-infiltrating lymphocytescancer imagingcancer researchimmune responsesoncologic imagingai-informed integrationspatial architecturebiomedical imaging

1222P Predicting Pathological Complete Response to Neoadjuvant Chemoimmunotherapy in Resected Nsclc With Radiomic Signatures. Annals of Oncology (2024)

M. KhorramiP.J. MuthaL. DelasosM. Zokaei NikooN.A. PennellA. Madabhushi

pathologyresected nsclcdisease progressionradiomic signaturespathological complete responseneoadjuvant chemoimmunotherapyoncology

167P Tumor-Immune Spatial Interactions on Nsclc H E Slide Images Predicts Immunotherapy Response: Preliminary External Validation. Annals of Oncology (2024)

L.I-Y. ChungH. LiL. KimS. LeeO. Haji MaghsoudiA. HiremathJ. LeeP. Haseok KimS. LeeM. YadavM.J.A. ChuchucaT. UmY. KimI. HongG. KangA. ChoL. CooperA. MadabhushiN. BramanY.K. Chae

predicts immunotherapy responsecancer immunotherapyimmunologyimmunotherapytumor-immune spatial interactionscancer imagingcancer researchoncologic imagingtumor microenvironmentoncology

199P Radiomics Analysis Predicts Chemoimmunotherapy Advantage Over Chemotherapy Alone in Extensive-Stage Small Cell Lung Cancer (Es Sclc). ESMO Open (2024)

M. KhorramiV.S. ViswanathanK. HigginsP. JainA. Madabhushi

radiation oncologyradiomics analysisrespiratory medicinelung cancerradiologycancer researchradiomicses sclcthoracic oncologyhealth sciencesoncologycancer biology

50P Radiomic Features of Both Primary Lung Nodules and Lymph Node Metastases on Chest Ct Associated With Progression-Free Survival in Advanced Non-Small Cell Lung Cancer Patients. ESMO Open (2024)

M. KhorramiV.S. ViswanathanP.J. MuthaA. GuptaV. VelchetiA. Madabhushi

radiomic featuresradiation oncologymedical imagingrespiratory medicinecomputed tomographyprogression-free survivallung cancerradiologycancer imagingcancer researchradiomicsoncologic imaginglymph node metastasesthoracic oncologychest ctprimary lung nodulesoncology

546 AI-Informed Features of the Spatial Architecture of Tumor-Infiltrating Lymphocytes Predict the Benefit of Immune Checkpoint Inhibitors in Urothelial Cancer. Regular and Young Investigator Award Abstracts (2024)

Kamal HammoudaNaoto TokuyamaGermán CorredorTilak PathakOmar MianPaul G PavicicClaudia Diaz-MonteroTuomas MirttiShilpa GuptaAnant Madabhushi

immunologycancer discoveryurothelial cancertumor biologysystem immunologycancer immunotherapycancer researchcancer cellsai-informed featuressystems biologyurologyimmune checkpoint inhibitorstumor microenvironmentcancer biologytumor-infiltrating lymphocytescancer immunosurveillancecancer genomicsoncologyspatial architecture

5Mo Novel Radiologic Phenotypes of Chaotic Tumor Angiogenesis Associated With Poor Ici Outcomes in Nsclc. Immuno-Oncology Technology (2024)

V. VelchetiR. ChitaliaC. LeibowitzK. ZhangA. MadabhushiN. Braman

vascular malformationsstem cell researchvascular biologytumor biologylung cancerradiologycancer researchcancer cellsoncogenesradiation oncologyangiogenesischaotic tumor angiogenesisnovel radiologic phenotypessystems biologyclinical radiation oncologytumor microenvironmentpoor ici outcomescancer imagingcancer growthtumor heterogeneityoncology

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Anant Madabhushi

Professor

Georgia Institute of Technology

Affiliations

College of Engineering

Wallace H. Coulter Department of Biomedical Engineering

Anant Madabhushi is currently serving as a College Of Engineering Professor at Georgia Institute of Technology.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Anant Madabhushi

Georgia Institute of Technology

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Supplementary Information From Prostate Cancer Risk Stratification via Nondestructive 3D Pathology With Deep Learning–Assisted Gland Analysis. (2025)

pathologysupplementary informationdeep learningprostate cancerurology

When Multiple Instance Learning Meets Foundation Models: Advancing Histological Whole Slide Image Analysis. Medical Image Analysis (2025)

Hongming XuMingkang WangDuanbo ShiHuamin QinYunpeng ZhangZaiyi LiuAnant MadabhushiPeng GaoFengyu CongCheng Lu

computer scienceimage sequence analysismedical imagingmultiple instance learningdata scienceimage representationmultiple instanceimage analysispattern recognitionmachine learning

lung adenocarcinomapathologymultimodal ai biomarkermolecular informationbiomarkersimmune checkpoint inhibitors

Germán CorredorReetoja NagPaula ToroTilak PathakKrunal PandavJames LewisJay WasmanTheodoros TeknosQuintin PanQiuying ShiNicole C SchmittScott Steward-TharpNabil F SabaAnant Madabhushi

1222P Predicting Pathological Complete Response to Neoadjuvant Chemoimmunotherapy in Resected Nsclc With Radiomic Signatures. Annals of Oncology (2024)

M. KhorramiP.J. MuthaL. DelasosM. Zokaei NikooN.A. PennellA. Madabhushi

pathologyresected nsclcdisease progressionradiomic signaturespathological complete responseneoadjuvant chemoimmunotherapyoncology

167P Tumor-Immune Spatial Interactions on Nsclc H E Slide Images Predicts Immunotherapy Response: Preliminary External Validation. Annals of Oncology (2024)

L.I-Y. ChungH. LiL. KimS. LeeO. Haji MaghsoudiA. HiremathJ. LeeP. Haseok KimS. LeeM. YadavM.J.A. ChuchucaT. UmY. KimI. HongG. KangA. ChoL. CooperA. MadabhushiN. BramanY.K. Chae

predicts immunotherapy responsecancer immunotherapyimmunologyimmunotherapytumor-immune spatial interactionscancer imagingcancer researchoncologic imagingtumor microenvironmentoncology

199P Radiomics Analysis Predicts Chemoimmunotherapy Advantage Over Chemotherapy Alone in Extensive-Stage Small Cell Lung Cancer (Es Sclc). ESMO Open (2024)

M. KhorramiV.S. ViswanathanK. HigginsP. JainA. Madabhushi

radiation oncologyradiomics analysisrespiratory medicinelung cancerradiologycancer researchradiomicses sclcthoracic oncologyhealth sciencesoncologycancer biology

50P Radiomic Features of Both Primary Lung Nodules and Lymph Node Metastases on Chest Ct Associated With Progression-Free Survival in Advanced Non-Small Cell Lung Cancer Patients. ESMO Open (2024)

M. KhorramiV.S. ViswanathanP.J. MuthaA. GuptaV. VelchetiA. Madabhushi

Kamal HammoudaNaoto TokuyamaGermán CorredorTilak PathakOmar MianPaul G PavicicClaudia Diaz-MonteroTuomas MirttiShilpa GuptaAnant Madabhushi

5Mo Novel Radiologic Phenotypes of Chaotic Tumor Angiogenesis Associated With Poor Ici Outcomes in Nsclc. Immuno-Oncology Technology (2024)

V. VelchetiR. ChitaliaC. LeibowitzK. ZhangA. MadabhushiN. Braman

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biomedical data science

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Thomas Yankeelov

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radiology

advanced imaging

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