Faculty

Institution

Unit

Venue

Julian Rosenman

Adjunct Professor Professor Radiation Oncology

University of North Carolina at Chapel Hill

Affiliations

College of Arts and Sciences

Computer Science

Julian Rosenman is currently serving as a College Of Arts And Sciences Adjunct Professor Professor Radiation Oncology at University of North Carolina At Chapel Hill.

Honors

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Experiences

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Education

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Julian Rosenman

University of North Carolina at Chapel Hill

Adjunct Professor Professor Radiation Oncology

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radiation oncology oncology radiation therapy cancer treatment lung cancer radiation thoracic oncology medical imaging radiation biology medicine cancer research cancer care clinical radiation oncology respiratory medicine computer vision cancer management surgery urology optical engineering cancer imaging treatment planning image registration breast cancer 3d imaging surgical oncology otorhinolaryngology survival analysis biomedical imaging 3d computer vision cancer biology 3d reconstruction computed tomography medical technology medicinal research gynecologic oncology oral cancer dosimetry concurrent chemotherapy induction chemotherapy phase ii trial computational imaging image reconstruction neck oncology medical image analysis machine vision breast oncology image enhancement positron emission tomography prognosis radiation application cardiac toxicity combined modality therapy dose-escalation trials conformal radiation therapy cellular therapy gastrointestinal endoscopy medical image computing pharmacotherapy surface reconstruction image segmentation 3d vision treatment development combined modality treatment volume rendering 3d modeling thoracic radiation therapy local failure neoadjuvant therapy advanced breast carcinoma long-term outcome colonoscopic surfaces three-dimensional reconstruction maximum beam separation starting point oral health oral medicine

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Surface-Normal Based Neural Framework for Colonoscopy Reconstruction. Lecture notes in computer science (2023)

Shuxian WangYubo ZhangSarah K. McGillJulian G. RosenmanJan-Michael FrahmSoumyadip SenguptaStephen M. Pizer

colonoscopy reconstructionneuroscienceophthalmologyanatomyhealth sciencesneural framework

CORRECTION: A Deep Image-To-Image Network Organ Segmentation Algorithm for Radiation Treatment Planning: Principles and Evaluation. Radiation Oncology (2022)

Sebastian MarschnerManasi DatarAurélie GaaschZhoubing XuSasa GrbicGuillaume ChabinBernhard GeigerJulian RosenmanStefanie CorradiniMaximilian NiyaziTobias HeimannChristian MöhlerFernando VegaClaus BelkaChristian Thieke

radiation oncologymedical imagingradiation treatment planningdeep learning

Artificial Intelligence Identifies and Quantifies Colonoscopy Blind Spots. Endoscopy (2021)

Sarah K. McGillJulian RosenmanRui WangRuibin MaJan-Michael FrahmStephen Pizer

health sciencesgastrointestinal endoscopyartificial intelligence

COLDE: A Depth Estimation Framework for Colonoscopy Reconstruction. arXiv (Cornell University) (2021)

Yubo ZhangJan-Michael FrahmSamuel EhrensteinSarah K. McGillJulian G. RosenmanShuxian WangStephen M. Pizer

depth estimation frameworkcolonoscopy reconstructionmedical imaginghealth sciencescomputer vision

COLON10K: A Benchmark for Place Recognition in Colonoscopy. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2021)

Ruibin MaSarah K. McGillRui WangJulian RosenmanJan-Michael FrahmYubo ZhangStephen Pizer

computer visionbenchmark datasetsplace recognition

Lighting Enhancement Aids Reconstruction of Colonoscopic Surfaces. Lecture notes in computer science (2021)

Yubo ZhangShuxian WangRuibin MaSarah K. McGillJulian G. RosenmanStephen M. Pizer

pattern recognitionlightingbiomedical imagingengineeringmedical image computingimage reconstructiontechnologycomputer sciencecomputational imagingimage enhancementcolonoscopic surfacesmachine visioncomputer vision

RNNSLAM: Reconstructing the 3D Colon to Visualize Missing Regions During a Colonoscopy. Medical Image Analysis (2021)

Ruibin MaRui WangYubo ZhangStephen PizerSarah K. McGillJulian RosenmanJan-Michael Frahm

pattern recognition3d visionmedical image analysisimage reconstruction3d reconstructionmedical imagingvisualizationimage analysishealth sciences3d imaging

High-Performance Computing is Radiation Cancer Treatment. CRC Press eBooks (2020)

