Faculty

Institution

Unit

Venue

Satish E. Viswanath

Associate Professor

Case Western Reserve University

Affiliations

School of Medicine

Biomedical Engineering

Case School of Engineering

Biomedical Engineering

Satish E. Viswanath is currently serving as a Biomedical Engineering Associate Professor at Case Western Reserve University.

Honors

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Experiences

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Education

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Satish E. Viswanath

Case Western Reserve University

Associate Professor

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medical imaging magnetic resonance imaging radiology medical image analysis urology radiomics health sciences cancer imaging neuroimaging prostate cancer oncology biomedical imaging image analysis deep learning neurology cancer research cancer biology machine learning medical image computing respiratory medicine digestive diseases neuroradiology optical engineering computed tomography cancer care surgical oncology image segmentation colorectal cancer abdominal imaging radiomic features scientific computing computational imaging brain imaging cancer treatment classification method disease classification computer-aided diagnosis radiation therapy ct scan magnetic resonance therapeutic imaging image classification pet-mri benchmark studies positron emission tomography texture analysis open-source tool rectal cancer cancer detection advanced imaging data fusion optical information processing laser ablation data classification image registration genitourinary cancers central gland preliminary findings empirical evaluation multi-parametric mri laboratory medicine image representation plo biology thoracic oncology scientific data treatment planning multi-scale studies tesla endorectal prostate cancer patients active surveillance proof-of-concept study renal cell carcinoma early treatment response radiomics analysis computational framework primary rectal cancers diagnosis artificial intelligence digital pathology pathology

Notable Scholarly Works

Notable Federal Grants

Collaborators

Abstract 2344: Federated Image Quality Assessment of Prostate Mri Scans in a Multi-Institutional Setting. Cancer Research (2024)

Mohsen HaririPrathyush ChirraMalhar PatelTal Tiano EinatIttai DayanAlex TonettiYuval BarorTristan BarrettNikita SushentsevJoshua D. KaggieShuaiyu YuanDufan WuBaihui YuZhiliang LyuCheyu HsuWeichung WangSmitha KrishnamurthiSatish E. Viswanath

urologyimage quality assessmentmagnetic resonance imagingcancer imagingcancer researchoncologycancer biologymulti-institutional settingmedical imagingradiologyhealth sciencesprostate cancerbreast cancerprostate mri scans

Abstract 2582: Intra- and Peri-Tumoral Radiomic Features Are Predictive of Pathologic Response to Multiple Neoadjuvant Therapy Regimen in Rectal Cancers via Pre-Treatment Mri. Cancer Research (2024)

Leo BaoThomas DeSilvioBenjamin N. ParkerMohsen HaririPrathyush ChirraMurad LabbadStephen TangGregory M. O'ConnorEmily SteinhagenJennifer L. Miller-OcuinAmit GuptaEric L. MardersteinAaron CarrollMarka CrittendenMichael J. GoughSmitha KrishnamurthiKristina H. YoungSatish E. Viswanath

radiation therapycancer biologypathologic responseperi-tumoral radiomic featuresradiationneuroradiologycolorectal cancercancer researchoncologycancer carecancer treatmentrectal cancersradiomicsradiation oncologyradiologyhealth sciencesneoadjuvant therapy regimenmedicinal researchpre-treatment mrisurgical oncologycancer imagingclinical researchmedical imaging

Abstract 7379: Deep Learning Based Risk Stratification of Pre-Operative Ct Scans is Prognostic of Overall Survival in Kidney Cancers. Cancer Research (2024)

Brennan FlanneryMohsen HaririThomas DeSilvioAmir SadriJane NguyenErick M. RemerSmitha KrishnamurthiSatish E. Viswanath

cancer biologyurologyrisk stratificationoncologycancer researchprognosisoverall survivalcancer carecancer riskcomputed tomographygenitourinary cancersradiologysurvival analysishealth sciencespre-operative ct scanssurgical oncologycancer imagingmedical imagingdeep learning

Abstract 7386: Multi-Plane Rectal Tumor Segmentation on Pre-Treatment Mri via Human-In-The-Loop Deep Learning. Cancer Research (2024)

