Neuroradiology/Interventional

Research output

Research output per year 1982 1994 2000 2003 2008 2009 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2024

• 616 Article
• 77 Review article
• 21 Conference contribution
• 21 Comment/debate
• 36 More
  • 16 Letter
  • 11 Chapter
  • 6 Editorial
  • 2 Short survey
  • 1 Conference article

Research output per year

Research output per year

Search results

• 2024

  Clinical and Imaging Findings in Children with Myelin Oligodendrocyte Glycoprotein Antibody Associated Disease (MOGAD): From Presentation to Relapse

  George, E., Russ, J. B., Validrighi, A., Early, H., Mamlouk, M. D., Glenn, O. A., Francisco, C. M., Waubant, E., Lindan, C. & Li, Y., Feb 7 2024, In: AJNR. American journal of neuroradiology. 45, 2, p. 229-235 7 p.

  Research output: Contribution to journal › Article › peer-review

  • Myelin-Oligodendrocyte Glycoprotein 100%
  • Recurrence 39%
  • Antibodies 38%
  • Child 30%
  • Optic Neuritis 29%

• Diffusion-weighted imaging of the orbit

  Tejani, A. S., Berson, E., Phillip, J., Feltrin, F. S., Bazan, C., Raj, K. M., Agarwal, A. K., Maldjian, J. A., Lee, W. C. & Yu, F. F., Jan 2024, In: Clinical Radiology. 79, 1, p. 10-18 9 p.

  Research output: Contribution to journal › Review article › peer-review

  • Orbit 100%
  • Pathology 28%
  • Magnetic Resonance Imaging 20%
  • Diffusion Magnetic Resonance Imaging 17%

• Expert-centered Evaluation of Deep Learning Algorithms for Brain Tumor Segmentation

  Hoebel, K. V., Bridge, C. P., Ahmed, S., Akintola, O., Chung, C., Huang, R. Y., Johnson, J. M., Kim, A., Ly, K. I., Chang, K., Patel, J., Pinho, M., Batchelor, T. T., Rosen, B. R., Gerstner, E. R. & Kalpathy-Cramer, J., 2024, In: Radiology: Artificial Intelligence. 6, 1, e220231.

  Research output: Contribution to journal › Article › peer-review

  • Deep Learning 100%
  • Tumors 74%
  • Brain Neoplasms 67%
  • Deep learning 64%
  • Learning algorithms 60%

• First High Intensity Focused Ultrasound Thalamotomy in a Patient with Cerebral Aneurysms

  Feltrin, F. S., White, A., O'Suilleabhain, P., Mckenzie, L., Pride, L. & Shah, B. R., Apr 2024, In: Movement Disorders Clinical Practice. 11, 4, p. 444-446 3 p.

  Research output: Contribution to journal › Letter › peer-review

  Open Access

• Magnetoencephalography (MEG) Data Processing in Epilepsy Patients with Implanted Responsive Neurostimulation (RNS) Devices

  Askari, P., Cardoso da Fonseca, N., Pruitt, T., Maldjian, J. A., Alick-Lindstrom, S. & Davenport, E. M., Feb 2024, In: Brain Sciences. 14, 2, 173.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Magnetoencephalography 100%
  • Epilepsy 65%
  • Equipment and Supplies 46%
  • Signal-To-Noise Ratio 22%
  • Boidae 13%

• Synthesizing Contrast-Enhanced MR Images from Noncontrast MR Images Using Deep Learning

  Murugesan, G., Yu, F. F., Achilleos, M., DeBevits, J., Nalawade, S., Ganesh, C., Wagner, B., Madhuranthakam, A. J. & Maldjian, J. A., Mar 1 2024, In: American Journal of Neuroradiology. 45, 3, p. 312-319 8 p.

  Research output: Contribution to journal › Article › peer-review

  • Deep Learning 100%
  • Brain Neoplasms 54%
  • Gadolinium 47%
  • Datasets 23%
  • Image Enhancement 20%
• 2023

  A rare case of left atrial myxofibromyosarcoma

  Srivastava, P., Feltrin, F. & Kukkar, V., Mar 2023, In: Radiology Case Reports. 18, 3, p. 771-774 4 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Malignant Fibrous Histiocytoma 100%
  • Heart Neoplasms 91%
  • Renal Cell Carcinoma 72%
  • Sarcoma 71%
  • Thrombosis 58%

• ATP line splitting in association with reduced intracellular magnesium and pH: a brain ³¹P MR spectroscopic imaging (MRSI) study of pediatric patients with myelin oligodendrocyte glycoprotein antibody-associated disorders (MOGADs)

  Ren, J., Yu, F. & Greenberg, B. M., Feb 2023, In: NMR in biomedicine. 36, 2, e4836.

