Gian Marco Conte, M.D., Ph.D.

  1. Radiologist
  1. Moassefi M, Singh Y, Conte GM, Khosravi B, Rouzrokh P, Vahdati S, Safdar N, Moy L, Kitamura F, Gentili A, Lakhani P, Kottler N, Halabi SS, Yacoub JH, Hou Y, Younis K, Erickson BJ, Krupinski E, Faghani S. Correction: Checklist for Reproducibility of Deep Learning in Medical Imaging. J Imaging Inform Med. 2024 Oct 22 [Epub ahead of print]
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  2. Moassefi M, Singh Y, Conte GM, Khosravi B, Rouzrokh P, Vahdati S, Safdar N, Moy L, Kitamura F, Gentili A, Lakhani P, Kottler N, Halabi SS, Yacoub JH, Hou Y, Younis K, Erickson BJ, Krupinski E, Faghani S. Checklist for Reproducibility of Deep Learning in Medical Imaging. J Imaging Inform Med. 2024 Aug; 37 (4):1664-1673 Epub 2024 Mar 14
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  3. Cai JC, Nakai H, Kuanar S, Froemming AT, Bolan CW, Kawashima A, Takahashi H, Mynderse LA, Dora CD, Humphreys MR, Korfiatis P, Rouzrokh P, Bratt AK, Conte GM, Erickson BJ, Takahashi N. Fully Automated Deep Learning Model to Detect Clinically Significant Prostate Cancer at MRI. Radiology. 2024 Aug; 312 (2):e232635
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  4. Sobek J, Medina Inojosa JR, Medina Inojosa BJ, Rassoulinejad-Mousavi SM, Conte GM, Lopez-Jimenez F, Erickson BJ. MedYOLO: A Medical Image Object Detection Framework. J Imaging Inform Med. 2024 Jun 6 Epub 2024 June 06
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  5. Zawada SJ, Ganjizadeh A, Conte GM, Demaerschalk BM, Erickson BJ. Accelerometer-Measured Behavior Patterns in Incident Cerebrovascular Disease: Insights for Preventative Monitoring From the UK Biobank. J Am Heart Assoc. 2024 Jun 4; 13 (11):e032965 Epub 2024 May 31
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  6. Zoghby MM, Erickson BJ, Conte GM. Generative Adversarial Networks for Brain MRI Synthesis: Impact of Training Set Size on Clinical Application. J Imaging Inform Med. 2024 Jun; 37 (3):1228-1238 Epub 2024 Feb 16
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  7. Moassefi M, Faghani S, Khanipour Roshan S, Conte GM, Rassoulinejad Mousavi SM, Kaufmann TJ, Erickson BJ. Exploring the impact of 3d fast spin echo and inversion recovery gradient echo sequences magnetic resonance imaging acquisition on automated brain tumor segmentation. Mayo Clinic Proceedings: Digital Health. 2024; 2 (2):231-40
  8. Lost J, Verma T, Jekel L, von Reppert M, Tillmanns N, Merkaj S, Petersen GC, Bahar R, Gordem A, Haider MA, Subramanian H, Brim W, Ikuta I, Omuro A, Conte GM, Marquez-Nostra BV, Avesta A, Bousabarah K, Nabavizadeh A, Kazerooni AF, Aneja S, Bakas S, Lin M, Sabel M, Aboian M. Systematic Literature Review of Machine Learning Algorithms Using Pretherapy Radiologic Imaging for Glioma Molecular Subtype Prediction. AJNR Am J Neuroradiol. 2023 Oct; 44 (10):1126-1134
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  9. Moassefi M, Rouzrokh P, Conte GM, Vahdati S, Fu T, Tahmasebi A, Younis M, Farahani K, Gentili A, Kline T, Kitamura FC, Huo Y, Kuanar S, Younis K, Erickson BJ, Faghani S. Reproducibility of Deep Learning Algorithms Developed for Medical Imaging Analysis: A Systematic Review. J Digit Imaging. 2023 Oct; 36 (5):2306-2312 Epub 2023 July 05
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  10. Faghani S, Khosravi B, Moassefi M, Conte GM, Erickson BJ. A Comparison of Three Different Deep Learning-Based Models to Predict the MGMT Promoter Methylation Status in Glioblastoma Using Brain MRI. J Digit Imaging. 2023 Jun; 36 (3):837-846 Epub 2023 Jan 05
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  11. Singh Y, Jons WA, Eaton JE, Vesterhus M, Karlsen T, Bjoerk I, Abildgaard A, Jorgensen KK, Folseraas T, Little D, Gulamhusein AF, Petrovic K, Negard A, Conte GM, Sobek JD, Jagtap J, Venkatesh SK, Gores GJ, LaRusso NF, Lazaridis KN, Erickson BJ. Algebraic topology-based machine learning using MRI predicts outcomes in primary sclerosing cholangitis. Eur Radiol Exp. 2022 Nov 18; 6 (1):58
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  12. Moassefi M, Faghani S, Conte GM, Kowalchuk RO, Vahdati S, Crompton DJ, Perez-Vega C, Cabreja RAD, Vora SA, Quiñones-Hinojosa A, Parney IF, Trifiletti DM, Erickson BJ. A deep learning model for discriminating true progression from pseudoprogression in glioblastoma patients. J Neurooncol. 2022 Sep; 159(2):447-455. Epub 2022 Jul 19.
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  13. Rouzrokh P, Khosravi B, Faghani S, Moassefi M, Vera Garcia DV, Singh Y, Zhang K, Conte GM, Erickson BJ. Mitigating Bias in Radiology Machine Learning: 1. Data Handling. Radiol Artif Intell. 2022 Sep; 4(5):e210290. Epub 2022 Aug 24.
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  14. Zhang K, Hu H, Philbrick K, Conte GM, Sobek JD, Rouzrokh P, Erickson BJ. SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks. Tomography. 2022 Mar 24; 8 (2):905-919
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  15. Leone R, Sferruzza G, Calimeri T, Steffanoni S, Conte GM, De Cobelli F, Falini A, Ferreri AJM, Anzalone N. Quantitative muscle mass biomarkers are independent prognosis factors in primary central nervous system lymphoma: The role of L3-skeletal muscle index and temporal muscle thickness. Eur J Radiol. 2021 Oct; 143:109945 Epub 2021 Sept 02
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  16. Conte GM, Weston AD, Vogelsang DC, Philbrick KA, Cai JC, Barbera M, Sanvito F, Lachance DH, Jenkins RB, Tobin WO, Eckel-Passow JE, Erickson BJ. Generative Adversarial Networks to Synthesize Missing T1 and FLAIR MRI Sequences for Use in a Multisequence Brain Tumor Segmentation Model. Radiology. 2021 May; 299 (2):313-323 Epub 2021 Mar 09
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  17. Mapelli P, Callea M, Fallanca F, Castellano A, Bailo M, Scifo P, Bettinardi V, Conte GM, Monterisi C, Rancoita PMV, Incerti E, Vuozzo M, Gianolli L, Terreni M, Anzalone N, Picchio M. 18F-FAZA PET/CT in pretreatment assessment of hypoxic status in high-grade glioma: correlation with hypoxia immunohistochemical biomarkers. Nucl Med Commun. 2021 Mar 18 [Epub ahead of print]
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  18. Lombardi C, Roca E, Bigni B, Bertozzi B, Ferrandina C, Franzin A, Vivaldi O, Cottini M, D'Alessio A, Del Poggio P, Conte GM, Berti A. Immune and cellular damage biomarkers to predict COVID-19 mortality in hospitalized patients. Curr Res Immunol. 2021; 2:155-162 Epub 2021 Sept 16
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  19. Buciuc M, Vasile VC, Conte GM, Scharf EL. Ceramide Dynamics and Prognostic Value in Acute and Subacute Ischemic Stroke: Preliminary Findings in a Clinical Cohort Journal of Neurology Research. 2020; 10(6):209-219.
  20. Weston AD, Korfiatis P, Philbrick KA, Conte GM, Kostandy P, Sakinis T, Zeinoddini A, Boonrod A, Moynagh M, Takahashi N, Erickson BJ. Complete abdomen and pelvis segmentation using U-net variant architecture. Med Phys. 2020 Nov; 47 (11):5609-5618 Epub 2020 Oct 07
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  21. Cai JC, Akkus Z, Philbrick KA, Boonrod A, Hoodeshenas S, Weston AD, Rouzrokh P, Conte GM, Zeinoddini A, Vogelsang DC, Huang Q, Erickson BJ. Fully Automated Segmentation of Head CT Neuroanatomy Using Deep Learning. Radiol Artif Intell. 2020 Sep; 2 (5):e190183 Epub 2020 Sept 30
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  22. Ferreri AJM, Calimeri T, Ponzoni M, Curnis F, Conte GM, Scarano E, Rrapaj E, De Lorenzo D, Cattaneo D, Fallanca F, Nonis A, Foppoli M, Lopedote P, Citterio G, Politi LS, Sassone M, Angelillo P, Guggiari E, Steffanoni S, Tarantino V, Ciceri F, Bordignon C, Anzalone N, Corti A. