research

Some output from Mask-RCNN on spine MRIs.

Books

  1. Apress

Patents

  1. US Patent
    Automated Spine Health Assessment Using Neural Networks.
    Rajapakse Chamith S, and Suri Abhinav.
    Patent App #17/583954. 2022.

Grants

  1. RSNA
    DeepFRAX: A Novel Deep Learning Based Predictor of Future Hip and Major Osteoporotic Fracture Risk.
    (PI) Abhinav Suri, and (Advisor) Chamith S Rajapakse.
    Radiological Society of North America: R&E Foundation Grant. 2023-2024.

Manuscripts/Other Published Works

  1. RYAI
    Privacy, Please: Safeguarding Medical Data in Imaging AI Using Differential Privacy Techniques.
    Suri Abhinav, and Summers Ronald M.
    Radiology: Artificial Intelligence. 2024.
  2. JOR
    Machine learning-based mortality prediction in hip fracture patients using biomarkers.
    Asrian George, Suri Abhinav, and Rajapakse Chamith S.
    Journal of Orthopaedic Research. 2023.
  3. RYAI
    Conquering the Cobb Angle: A Deep Learning Algorithm for Automated, Hardware-Invariant Measurement of Cobb Angle on Radiographs in patients with Scoliosis.
    Suri Abhinav, Tang Sisi, Kargilis Daniel, Taratuta Elena, Kneeland Bruce J, Choi Grace, Agarwal Alisha, Anabaraonye Nancy, Xu Winnie, Parente James B, Terry Ashley, Kalluri Anita, Song Katie, and Rajapakse Chamith S.
    Radiology: Artificial Intelligence. 2023.
  4. CCR
    From Delay to Diagnosis: Chronic Invasive Fungal Rhinosinusitis Presenting with Facial and Orbital Complications.
    Suri Abhinav, Fortes Patricia, Chan Benjamin H, and Sachs Carolyn J.
    Clinical Case Reports. 2023.
  5. JOMI
    Machine Learning and Artificial Intelligence: A Web-Based Model for Clinicians in Predicting Implant Failure and Peri-implantitis.
    Rekawek Peter, Herbst Elliot, Suri Abhinav, Ford Brian, Rajapakse Chamith S, and Panchal Neeraj.
    The International Journal of Oral & Maxillofacial Implants. 2023.
  6. Addiction
    Impacts of the New York State COVID-19 Disaster Emergency Orders on prescription dispensing for opioids and medication for opioid use disorder.
    Suri Abhinav, Feaster Daniel J, Balise Raymond R, Quinn James, Nunes Edward, Gilbert Louisa, El-Bassel Nabila, and Rundle Andrew G.
    Addiction. 2022.
  7. JAMIA
    A Real-Time COVID-19 surveillance dashboard to Support Epidemic Response in Connecticut: Lessons from an Academic-Health Department Partnership.
    Suri Abhinav, Askari Melanie, Calder Jennifer, Branas Charles, and Rundle Andrew.
    Journal of the American Medical Informatics Association. 2022.
  8. RYAI
    Vertebral Deformity Measurements on MRI, CT, and Radiography using Deep Learning.
    Suri Abhinav, Jones Brandon C., Ng Grace, Anabaraonye Nancy, Beyrer Patrick, Domi Albi, Choi Grace, Tang Sisi, Terry Ashley, Leichner Thomas, Fathali Iman, Bastin Nikita, Chesnais Helene, and Rajapakse Chamith S.
    Radiology: Artificial Intelligence. 2021.
  9. Bone
    A deep learning system for automated, multi-modality 2D segmentation of vertebral bodies and intervertebral discs.
    Suri Abhinav, Jones Brandon C., Ng Grace, Anabaraonye Nancy, Beyrer Patrick, Domi Albi, Choi Grace, Tang Sisi, Terry Ashley, Leichner Thomas, Fathali Iman, Bastin Nikita, Chesnais Helene, and Rajapakse Chamith S.
    Bone. 2021.
  10. Discentes
    A Widow in the Halls.
    Suri Abhinav
    Discentes: Classics Journal of the University of Pennsylvania. 2020.
  11. UPenn
    Linkage Disequilibrium based Polygenic Risk Scores as a Predictor of COPD.
    Suri Abhinav, and Moore Jason.
    University of Pennsylvania Department of Biology (Thesis). 2019.
  12. JCBFM
    The effects of perturbed cerebral blood flow and cerebrovascular reactivity on structural MRI and behavioral readouts in mild traumatic brain injury.
    Long Justin A, Watts Lora T, Li Wei, Shen Qiang, Muir Eric R, Huang Shiliang, Boggs Robert C, Suri Abhinav, and Duong Timothy Q.
    Journal of Cerebral Blood Flow & Metabolism. 2015.