  Research output: Contribution to journal › Article › peer-review

  • Myelin-Oligodendrocyte Glycoprotein 100%
  • Magnesium 69%
  • Glycoprotein 63%
  • Disorder 59%
  • Magnesium Atom 57%
  2 Scopus citations

• Author Correction: Federated learning enables big data for rare cancer boundary detection (Nature Communications, (2022), 13, 1, (7346), 10.1038/s41467-022-33407-5)

  Pati, S., Baid, U., Edwards, B., Sheller, M., Wang, S. H., Reina, G. A., Foley, P., Gruzdev, A., Karkada, D., Davatzikos, C., Sako, C., Ghodasara, S., Bilello, M., Mohan, S., Vollmuth, P., Brugnara, G., Preetha, C. J., Sahm, F., Maier-Hein, K., Zenk, M., & 259 othersBendszus, M., Wick, W., Calabrese, E., Rudie, J., Villanueva-Meyer, J., Cha, S., Ingalhalikar, M., Jadhav, M., Pandey, U., Saini, J., Garrett, J., Larson, M., Jeraj, R., Currie, S., Frood, R., Fatania, K., Huang, R. Y., Chang, K., Balaña, C., Capellades, J., Puig, J., Trenkler, J., Pichler, J., Necker, G., Haunschmidt, A., Meckel, S., Shukla, G., Liem, S., Alexander, G. S., Lombardo, J., Palmer, J. D., Flanders, A. E., Dicker, A. P., Sair, H. I., Jones, C. K., Venkataraman, A., Jiang, M., So, T. Y., Chen, C., Heng, P. A., Dou, Q., Kozubek, M., Lux, F., Michálek, J., Matula, P., Keřkovský, M., Kopřivová, T., Dostál, M., Vybíhal, V., Vogelbaum, M. A., Mitchell, J. R., Farinhas, J., Maldjian, J. A., Yogananda, C. G. B., Pinho, M. C., Reddy, D., Holcomb, J., Wagner, B. C., Ellingson, B. M., Cloughesy, T. F., Raymond, C., Oughourlian, T., Hagiwara, A., Wang, C., To, M. S., Bhardwaj, S., Chong, C., Agzarian, M., Falcão, A. X., Martins, S. B., Teixeira, B. C. A., Sprenger, F., Menotti, D., Lucio, D. R., LaMontagne, P., Marcus, D., Wiestler, B., Kofler, F., Ezhov, I., Metz, M., Jain, R., Lee, M., Lui, Y. W., McKinley, R., Slotboom, J., Radojewski, P., Meier, R., Wiest, R., Murcia, D., Fu, E., Haas, R., Thompson, J., Ormond, D. R., Badve, C., Sloan, A. E., Vadmal, V., Waite, K., Colen, R. R., Pei, L., Ak, M., Srinivasan, A., Bapuraj, J. R., Rao, A., Wang, N., Yoshiaki, O., Moritani, T., Turk, S., Lee, J., Prabhudesai, S., Morón, F., Mandel, J., Kamnitsas, K., Glocker, B., Dixon, L. V. M., Williams, M., Zampakis, P., Panagiotopoulos, V., Tsiganos, P., Alexiou, S., Haliassos, I., Zacharaki, E. I., Moustakas, K., Kalogeropoulou, C., Kardamakis, D. M., Choi, Y. S., Lee, S. K., Chang, J. H., Ahn, S. S., Luo, B., Poisson, L., Wen, N., Tiwari, P., Verma, R., Bareja, R., Yadav, I., Chen, J., Kumar, N., Smits, M., van der Voort, S. R., Alafandi, A., Incekara, F., Wijnenga, M. M. J., Kapsas, G., Gahrmann, R., Schouten, J. W., Dubbink, H. J., Vincent, A. J. P. E., van den Bent, M. J., French, P. J., Klein, S., Yuan, Y., Sharma, S., Tseng, T. C., Adabi, S., Niclou, S. P., Keunen, O., Hau, A. C., Vallières, M., Fortin, D., Lepage, M., Landman, B., Ramadass, K., Xu, K., Chotai, S., Chambless, L. B., Mistry, A., Thompson, R. C., Gusev, Y., Bhuvaneshwar, K., Sayah, A., Bencheqroun, C., Belouali, A., Madhavan, S., Booth, T. C., Chelliah, A., Modat, M., Shuaib, H., Dragos, C., Abayazeed, A., Kolodziej, K., Hill, M., Abbassy, A., Gamal, S., Mekhaimar, M., Qayati, M., Reyes, M., Park, J. E., Yun, J., Kim, H. S., Mahajan, A., Muzi, M., Benson, S., Beets-Tan, R. G. H., Teuwen, J., Herrera-Trujillo, A., Trujillo, M., Escobar, W., Abello, A., Bernal, J., Gómez, J., Choi, J., Baek, S., Kim, Y., Ismael, H., Allen, B., Buatti, J. M., Kotrotsou, A., Li, H., Weiss, T., Weller, M., Bink, A., Pouymayou, B., Shaykh, H. F., Saltz, J., Prasanna, P., Shrestha, S., Mani, K. M., Payne, D., Kurc, T., Pelaez, E., Franco-Maldonado, H., Loayza, F., Quevedo, S., Guevara, P., Torche, E., Mendoza, C., Vera, F., Ríos, E., López, E., Velastin, S. A., Ogbole, G., Soneye, M., Oyekunle, D., Odafe-Oyibotha, O., Osobu, B., Shu’aibu, M., Dorcas, A., Dako, F., Simpson, A. L., Hamghalam, M., Peoples, J. J., Hu, R., Tran, A., Cutler, D., Moraes, F. Y., Boss, M. A., Gimpel, J., Veettil, D. K., Schmidt, K., Bialecki, B., Marella, S., Price, C., Cimino, L., Apgar, C., Shah, P., Menze, B., Barnholtz-Sloan, J. S., Martin, J. & Bakas, S., Dec 2023, In: Nature communications. 14, 1, 436.