Julian RosenmanTimothy Cullip

radiation oncologyradiation therapyradiation cancer treatmentoncology

Real-Time 3D Reconstruction of Colonoscopic Surfaces for Determining Missing Regions. Lecture notes in computer science (2019)

Ruibin MaRui WangStephen PizerJulian RosenmanSarah K. McGillJan-Michael Frahm

3d computer visionimage reconstructioncomputer science3d reconstructioncolonoscopic surfacessurface reconstructioncomputer vision

Deforming Generalized Cylinders Without Self-Intersection by Means of a Parametric Center Curve. Computational Visual Media (2018)

Ruibin MaQingyu ZhaoRui WangJames DamonJulian RosenmanStephen Pizer

parametric center curvegeneralized cylinderscomputer sciencemachine learningcomputational visualizationdeformationcomputer vision

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Julian Rosenman

Adjunct Professor Professor Radiation Oncology

University of North Carolina at Chapel Hill

Affiliations

College of Arts and Sciences

Computer Science

Julian Rosenman is currently serving as a College Of Arts And Sciences Adjunct Professor Professor Radiation Oncology at University of North Carolina At Chapel Hill.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Julian Rosenman

University of North Carolina at Chapel Hill

Adjunct Professor Professor Radiation Oncology

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Surface-Normal Based Neural Framework for Colonoscopy Reconstruction. Lecture notes in computer science (2023)

Shuxian WangYubo ZhangSarah K. McGillJulian G. RosenmanJan-Michael FrahmSoumyadip SenguptaStephen M. Pizer

colonoscopy reconstructionneuroscienceophthalmologyanatomyhealth sciencesneural framework

CORRECTION: A Deep Image-To-Image Network Organ Segmentation Algorithm for Radiation Treatment Planning: Principles and Evaluation. Radiation Oncology (2022)

radiation oncologymedical imagingradiation treatment planningdeep learning

Artificial Intelligence Identifies and Quantifies Colonoscopy Blind Spots. Endoscopy (2021)

Sarah K. McGillJulian RosenmanRui WangRuibin MaJan-Michael FrahmStephen Pizer

health sciencesgastrointestinal endoscopyartificial intelligence

COLDE: A Depth Estimation Framework for Colonoscopy Reconstruction. arXiv (Cornell University) (2021)

Yubo ZhangJan-Michael FrahmSamuel EhrensteinSarah K. McGillJulian G. RosenmanShuxian WangStephen M. Pizer

depth estimation frameworkcolonoscopy reconstructionmedical imaginghealth sciencescomputer vision

COLON10K: A Benchmark for Place Recognition in Colonoscopy. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2021)

Ruibin MaSarah K. McGillRui WangJulian RosenmanJan-Michael FrahmYubo ZhangStephen Pizer

computer visionbenchmark datasetsplace recognition

Lighting Enhancement Aids Reconstruction of Colonoscopic Surfaces. Lecture notes in computer science (2021)

Yubo ZhangShuxian WangRuibin MaSarah K. McGillJulian G. RosenmanStephen M. Pizer

RNNSLAM: Reconstructing the 3D Colon to Visualize Missing Regions During a Colonoscopy. Medical Image Analysis (2021)

Ruibin MaRui WangYubo ZhangStephen PizerSarah K. McGillJulian RosenmanJan-Michael Frahm

pattern recognition3d visionmedical image analysisimage reconstruction3d reconstructionmedical imagingvisualizationimage analysishealth sciences3d imaging

High-Performance Computing is Radiation Cancer Treatment. CRC Press eBooks (2020)

Julian RosenmanTimothy Cullip

radiation oncologyradiation therapyradiation cancer treatmentoncology

Real-Time 3D Reconstruction of Colonoscopic Surfaces for Determining Missing Regions. Lecture notes in computer science (2019)

Ruibin MaRui WangStephen PizerJulian RosenmanSarah K. McGillJan-Michael Frahm

3d computer visionimage reconstructioncomputer science3d reconstructioncolonoscopic surfacessurface reconstructioncomputer vision

Deforming Generalized Cylinders Without Self-Intersection by Means of a Parametric Center Curve. Computational Visual Media (2018)

Ruibin MaQingyu ZhaoRui WangJames DamonJulian RosenmanStephen Pizer

parametric center curvegeneralized cylinderscomputer sciencemachine learningcomputational visualizationdeformationcomputer vision

1
2
3
4
5
21
10 / page

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Institution

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radiology

biomedical imaging

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