Faculty

Institution

Unit

Venue

Robert Nishikawa

Professor

University of Pittsburgh

Affiliations

Medicine

Radiology

Robert Nishikawa is currently serving as a Medicine Professor at University of Pittsburgh.

Honors

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Experiences

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Education

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Robert Nishikawa

University of Pittsburgh

Professor

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medical imaging radiology breast imaging biomedical imaging deep learning breast cancer medical image analysis image analysis cancer imaging medical image computing health sciences computational imaging optical engineering computer-aided diagnosis machine learning computer science computer vision medical technology biomedical engineering clustered microcalcifications diagnostic imaging digital imaging computed tomography digital image processing digital breast tomosynthesis diagnosis cancer detection computer-aided detection digital mammograms radiographic imaging machine vision cancer screening medical biophysics 3d imaging medical physics image classification computerized detection image reconstruction image segmentation early detection advanced imaging benchmark studies digital mammography respiratory medicine health technology biomedical informatics radiomics preliminary study physical medicine scientific computing diagnostic systems biomedical modeling abdominal imaging automatic classification disease detection breast cancer diagnosis microcalcification clusters breast lesions laboratory medicine cancer care image retrieval state estimation computerized mass detection false positives surgical oncology human-computer interaction bayesian analysis classification method content-based image retrieval biomedical technologies microrna detection cancer treatment breast tomosynthesis automatic detection artificial neural networks wavelet transform

Notable Scholarly Works

Notable Federal Grants

Collaborators

Abstract Po1-07-09: Benefit of Adherence to Annual Mammography Screening: Results From 8,305 Cancers in an Institutional Database. Cancer Research (2024)

Robert NishikawaAndriy BandosStephen DuffyDurwin LogueMargarita Zuley

public healthinstitutional databasecancer screeningradiologycancer researchbreast imagingoncologybreast cancer

Adaptive Thresholding Technique for Segmenting Breast Dense Tissue in Digital Breast Tomosynthesis: A Preliminary Study. (2024)

Tamerlan MustafaevRobert M. NishikawaJuhun Lee

medical image analysisbiomedical imagingbreast dense tissuebenchmark studiesbiological imagingdigital breast tomosynthesisradiologymicroscopymedical imagingcomputed tomographyadaptive thresholding techniqueimage analysismedical image computingimage segmentationpreliminary studycomputational imagingcancer imagingbiomedical engineeringdigital image processingbreast imagingmaterials science

Breast Cancer Screening Interval: Effect on Rate of Late-Stage Disease at Diagnosis and Overall Survival. Journal of Clinical Oncology (2024)

Margarita L. ZuleyAndriy I. BandosStephen W. DuffyDurwin LogueRohit BhargavaPriscilla F. McAuliffeAdam M. BrufskyRobert M. Nishikawa

breast oncologygynecologic oncologyepidemiologysurgical oncologycancer discoverybreast cancerprognosiscancer screeningcancer researchcancer detectionoverall survivalmolecular diagnosticscancer carebiostatisticsprognostic evaluationclinical epidemiologygynecologylate-stage diseasesurvival analysisoncology

Breast Lesion Detection Scheme for Low Gadolinium Dose Dce-Mri Using Radon Cumulative Distribution Transform and Domain Transfer: Preliminary Results. Medical Imaging 2018: Computer-Aided Diagnosis (2024)

Juhun LeeFederico PinedaGregory S. KarczmarRobert M. NishikawaHiroyuki Abe

neurologyradiation oncologymedical imagingmagnetic resonance imaginglow gadolinium dosebiomedical imagingradiologycancer imagingmedical image analysisdomain transferneuroimagingbreast imagingbreast cancer

Developing an Image-Domain Transformation Technique for Adapting Deep Learning Algorithms: Preliminary Work Using Simulated Tomosynthesis of Breast Patches. Medical Imaging 2018: Computer-Aided Diagnosis (2024)

Md Belayat HossainBruno BarufaldiAndrew D. A. MaidmentRobert M. NishikawaJuhun Lee

image-domain transformation techniquecomputer sciencedeep learningdeep learning algorithmspreliminary worksimulated tomosynthesisbreast patchesmachine learning

Developing Classification and Segmentation Algorithms for Gan-Generated Mammographic Artifacts Based on Radiologist Annotation. (2024)

Tamerlan MustafaevRobert NishikawaJuhun Lee

medical image computingimage segmentationdeep learningradiologist annotationgan-generated mammographic artifactsmedical imagingbiomedical imagingradiologycomputational imagingmedical image analysisdigital image processingsegmentation algorithmsimage classificationbreast imagingimage analysismachine learning