  Research output: Contribution to journal › Comment/debate › peer-review

  Open Access

  • edge detection 100%
  • Big Data 99%
  • learning 79%
  • Names 69%
  • cancer 68%
  1 Scopus citations

• Axonal and myelin changes and their inter-relationship in the optic radiations in people with multiple sclerosis

  Krijnen, E. A., Ngamsombat, C., George, I. C., Yu, F. F., Fan, Q., Tian, Q., Huang, S. Y. & Klawiter, E. C., Jan 1 2023, In: Multiple Sclerosis Journal - Experimental, Translational and Clinical. 9, 1

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Optic Neuritis 100%
  • Myelin Sheath 81%
  • Multiple Sclerosis 69%
  • Radiation 59%
  • White Matter 42%

• Clinical and Simulated Experiences with the Bendit Articulating/Steerable Microcatheter in Endovascular Treatment: 2-Dimensional Operative Video

  Berenstein, A., Chapot, R., Orion, D., Barr, J. D., Cabiri, O. & Killer-Oberpfalzer, M., Jul 19 2023, In: Operative Neurosurgery. 25, 1, p. E36-E37

  Research output: Contribution to journal › Comment/debate › peer-review
  1 Scopus citations

• Clinical experience with the Bendit steerable microcatheter: A new paradigm for endovascular treatment

  Killer-Oberpfalzer, M., Chapot, R., Orion, D., Barr, J. D., Cabiri, O. & Berenstein, A., Aug 1 2023, In: Journal of NeuroInterventional Surgery. 15, 8, p. 771-775 5 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Compassionate Use Trials 100%
  • Equipment Safety 96%
  • Aneurysm 87%
  • Israel 73%
  • Clinical Studies 45%
  6 Scopus citations

• Deep-learning-enabled brain hemodynamic mapping using resting-state fMRI

  Hou, X., Guo, P., Wang, P., Liu, P., Lin, D. D. M., Fan, H., Li, Y., Wei, Z., Lin, Z., Jiang, D., Jin, J., Kelly, C., Pillai, J. J., Huang, J., Pinho, M. C., Thomas, B. P., Welch, B. G., Park, D. C., Patel, V. M., Hillis, A. E., & 1 othersLu, H., Dec 2023, In: npj Digital Medicine. 6, 1, 116.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Deep Learning 100%
  • Brain Mapping 99%
  • Hemodynamics 86%
  • Magnetic Resonance Imaging 82%
  • Deep learning 64%
  1 Scopus citations

• ELectronic Archimedes spiral Neural Network (ELANN)

  Holcomb, J. M., Maldjian, J. A., Xi, Y., O'Suilleabhain, P. E., Louis, E. D. & Shah, B. R., Oct 2023, In: Parkinsonism and Related Disorders. 115, 105837.

  Research output: Contribution to journal › Article › peer-review

  • Neurologists 100%
  • Movement Disorders 40%
  • Tremor 28%
  • Essential Tremor 24%
  • Confidence Intervals 16%
  1 Scopus citations

• Erratum: A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomas (Neuro-Oncology Advances (2020) 2:Supplement 4 DOI: 10.1093/noajnl/vdaa066)

  Yogananda, C. G. B., Shah, B. R., Yu, F. F., Pinho, M. C., Nalawade, S. S., Murugesan, G. K., Wagner, B. C., Mickey, B., Patel, T. R., Fei, B., Madhuranthakam, A. J. & Maldjian, J. A., Jan 1 2023, In: Neuro-Oncology Advances. 5, 1, vdac187.

  Research output: Contribution to journal › Comment/debate › peer-review

  Open Access

  • 4-iodo-2,5-dimethoxyphenylisopropylamine 100%
  • Deep Learning 83%
  • Glioma 56%
  • Brain 29%
  • Boidae 29%

• Erratum: MRI-based deep-learning method for determining glioma MGMT promoter methylation status (JNR Am J Neuroradiol (2021) 42 (845–852) DOI: 10.3174/ajnr.A7029)

  Yogananda, C. G., Shah, B. R. & Nalawade, S. S., Jan 1 2023, In: American Journal of Neuroradiology. 44, 1, p. E1

  Research output: Contribution to journal › Comment/debate › peer-review

  Open Access

  • Deep Learning 100%
  • Glioma 67%
  • Methylation 65%
  • Boidae 34%
  • ROC Curve 20%

• Erratum: Brain tumor IDH, 1p/19q, and MGMT molecular classification using MRI-based deep learning: an initial study on the effect of motion and motion correction (Journal of Medical Imaging DOI: 10.1117/1.JMI.9.1.016001)

  Nalawade, S. S., Yu, F. F., Yogananda, C. G. B., Murugesan, G. K., Shah, B. R., Pinho, M. C., Wagner, B. C., Xi, Y., Mickey, B., Patel, T. R., Fei, B., Madhuranthakam, A. J. & Maldjian, J. A., Jan 1 2023, In: Journal of Medical Imaging. 10, 1, 019801.