Michael KongThomas DeSilvioLeo BaoBrennan FlanneryBenjamin N. ParkerStephen TangGregory O'ConnorAmit GuptaEmily SteinhagenAndrei S. PuryskoEric L. MardersteinAaron CarrollMarka CrittendenMichael GoughKristina YoungSatish E. Viswanath

magnetic resonance imagingcancer imagingcancer researchradiation oncologyoncologycancer biologyhuman-in-the-loop deep learningpre-treatment mrimedical imagingdeep learning

Characterization of Renal Masses With Mri-Based Radiomics: Assessment of Inter-Package and Inter-Observer Reproducibility in a Prospective Pilot Study. Abdominal Radiology (2024)

Haitham Al-MubarakOctavia BaneNicolas GillinghamChristopher KyriakakosGhadi AbboudJordan CuevasJanette GonzalezKirolos MeilikaAmir HorowitzHsin-Hui Vivien HuangJorge DazaValentin FauveauKetan BadaniSatish E ViswanathBachir TaouliSara Lewis

urologymagnetic resonance imagingrenal massesradiomicsmedical image analysisprospective pilot studyinter-observer reproducibilitymedical imagingradiologyneurologyneuroimagingmri-based radiomicsabdominal imaging

Clonal Parabacteroides From Gut Microfistulous Tracts as Transmissible Cytotoxic Succinate-Commensal Model of Crohn’s Disease Complications. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Vaidhvi SinghGail WestClaudio FiocchiCaryn E. GoodJeffry KatzMichael R JacobsArmand Earl Ko DichosaChris FlaskMathew WesolowskiCassidy McCollBrandon GrubbSadia AhmedNicholas C. BankKavitha ThammaIlya BedermanBernadette ErokwuXinlin YangMark S. SundrudPaola MenghiniAbigail Raffner BassonJessica EzejiSatish E ViswanathAlida VelooDavid B. SykesFabio CominelliAlex Rodriguez-Palacios

microbiologygeneticsinflammatory bowel diseasegastroenterologydigestive diseasesgut microfistulous tractsimmunologytoxicology

COHORTFINDER: An Open-Source Tool for Data-Driven Partitioning of Digital Pathology and Imaging Cohorts to Yield Robust Machine-Learning Models. npj Imaging (2024)

Fan FanGeorgia MartinezThomas DeSilvioJohn ShinYijiang ChenJackson JacobsBangchen WangTakaya OzekiMaxime W. LafargeViktor H. KoelzerLaura BarisoniAnant MadabhushiSatish E. ViswanathAndrew Janowczyk

medical image analysisdata-driven partitioningbioinformaticsmachine learningdata sciencemedical imagingimage analysisdigital pathologyhealth sciencesdeep learningopen-source tool

Developing a Reproducible Radiomics Model for Diagnosis of Active Crohn’s Disease on Ct Enterography Across Annotation Variations and Acquisition Differences. Deleted Journal (2024)

Prathyush V. ChirraPavithran GiriprakashAlain G. RizkJacob A. KurowskiSatish E. ViswanathNamita S. Gandhi

diagnosisradiomicsannotation variationsradiologyreproducible radiomics modelct enterographyacquisition differences

Evaluating the Change in 18F-Fluorodeoxyglucose Uptake in Perianal Fistulas on Pet/Ct Over Time: A Serial Retrospective Analysis. Academic Radiology (2024)

Favour GarubaAravinda GanapathyKatherine HuangGrace BishopHanjing ZhangAddie LovatoMalak ItaniSatish E ViswanathTyler J FraumParakkal DeepakDavid H Ballard

urologyneuroradiologyperianal fistulasct scanpharmacologyrespiratory medicinepositron emission tomographyradiologypet-mriserial retrospective analysismedical imagingcomputed tomographyabdominal imaging

Evaluating the Relationship Between Magnetic Resonance Image Quality Metrics and Deep Learning‐Based Segmentation Accuracy of Brain Tumors. Medical Physics (2024)

Rajarajeswari MuthusivarajanAdrian CelayaJoshua P. YungJames P. LongSatish E. ViswanathDaniel S. MarcusCaroline ChungDavid Fuentes

cancer imagingmedical technologyradiation oncologycancer biologybrain tumorsbrain tumor researchradiologymedical biophysicsneurologyneuroimagingmedical imagingimage segmentationdeep learning

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Satish E. Viswanath

Associate Professor

Case Western Reserve University

Affiliations

School of Medicine

Biomedical Engineering

Case School of Engineering

Biomedical Engineering

Satish E. Viswanath is currently serving as a Biomedical Engineering Associate Professor at Case Western Reserve University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Satish E. Viswanath

Case Western Reserve University

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Abstract 2344: Federated Image Quality Assessment of Prostate Mri Scans in a Multi-Institutional Setting. Cancer Research (2024)

Abstract 7379: Deep Learning Based Risk Stratification of Pre-Operative Ct Scans is Prognostic of Overall Survival in Kidney Cancers. Cancer Research (2024)

Brennan FlanneryMohsen HaririThomas DeSilvioAmir SadriJane NguyenErick M. RemerSmitha KrishnamurthiSatish E. Viswanath

Abstract 7386: Multi-Plane Rectal Tumor Segmentation on Pre-Treatment Mri via Human-In-The-Loop Deep Learning. Cancer Research (2024)

magnetic resonance imagingcancer imagingcancer researchradiation oncologyoncologycancer biologyhuman-in-the-loop deep learningpre-treatment mrimedical imagingdeep learning

Characterization of Renal Masses With Mri-Based Radiomics: Assessment of Inter-Package and Inter-Observer Reproducibility in a Prospective Pilot Study. Abdominal Radiology (2024)

Clonal Parabacteroides From Gut Microfistulous Tracts as Transmissible Cytotoxic Succinate-Commensal Model of Crohn’s Disease Complications. bioRxiv (Cold Spring Harbor Laboratory) (2024)

microbiologygeneticsinflammatory bowel diseasegastroenterologydigestive diseasesgut microfistulous tractsimmunologytoxicology

COHORTFINDER: An Open-Source Tool for Data-Driven Partitioning of Digital Pathology and Imaging Cohorts to Yield Robust Machine-Learning Models. npj Imaging (2024)

Fan FanGeorgia MartinezThomas DeSilvioJohn ShinYijiang ChenJackson JacobsBangchen WangTakaya OzekiMaxime W. LafargeViktor H. KoelzerLaura BarisoniAnant MadabhushiSatish E. ViswanathAndrew Janowczyk

medical image analysisdata-driven partitioningbioinformaticsmachine learningdata sciencemedical imagingimage analysisdigital pathologyhealth sciencesdeep learningopen-source tool

Developing a Reproducible Radiomics Model for Diagnosis of Active Crohn’s Disease on Ct Enterography Across Annotation Variations and Acquisition Differences. Deleted Journal (2024)

Prathyush V. ChirraPavithran GiriprakashAlain G. RizkJacob A. KurowskiSatish E. ViswanathNamita S. Gandhi

diagnosisradiomicsannotation variationsradiologyreproducible radiomics modelct enterographyacquisition differences

Evaluating the Change in 18F-Fluorodeoxyglucose Uptake in Perianal Fistulas on Pet/Ct Over Time: A Serial Retrospective Analysis. Academic Radiology (2024)

Favour GarubaAravinda GanapathyKatherine HuangGrace BishopHanjing ZhangAddie LovatoMalak ItaniSatish E ViswanathTyler J FraumParakkal DeepakDavid H Ballard

Evaluating the Relationship Between Magnetic Resonance Image Quality Metrics and Deep Learning‐Based Segmentation Accuracy of Brain Tumors. Medical Physics (2024)

Rajarajeswari MuthusivarajanAdrian CelayaJoshua P. YungJames P. LongSatish E. ViswanathDaniel S. MarcusCaroline ChungDavid Fuentes

cancer imagingmedical technologyradiation oncologycancer biologybrain tumorsbrain tumor researchradiologymedical biophysicsneurologyneuroimagingmedical imagingimage segmentationdeep learning

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