Presentations/Abstracts

  1. AANS
    Machine Learning Predicts Cerebral Vasospasm in Subarachnoid Hemorrhage Patients: Multi-Center Validation.
    Zarrin DA, Suri A, McCarthy K, Gaonkar B, Wilson BR, Colby GP, Freundlich RE, Macyszyn L, and Gabel E.
    Oral Presentation at American Association of Neurological Surgeons 2024 Annual Meeting. 2024.
  2. ACR
    Automated Diagnosis and Severity Quantification of Diabetes on Abdominal CT Scans.
    Suri A, Mukherjee P, and Summers RM.
    Poster Presentation at American College of Radiology Annual Meeting 2024. 2024.
  3. SAR
    Prediction of Diabetes Status from Abdominal CT Images.
    Suri A, Mukherjee P, Pickhardt PJ, and Summers RM.
    Oral Presentation at Society of Abdominal Radiology Annual Meeting 2024. 2024.
  4. SPIE
    The pancreas is all you need: Fusion models for opportunistic screening of diabetes using pancreatic CT volumes.
    Suri A, Mukherjee P, Pickhardt PJ, and Summers RM.
    Oral Presentation at SPIE Medical Imaging Annual Meeting 2024. 2024.
  5. ARRS
    DeepMetabolics: An overview of AI methods to assess metabolic syndrome and sequelae on imaging.
    Suri A, Mukherjee P, Pickhardt PJ, and Summers RM.
    Educational Exhibit at American Roentgen Ray Society 2024 Annual Meeting. 2024.
  6. RSNA
    Back to the Future: Automatic Deep Learning Approaches to Opportunistically Assess Spine Health.
    Suri A, and Rajapakse CS.
    Educational Exhibit at Radiological Society of North America 2023 Annual Meeting. 2023.
  7. AANS
    Automated segmentation, volume quantification, and localization of intravertebral spinal tumors using Mask-RCNN networks.
    Suri A, Zarrin D, Cook K, Ratnaparkhi A, Wilson B, Laiwalla A, Beckett J, and Macyszyn L.
    Poster Presentation at American Association of Neurological Surgeons: Annual Meeting. 2023.
  8. AANS
    Machine Learning for Fully Automatic Volumetric Analysis of Syringomyelia.
    Zarrin D, Suri A, Ratnaparkhi A, Wilson B, Laiwalla A, Matiar J, Cook K, Campos J, Beckett J, and Macyszyn L.
    Poster Presentation at American Association of Neurological Surgeons: Annual Meeting. 2023.
  9. AANS
    Machine Learning on Routinely Monitored ICU Data Predicts Debilitating Cerebral Vasospasm following Subarachnoid Hemorrhage in a Large Cohort.
    Zarrin D, Suri A, Gaonkar B, Campos J, Colby G, Macyszyn L, and Gabel E.
    Poster Presentation at American Association of Neurological Surgeons: Annual Meeting. 2023.
  10. SPIE
    Segmentation and identification of fatty infiltration of the erector spinae using deep learning.
    Ratnaparkhi A, Gaonkar B, Laiwalla A, Berdy E, Jafari M, Suri A, Zarrin D, Cook K, Wilson B, Macyszyn L, and Beckett J.
    Oral Presentation and Conference Paper at SPIE Medical Imaging Conference. 2023.
  11. CMIMI
    Conquering the Cobb Angle: Scoliosis Quantification in X-Rays Using Deep Learning.
    Suri A, Tang S, Taratuta S, Kneeland BJ, Choi G, Agarwal A, Anabaraonye N, Xu Winnie, Parente JB, Terry A, Kalluri A, Song K, and Rajapakse CS.
    Oral Presentation at SIIM: Conference on Machine Intelligence in Medical Imaging Annual Meeting. 2022.
  12. ASBMR
    Conquering the Cobb Angle: Scoliosis Quantification in AP-EOS Radiographs using Deep Learning.
    Suri A, Tang S, Taratuta S, Kneeland BJ, Choi G, Agarwal A, Anabaraonye N, Xu Winnie, Parente JB, Terry A, Kalluri A, Song K, and Rajapakse CS.
    Poster Presentation at American Society of Bone and Mineral Research Annual Meeting. 2022.
  13. RSNA
    Conquering the Cobb Angle: Automated Hardware-Invariant Scoliosis Diagnosis in Radiographs using Deep Learning.