  Research output: Contribution to journal › Comment/debate › peer-review

  Open Access

  • Deep Learning 100%
  • Diagnostic Imaging 75%
  • Brain Neoplasms 67%
  • Boidae 7%
  • Datasets 4%

• Imaging Guide to Inner Ear Malformations: An Illustrative Review

  Yu, F. F., Feltrin, F. S., Bathla, G., Raj, K., Agarwal, A., Lee, W. C., Booth, T. & Singh, A., Nov 1 2023, In: Current Problems in Diagnostic Radiology. 52, 6, p. 576-585 10 p.

  Research output: Contribution to journal › Review article › peer-review

  • Inner Ear 100%
  • Mixed Conductive-Sensorineural Hearing Loss 71%
  • Tomography 62%
  • Cochlear Implantation 58%
  • Cochlear Nerve 58%

• Improving tremor response to focused ultrasound thalamotomy

  Holcomb, J. M., Chopra, R., Feltrin, F. S., Elkurd, M., El-Nazer, R., Mckenzie, L., O'suilleabhain, P., Maldjian, J. A., Dauer, W. & Shah, B. R., 2023, In: Brain Communications. 5, 4, fcad165.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Tremor 100%
  • Essential Tremor 27%
  • Sonication 26%
  • Pyramidal Tracts 25%
  • Thalamus 20%
  3 Scopus citations

• Longitudinal assessment of mitochondrial dysfunction in acute traumatic brain injury using hyperpolarized [1-¹³C]pyruvate

  Hackett, E. P., Chen, J., Ingle, L., Al Nemri, S., Barshikar, S., da Cunha Pinho, M., Plautz, E. J., Bartnik-Olson, B. L. & Park, J. M., Dec 2023, In: Magnetic resonance in medicine. 90, 6, p. 2432-2442 11 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Bicarbonates 100%
  • Pyruvic Acid 97%
  • Traumatic Brain Injury 89%
  • Brain Injuries 88%
  • Wounds and Injuries 25%
  2 Scopus citations

• Radiologist’s Role in Anti-Amyloid Therapy for Alzheimer Disease

  Yu, F. F., Sep 2023, In: Radiographics. 43, 9, e230205.

  Research output: Contribution to journal › Comment/debate › peer-review

• Realistic Productivity in Academic Neuroradiology: A National Survey of Neuroradiology Division Chiefs

  Wintermark, M., Gupta, V., Hess, C., Lee, R., Maldjian, J., Mukherjee, S., Mukherji, S., Seidenwurm, D. & Kennedy, T., Jul 1 2023, In: American Journal of Neuroradiology. 44, 7, p. 759-761 3 p.

  Research output: Contribution to journal › Editorial › peer-review
  2 Scopus citations

• Selective vulnerability of brainstem and cervical spinal cord regions in people with non-progressive multiple sclerosis of Black or African American and European ancestry

  Okuda, D. T., Stanley, T., McCreary, M., Smith, A., Wilson, A., Pinho, M. C., Yu, F. F., Billiet, T., Van Hecke, W., Ribbens, A., Zeydan, B., Kantarci, O., Guo, X. & Moog, T. M., May 2023, In: Multiple Sclerosis Journal. 29, 6, p. 691-701 11 p.

  Research output: Contribution to journal › Article › peer-review

  • Cervical Cord 100%
  • African Americans 80%
  • Brain Stem 76%
  • Multiple Sclerosis 75%
  • Pons 60%
  2 Scopus citations

• Technical Nuances and Outcomes of Telescoping Pipeline Flow Diverters: A Multicenter Study

  Baker, C. M., Hunsaker, J. C., Folzenlogen, Z. A., Pride, G. L., Case, D. E., Welch, B. G., White, J. A., Roark, C. D., White, A. C., Seinfeld, J., Muse, J., Grandhi, R. & Taussky, P., Apr 16 2023, In: Operative Neurosurgery. 24, 4, p. E255-E263

  Research output: Contribution to journal › Article › peer-review

  • Telescopes 100%
  • Multicenter Studies 60%
  • Intracranial Aneurysm 32%
  • Aneurysm 26%
  • Ruptured Aneurysm 24%
  1 Scopus citations
• 2022

  ACR White Paper on Magnetoencephalography and Magnetic Source Imaging: A Report from the ACR Commission on Neuroradiology

  Maldjian, J. A., Lee, R., Jordan, J., Davenport, E. M., Proskovec, A. L., Wintermark, M., Stufflebeam, S., Anderson, J., Mukherjee, P., Nagarajan, S. S., Ferrari, P., Gaetz, W., Schwartz, E. & Roberts, T. P. L., Dec 1 2022, In: American Journal of Neuroradiology. 43, 12, p. E46-E53

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Procedures and Techniques Utilization 100%
  • Magnetoencephalography 85%
  • Functional Neuroimaging 80%
  • Magnetic Fields 75%
  • Neurons 40%

• Adverse Radiation Therapy Effects in the Treatment of Head and Neck Tumors

  Rocha, P. H. P., Reali, R. M., Decnop, M., Souza, S. A., Teixeira, L. A. B., Lucas Júnior, A., Sarpi, M. O., Cintra, M. B., Pinho, M. C. & Garcia, M. R. T., May 1 2022, In: Radiographics. 42, 3, p. 806-821 16 p.