Differences in Longitudinal Changes of Mammographic Breast Percent Density Among Normal, Benign, and Cancer Patients: A Preliminary Study. (2024)

Juhun LeeMargarita ZuleyRobert M. Nishikawa

biostatisticselastographycancer carecohort studiespreliminary studymeasurementmedical imagingmammary glandlongitudinal changesdemographyradiologycancer imagingcancer patientsbreast imagingsurvival analysishealth sciencesbreast cancerbaseline correction

Further Adventures in AI-Directed Double Reading (Aid-Dr) for Single Reading Environments. (2024)

Robert M. NishikawaAmy H. LuJeffrey W. Hoffmeister

artificial intelligencesingle reading environmentsai-directed double reading

Improving Lesion Detection in Mammograms by Leveraging a Cycle-Gan-Based Lesion Remover. Breast Cancer Research (2024)

Juhun LeeRobert M. Nishikawa

deep learningmedical imagingradiologycancer imaginglesion detectionbreast imagingcycle-gan-based lesion removerbreast cancer

Organizational Breast Cancer Data Mart: A Solution for Assessing Outcomes of Imaging and Treatment. JCO Clinical Cancer Informatics (2024)

Margarita L. ZuleyJonathan SilversteinDurwin LogueRichard S. MorganRohit BhargavaPriscilla F. McAuliffeAdam M. BrufskyAndriy I. BandosRobert M. Nishikawa

public healthepidemiologyhealth informaticsbiomedical informaticsmedical imagingresearch data managementoutcomes researchcancer imagingdata scienceclinical datadata managementbreast cancer

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Robert Nishikawa

Professor

University of Pittsburgh

Affiliations

Medicine

Radiology

Robert Nishikawa is currently serving as a Medicine Professor at University of Pittsburgh.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Robert Nishikawa

University of Pittsburgh

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Abstract Po1-07-09: Benefit of Adherence to Annual Mammography Screening: Results From 8,305 Cancers in an Institutional Database. Cancer Research (2024)

Robert NishikawaAndriy BandosStephen DuffyDurwin LogueMargarita Zuley

public healthinstitutional databasecancer screeningradiologycancer researchbreast imagingoncologybreast cancer

Adaptive Thresholding Technique for Segmenting Breast Dense Tissue in Digital Breast Tomosynthesis: A Preliminary Study. (2024)

Tamerlan MustafaevRobert M. NishikawaJuhun Lee

Breast Cancer Screening Interval: Effect on Rate of Late-Stage Disease at Diagnosis and Overall Survival. Journal of Clinical Oncology (2024)

Margarita L. ZuleyAndriy I. BandosStephen W. DuffyDurwin LogueRohit BhargavaPriscilla F. McAuliffeAdam M. BrufskyRobert M. Nishikawa

Juhun LeeFederico PinedaGregory S. KarczmarRobert M. NishikawaHiroyuki Abe

Md Belayat HossainBruno BarufaldiAndrew D. A. MaidmentRobert M. NishikawaJuhun Lee

image-domain transformation techniquecomputer sciencedeep learningdeep learning algorithmspreliminary worksimulated tomosynthesisbreast patchesmachine learning

Developing Classification and Segmentation Algorithms for Gan-Generated Mammographic Artifacts Based on Radiologist Annotation. (2024)

Tamerlan MustafaevRobert NishikawaJuhun Lee

Differences in Longitudinal Changes of Mammographic Breast Percent Density Among Normal, Benign, and Cancer Patients: A Preliminary Study. (2024)

Juhun LeeMargarita ZuleyRobert M. Nishikawa

Further Adventures in AI-Directed Double Reading (Aid-Dr) for Single Reading Environments. (2024)

Robert M. NishikawaAmy H. LuJeffrey W. Hoffmeister

artificial intelligencesingle reading environmentsai-directed double reading

Improving Lesion Detection in Mammograms by Leveraging a Cycle-Gan-Based Lesion Remover. Breast Cancer Research (2024)

Juhun LeeRobert M. Nishikawa

deep learningmedical imagingradiologycancer imaginglesion detectionbreast imagingcycle-gan-based lesion removerbreast cancer

Organizational Breast Cancer Data Mart: A Solution for Assessing Outcomes of Imaging and Treatment. JCO Clinical Cancer Informatics (2024)

Margarita L. ZuleyJonathan SilversteinDurwin LogueRichard S. MorganRohit BhargavaPriscilla F. McAuliffeAdam M. BrufskyAndriy I. BandosRobert M. Nishikawa

public healthepidemiologyhealth informaticsbiomedical informaticsmedical imagingresearch data managementoutcomes researchcancer imagingdata scienceclinical datadata managementbreast cancer

1
2
3
4
5
28
10 / page

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