    Suri A, Tang S, Kargilis K, Taratuta S, Kneeland BJ, Choi G, Agarwal A, Anabaaraonye N, Xu Winnie, Parente JB, Terry A, Kalluri A, Song K, and Rajapakse CS.
    Oral Presentation at Radiological Society of North America Annual Meeting. 2022.
  14. RSNA
    Deep Learning Landmark Networks In Spine Health Assessment.
    Suri A, Tang S, Taratuta S, Kneeland BJ, Choi G, Agarwal A, Anabaaraonye N, Xu Winnie, Parente JB, Terry A, Kalluri A, Song K, and Rajapakse CS.
    Educational Exhibit at Radiological Society of North America Annual Meeting. 2022.
  15. ESR
    Scoliosis Grading from Radiographs using Artificial Intelligence.
    Suri A, and Rajapakse CS.
    Oral Presentation at European Society of Radiology. 2022.
  16. STR
    Automated Quantification of Cobb Angle from Radiographs using Artificial Intelligence.
    Suri A, and Rajapakse CS.
    Poster Presentation at Society of Thoracic Radiology. 2022.
  17. ORS
    Prediction Of Emergency Room Admissions For Basketball Injuries Using Machine Learning Algorithms.
    Suri A, Tu E, Epsley S, and Rajapakse CS.
    Poster Presentation at Orthopaedic Research Society. 2022.
  18. ORS
    Rapid, Hardware-resilient Automated Cobb Angle Measurement From X-rays Using Artificial Intelligence.
    Suri A, Tang S, Choi G, Anabaraonye N, Xu W, Parente J, Terry A, Kalluri A, Song K, Taratuta E, and Rajapakse CS.
    Podium Presentation at Orthopaedic Research Society. 2022.
  19. ARRS
    Automation of Scoliosis Detection and Cobb Angle Measurement from Radiographs using Artificial Intelligence.
    Suri A, Tang S, Choi G, Anabaraonye N, Xu W, Taratuta E, and Rajapakse CS.
    Oral Presentation at American Roentgen Ray Society Annual Meeting. 2022.
  20. ARRS
    Utilization of Landmark Detection Networks for Musculoskeletal Measurement Tasks.
    Suri A, and Rajapakse CS.
    Educational Exhibit at American Roentgen Ray Society Annual Meeting. 2022.
  21. RSNA
    Deep Learning in Spine Health Assessment.
    Suri A, and Rajapakse CS.
    Educational Exhibit at Radiological Society of North America Annual Meeting. 2021.
  22. DSI
    Producing Real-Time, City Scale COVID-19 Data to Support Epidemic Response in the City of Stamford, CT.
    Rundle A, Suri A, Askari M, and Branas C.
    Presented at Smart Cities Center, Data Science Institute at Columbia University. 2021.
  23. ORS
    Artificial Intelligence for Multi-Modality Vertebral Quality and Fracture Assessment.
    Suri A, Jones B, Ng G, Anabaraonye N, Beyrer P, Choi G, Tang S, Ashley T, Leichner T, Fathali I, Bastin N, Chesnais H, and Rajapakse CS..
    Presented at Orthopaedic Research Society Annual Meeting. 2021.
  24. ARRS
    Artificial Intelligence for Multi-Modality Vertebral Quality and Fracture Assessment.
    Suri A, Tang S, Turner S, Terry A, Hasan E, Chen A, and Rajapakse CS..
    Oral Presentation at American Roentgen Ray Society Annual Meeting. 2021.
  25. ARRS
    Automated Multi-Modality Vertebral Deformity Assessment using Deep Learning.
    Suri A, Ng G, Jones B, Anabaraonye N, Beyrer P, Fathali I, and Rajapakse CS..
    Oral Presentation at American Roentgen Ray Society Annual Meeting. 2021.
  26. ARRS
    Rapid Quantification of Spine Metrics in Multiple Imaging Modalities using Deep Learning..
    Suri A, Kim S, Tu E, Leichner T, Choi G, Bastin N, and Rajapakse CS..
    Oral Presentation at American Roentgen Ray Society Annual Meeting. 2021.
  27. ARRS
    Deep Learning in Spine Health Assessment.
    Suri A, Gupta A, Balasubramanian V, Xu W, Kalluri A, Ma C, and Rajapakse CS.
    Educational Exhibit at American Roentgen Ray Society Annual Meeting. 2021.
  28. ASBMR
    Automated Workflow for Vertebral Deformity Measurements on CT and MRI Scans using Artificial Intelligence.
    Suri Abhinav, Ng Grace, Jones Brandon, Anabaraonye Nancy, Beyrer Patrick, Choi Grace, Bastin Nikita, Leichner Thomas, Kim Sungho, Jankelovits Amanda, and Rajapakse Chamith S.
    Presented at . 2020.
  29. ASBMR
    Rapid Detection of Vertebral Deformities and Lumbar Scoliosis from Spine DXA Scans.
    Suri Abhinav, Tang Sisi, Terry Ashley, Gupta Anjali, Fathali Iman, Ma Charis, Manion Abigail, Kalluri Anita, Xu Winnie, Feng Anna, and Rajapakse Chamith S.
    Presented at . 2020.
  30. PSOM-OSRD
    Automated Assessment of Vertebral and Disc Deformities in Spine MRI and CT Scans Using Artificial Intelligence.
    Suri A, Ng G, Jones B, Beyrer P, and Rajapakse CS..
    Presented at University of Pennsylvania Perelman School of Medicine Orthopaedic Surgery Research Conference. 2020.
  31. ISS
    Fast Extraction of 3D Vertebral Bodies from Clinical CT Images Using Artificial Intelligence.
    Suri A, Beyrer P, Jankelovits A, Golden J, Baoer L, and Rajapakse CS..
    Presented at International Skeletal Society Annual Meeting. 2020.
  32. ISBI
    Automated Instance Segmentation and Keypoint Detection for Spine Imaging Analysis.
    Suri A, Beyrer P, Jankelovits A, Golden J, Baoer L, and Rajapakse CS..
    Presented at International Symposium on Biomedical Imaging Annual Meeting. 2020.
  33. ACR
    Augmented Workflow for Vertebral Deformity Measurements on CT and MRI Scans Using Artificial Intelligence.
    Suri A, Beyrer P, Jankelovits A, Golden J, and Rajapakse CS.
    Presented at American College of Radiology National Annual Meeting. 2020.
  34. ISCD
    Vertebral Morphometric Measurement and Fracture Detection in CT Scans Using Artificial Intelligence.
    Suri A, Beyrer P, Jankelovits A, Golden J, and Rajapakse CS.
    Presented at International Society for Clinical Densitometry Annual Meeting. 2020.
  35. RSNA
    The Cancer Genome Atlas (TCGA) Molecular Classification of Gastric Adenocarcinoma: An Update for Radiologists.
    Parker MD, Suri A, Sunnapwar A, Menia CO, Prasad SR, and Katabathina VS.
    Presented at Radiological Society of North America Annual Meeting. 2017. (Received Cum Laude Award).
  36. RSNA
    Hereditary endocrine tumors: A comprehensive review.
    Vargas P, Suri A, and Katabathina V..
    Presented at Radiological Society of North America Annual Meeting. 2016.
  37. RSNA
    The Devil is in the DNA: A comprehensive review of rare malignancies that warrant genetic testing.
    Katabathina V, Gowri G, and Suri A.
    Presented at Radiological Society of North America Annual Meeting. 2015.

Invited Talks

  1. CVIB
    Machine Learning for Fully Automatic Volumetric Analysis of Syringomyelia.
    Presented at Computer Vision and Imaging Biomarkers Lab, Invited Presentation. 2023.
  2. CVIB
    Automated segmentation, volume quantification, and localization of intravertebral spinal tumors using Mask-RCNN networks.
    Presented at Computer Vision and Imaging Biomarkers Lab, Invited Presentation. 2023.
  3. Penn Med
    Spine Texture Analysis with Artificial Intelligence.
    Presented at Penn Medicine, MSK Research Conference. 2021.
  4. Penn Med
    Spine Deformity Diagnosis with Artificial Intelligence.
    Presented at Penn Medicine, MSK Research Conference. 2020.
  5. VA Med
    Spine Deformity Diagnosis with Artificial Intelligence.
    Presented at Philadelphia VA Medical Center Bone Case Conference. 2020.