  Research output: Contribution to journal › Article › peer-review

  • Radiation Effects 100%
  • Neck 64%
  • Head 61%
  • Radiotherapy 58%
  • Radiation 42%
  8 Scopus citations

• A Mechanical Analysis of Early Aneurysm Rupture following Flow Diversion with Quantification of Stent Motion during Cardiac Cycles

  Kailu, T., Cook, M. K., Mejia-Alvarez, R., Mehta, N., Chason, D. & Willis, A. M., Nov 2022, In: Journal of Vascular and Interventional Radiology. 33, 11, p. 1435-1437.e3

  Research output: Contribution to journal › Letter › peer-review

• Association of distal hyperintense vessel sign and recurrent stroke in patients with symptomatic intracranial stenosis

  Salahuddin, H., Saherwala, A., Pinho, M. C., Moore, W., Castonguay, A., Khan, N. I., Jeelani, F., Uppal, H., He, H., Campbell, J. & Shang, T., Sep 2022, In: Journal of Stroke and Cerebrovascular Diseases. 31, 9, 106616.

  Research output: Contribution to journal › Article › peer-review

  • Pathologic Constriction 100%
  • Stroke 85%
  • Magnetic Resonance Spectroscopy 26%
  • Arteries 23%
  • Blood Vessels 18%
  2 Scopus citations

• Brain on fire: an imaging-based review of autoimmune encephalitis

  Ball, C., Fisicaro, R., Morris, L., White, A., Pacicco, T., Raj, K., Agarwal, A., Lee, W. C. & Yu, F. F., Apr 2022, In: Clinical Imaging. 84, p. 1-30 30 p.

  Research output: Contribution to journal › Review article › peer-review

  • Hashimoto's encephalitis 100%
  • Brain 33%
  • Immune System Diseases 24%
  • Radiologists 21%
  • Psychology Recognition 20%
  10 Scopus citations

• Brain tumor IDH, 1p/19q, and MGMT molecular classification using MRI-based deep learning: An initial study on the effect of motion and motion correction

  Nalawade, S. S., Yu, F. F., Bangalore Yogananda, C. G., Murugesan, G. K., Shah, B. R., Pinho, M. C., Wagner, B. C., Xi, Y., Mickey, B., Patel, T. R., Fei, B., Madhuranthakam, A. J. & Maldjian, J. A., Jan 1 2022, In: Journal of Medical Imaging. 9, 1, 016001.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Deep Learning 100%
  • Isocitrate Dehydrogenase 99%
  • Brain Neoplasms 67%
  • Glioma 22%
  • Artifacts 11%
  2 Scopus citations

• Chronic inflammatory demyelinating polyneuropathy: A unique case of chronic disease with atypical features

  Christie, O., Mirchia, K., Mangla, R., Hussain, A. & Hussien, A. R., Jul 2022, In: Radiology Case Reports. 17, 7, p. 2441-2447 7 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Chronic Inflammatory Demyelinating Polyradiculoneuropathy 100%
  • Cranial Nerves 82%
  • Central Nervous System 52%
  • Chronic Disease 52%
  • Paresthesia 40%

• Cumulative strain-based metrics for predicting subconcussive head impact exposure-related imaging changes in a cohort of American youth football players

  Miller, L. E., Urban, J. E., Espeland, M. A., Walkup, M. P., Holcomb, J. M., Davenport, E. M., Powers, A. K., Whitlow, C. T., Maldjian, J. A. & Stitzel, J. D., Apr 2022, In: Journal of Neurosurgery: Pediatrics. 29, 4, p. 387-396 10 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Football 100%
  • Biomechanical Phenomena 81%
  • Head 62%
  • Athletes 55%
  • Anisotropy 41%
  6 Scopus citations

• CVR-MRICloud: An online processing tool for CO2-inhalation and resting-state cerebrovascular reactivity (CVR) MRI data

  Liu, P., Baker, Z., Li, Y., Li, Y., Xu, J., Park, D. C., Welch, B. G., Pinho, M., Pillai, J. J., Hillis, A. E., Mori, S. & Lu, H., Sep 2022, In: PloS one. 17, 9 September, e0274220.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Inhalation 100%
  • Procedures and Techniques Utilization 54%
  • Cognitive Reserve 52%
  • Moyamoya Disease 48%
  • Carbon Dioxide 37%
  5 Scopus citations

• Diagnostic Utility of Hippocampal Volumetric Data in a Memory Disorder Clinic Setting

  Ruchinskas, R., Nguyen, T., Womack, K., Khera, A., Yu, F. F. & Kelley, B. J., Mar 3 2022, In: Cognitive and Behavioral Neurology. 35, 1, p. 66-75 10 p.

  Research output: Contribution to journal › Article › peer-review

  • Memory Disorders 100%
  • Memory 68%
  • Neurodegenerative Diseases 13%
  • Cognitive Dysfunction 12%
  • Alzheimer Disease 12%
  2 Scopus citations

• Direction and magnitude of displacement differ between slowly expanding and non-expanding multiple sclerosis lesions as compared to small vessel disease

  Moog, T. M., McCreary, M., Wilson, A., Stanley, T., Yu, F. F., Pinho, M., Guo, X. & Okuda, D. T., Aug 2022, In: Journal of neurology. 269, 8, p. 4459-4468 10 p.

  Research output: Contribution to journal › Article › peer-review

  • Multiple Sclerosis 100%
  • Direction compound 82%
  • Magnetic Resonance Imaging 25%
  • Brain 6%
  4 Scopus citations

• Disparity Autoencoders for Multi-class Brain Tumor Segmentation

  Bangalore Yogananda, C. G., Das, Y., Wagner, B. C., Nalawade, S. S., Reddy, D., Holcomb, J., Pinho, M. C., Fei, B., Madhuranthakam, A. J. & Maldjian, J. A., 2022, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021, Revised Selected Papers. Crimi, A. & Bakas, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 116-124 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12963 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Brain Tumor 100%
  • Multi-class 80%
  • Segmentation 75%
  • Tumor 66%
  • Tumors 64%
  6 Scopus citations

• DTI-derived parameters differ between moderate and severe traumatic brain injury and its association with psychiatric scores

  Zaninotto, A. L., Grassi, D. C., Duarte, D., Rodrigues, P. A., Cardoso, E., Feltrin, F. S., Guirado, V. M. D. P., Macruz, F. B. D. C., Otaduy, M. C. G., da Costa Leite, C., Paiva, W. S. & Andrade, C. S., Feb 2022, In: Neurological Sciences. 43, 2, p. 1343-1350 8 p.

  Research output: Contribution to journal › Article › peer-review

  • Diffuse Axonal Injury 100%
  • Diffusion Tensor Imaging 75%
  • Traumatic Brain Injury 65%
  • Psychiatry 49%
  • Corpus Callosum 46%
  1 Scopus citations

• Dynamic ¹³C MR spectroscopy as an alternative to imaging for assessing cerebral metabolism using hyperpolarized pyruvate in humans

  Ma, J., Pinho, M. C., Harrison, C. E., Chen, J., Sun, C., Hackett, E. P., Liticker, J., Ratnakar, J., Reed, G. D., Chen, A. P., Sherry, A. D., Malloy, C. R., Wright, S. M., Madden, C. J. & Park, J. M., Mar 2022, In: Magnetic resonance in medicine. 87, 3, p. 1136-1149 14 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Pyruvic Acid 100%
  • Magnetic Resonance Spectroscopy 78%
  • Lactic Acid 37%
  • Linear Models 13%
  • Brain 12%
  4 Scopus citations

• Erratum to: Rapid simultaneous acquisition of macromolecular tissue volume, susceptibility, and relaxometry maps (Magnetic Resonance in Medicine, (2022), 87, 2, (781-790), 10.1002/mrm.28995)

  Yu, F. F., Huang, S. Y., Kumar, A., Witzel, T., Liao, C., Duval, T., Cohen-Adad, J. & Bilgic, B., Jun 2022, In: Magnetic resonance in medicine. 87, 6, p. 3022-3023 2 p.

  Research output: Contribution to journal › Comment/debate › peer-review

  Open Access

  • Manuscripts 100%
  • Magnetic Resonance Spectroscopy 72%
  • Medicine 63%
  • Head 62%
  • Conflict of Interest 36%

• External Ear Diseases: A Comprehensive Review of the Pathologies With Neuroradiological Considerations

  Samara, A., Herrmann, S., Ditzler, M. G., Raj, K. M., Orlowski, H. L. P. & Eldaya, R. W., Mar 1 2022, In: Current Problems in Diagnostic Radiology. 51, 2, p. 250-261 12 p.

  Research output: Contribution to journal › Review article › peer-review

  • External Ear 100%
  • Ear Diseases 98%
  • Pathology 45%
  • Middle Ear 39%
  • Inner Ear 39%

• Federated learning enables big data for rare cancer boundary detection

  Pati, S., Baid, U., Edwards, B., Sheller, M., Wang, S. H., Reina, G. A., Foley, P., Gruzdev, A., Karkada, D., Davatzikos, C., Sako, C., Ghodasara, S., Bilello, M., Mohan, S., Vollmuth, P., Brugnara, G., Preetha, C. J., Sahm, F., Maier-Hein, K., Zenk, M., & 259 othersBendszus, M., Wick, W., Calabrese, E., Rudie, J., Villanueva-Meyer, J., Cha, S., Ingalhalikar, M., Jadhav, M., Pandey, U., Saini, J., Garrett, J., Larson, M., Jeraj, R., Currie, S., Frood, R., Fatania, K., Huang, R. Y., Chang, K., Quintero, C. B., Capellades, J., Puig, J., Trenkler, J., Pichler, J., Necker, G., Haunschmidt, A., Meckel, S., Shukla, G., Liem, S., Alexander, G. S., Lombardo, J., Palmer, J. D., Flanders, A. E., Dicker, A. P., Sair, H. I., Jones, C. K., Venkataraman, A., Jiang, M., So, T. Y., Chen, C., Heng, P. A., Dou, Q., Kozubek, M., Lux, F., Michálek, J., Matula, P., Keřkovský, M., Kopřivová, T., Dostál, M., Vybíhal, V., Vogelbaum, M. A., Mitchell, J. R., Farinhas, J., Maldjian, J. A., Yogananda, C. G. B., Pinho, M. C., Reddy, D., Holcomb, J., Wagner, B. C., Ellingson, B. M., Cloughesy, T. F., Raymond, C., Oughourlian, T., Hagiwara, A., Wang, C., To, M. S., Bhardwaj, S., Chong, C., Agzarian, M., Falcão, A. X., Martins, S. B., Teixeira, B. C. A., Sprenger, F., Menotti, D., Lucio, D. R., LaMontagne, P., Marcus, D., Wiestler, B., Kofler, F., Ezhov, I., Metz, M., Jain, R., Lee, M., Lui, Y. W., McKinley, R., Slotboom, J., Radojewski, P., Meier, R., Wiest, R., Murcia, D., Fu, E., Haas, R., Thompson, J., Ormond, D. R., Badve, C., Sloan, A. E., Vadmal, V., Waite, K., Colen, R. R., Pei, L., Ak, M., Srinivasan, A., Bapuraj, J. R., Rao, A., Wang, N., Yoshiaki, O., Moritani, T., Turk, S., Lee, J., Prabhudesai, S., Morón, F., Mandel, J., Kamnitsas, K., Glocker, B., Dixon, L. V. M., Williams, M., Zampakis, P., Panagiotopoulos, V., Tsiganos, P., Alexiou, S., Haliassos, I., Zacharaki, E. I., Moustakas, K., Kalogeropoulou, C., Kardamakis, D. M., Choi, Y. S., Lee, S. K., Chang, J. H., Ahn, S. S., Luo, B., Poisson, L., Wen, N., Tiwari, P., Verma, R., Bareja, R., Yadav, I., Chen, J., Kumar, N., Smits, M., van der Voort, S. R., Alafandi, A., Incekara, F., Wijnenga, M. M. J., Kapsas, G., Gahrmann, R., Schouten, J. W., Dubbink, H. J., Vincent, A. J. P. E., van den Bent, M. J., French, P. J., Klein, S., Yuan, Y., Sharma, S., Tseng, T. C., Adabi, S., Niclou, S. P., Keunen, O., Hau, A. C., Vallières, M., Fortin, D., Lepage, M., Landman, B., Ramadass, K., Xu, K., Chotai, S., Chambless, L. B., Mistry, A., Thompson, R. C., Gusev, Y., Bhuvaneshwar, K., Sayah, A., Bencheqroun, C., Belouali, A., Madhavan, S., Booth, T. C., Chelliah, A., Modat, M., Shuaib, H., Dragos, C., Abayazeed, A., Kolodziej, K., Hill, M., Abbassy, A., Gamal, S., Mekhaimar, M., Qayati, M., Reyes, M., Park, J. E., Yun, J., Kim, H. S., Mahajan, A., Muzi, M., Benson, S., Beets-Tan, R. G. H., Teuwen, J., Herrera-Trujillo, A., Trujillo, M., Escobar, W., Abello, A., Bernal, J., Gómez, J., Choi, J., Baek, S., Kim, Y., Ismael, H., Allen, B., Buatti, J. M., Kotrotsou, A., Li, H., Weiss, T., Weller, M., Bink, A., Pouymayou, B., Shaykh, H. F., Saltz, J., Prasanna, P., Shrestha, S., Mani, K. M., Payne, D., Kurc, T., Pelaez, E., Franco-Maldonado, H., Loayza, F., Quevedo, S., Guevara, P., Torche, E., Mendoza, C., Vera, F., Ríos, E., López, E., Velastin, S. A., Ogbole, G., Soneye, M., Oyekunle, D., Odafe-Oyibotha, O., Osobu, B., Shu’aibu, M., Dorcas, A., Dako, F., Simpson, A. L., Hamghalam, M., Peoples, J. J., Hu, R., Tran, A., Cutler, D., Moraes, F. Y., Boss, M. A., Gimpel, J., Veettil, D. K., Schmidt, K., Bialecki, B., Marella, S., Price, C., Cimino, L., Apgar, C., Shah, P., Menze, B., Barnholtz-Sloan, J. S., Martin, J. & Bakas, S., Dec 2022, In: Nature communications. 13, 1, 7346.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • edge detection 100%
  • Big Data 99%
  • machine learning 92%
  • Machine Learning 82%
  • learning 79%
  57 Scopus citations

• Federated Learning for Brain Tumor Segmentation Using MRI and Transformers

  Nalawade, S., Ganesh, C., Wagner, B., Reddy, D., Das, Y., Yu, F. F., Fei, B., Madhuranthakam, A. J. & Maldjian, J. A., 2022, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021, Revised Selected Papers. Crimi, A. & Bakas, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 444-454 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12963 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Brain Tumor 100%
  • Transformer 82%
  • Segmentation 75%
  • Tumor 66%
  • Magnetic resonance imaging 65%
  5 Scopus citations

• Focused ultrasound using a novel targeting method four-tract tractography for magnetic resonance-guided high-intensity focused ultrasound targeting

  Feltrin, F. S., Chopra, R., Pouratian, N., Elkurd, M., El-Nazer, R., Lanford, L., Dauer, W. & Shah, B. R., 2022, In: Brain Communications. 4, 6, fcac273.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Magnetic Resonance Spectroscopy 100%
  • United States Food and Drug Administration 78%
  • Essential Tremor 53%
  • Ventral Thalamic Nuclei 52%
  • Pyramidal Tracts 48%
  8 Scopus citations

• Functional activation features of memory in successful agers across the adult lifespan

  Chen, X., Rundle, M. M., Kennedy, K. M., Moore, W. & Park, D. C., Aug 15 2022, In: NeuroImage. 257, 119276.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Cognitive Aging 100%
  • Longevity 97%
  • Memory 79%
  • Brain 26%
  • Middle Aged 18%
  9 Scopus citations

• Imaging characteristics of 4th ventricle subependymoma

  Haider, A. S., El Ahmadieh, T. Y., Haider, M., Hatanpaa, K. J., Pinho, M. C., Mickey, B. E., Sawaya, R., Fuller, G. N., Schomer, D. F. & Gule-Monroe, M., Sep 2022, In: Neuroradiology. 64, 9, p. 1795-1800 6 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Subependymal Glioma 100%
  • Fourth Ventricle 77%
  • Clinical Pathology 11%
  • Research Ethics Committees 10%
  • Radiology 9%
  2 Scopus citations

• Influences of the Social Media Continuum Model in Radiology: Theory and Reality

  Abdellatif, W., Ding, J., Spieler, B. M., Khosa, F., Hussien, A. R., Kamel, S., Elsayes, K. M., El-Diasty, T. A., Brewington, C. & Patlas, M. N., Nov 2022, In: Canadian Association of Radiologists Journal. 73, 4, p. 618-625 8 p.

  Research output: Contribution to journal › Review article › peer-review

  • Social Media 100%
  • Radiology 80%
  • Radiologists 18%
  • Architectural Accessibility 12%
  • Congresses 9%
  3 Scopus citations

• Is this good enough on expert perception of brain tumor segmentation quality

  Hoebel, K., Bridge, C. P., Ahmed, S., Akintola, O., Chung, C., Huang, R., Johnson, J., Kim, A., Ina Ly, K., Chang, K., Patel, J., Pinho, M., Batchelor, T. T., Rosen, B., Gerstner, E. & Kalpathy-Cramer, J., 2022, Medical Imaging 2022: Image Perception, Observer Performance, and Technology Assessment. Mello-Thoms, C. R., Mello-Thoms, C. R. & Taylor-Phillips, S. (eds.). SPIE, 120350P. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12035).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Deep Learning 100%
  • Tumors 74%
  • tumors 69%
  • brain 68%
  • Brain Neoplasms 67%
  1 Scopus citations

• longitudinal whole-brain analysis of multi-subject diffusion data in diffuse axonal injury

  Grassi, D. C., Zaninotto, A. L., Feltrin, F. S., de Carvalho Macruz, F. B., Otaduy, M. C. G., da Costa Leite, C., de Paula Guirado, V. M., Paiva, W. S. & Andrade, C. S., 2022, In: Arquivos de Neuro-Psiquiatria. 80, 3, p. 280-288 9 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Diffuse Axonal Injury 100%
  • Anisotropy 75%
  • Traumatic Brain Injury 52%
  • White Matter 36%
  • Brain 32%

• MEG measured delta waves increase in adolescents after concussion

  Davenport, E. M., Urban, J. E., Vaughan, C., DeSimone, J. C., Wagner, B., Espeland, M. A., Powers, A. K., Whitlow, C. T., Stitzel, J. D. & Maldjian, J. A., Sep 2022, In: Brain and Behavior.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Magnetoencephalography 100%
  • Football 45%
  • Sports 17%
  • Analysis of Variance 15%
  • Students 13%

• Non-contrast hemodynamic imaging of Moyamoya disease with MR fingerprinting ASL: A feasibility study

  Su, P., Liu, P., Pinho, M. C., Thomas, B. P., Qiao, Y., Huang, J., Welch, B. G. & Lu, H., May 2022, In: Magnetic Resonance Imaging. 88, p. 116-122 7 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Moyamoya Disease 100%
  • Hemodynamics 87%
  • Feasibility Studies 76%
  • Labeling 71%
  • Imaging techniques 56%
  5 Scopus citations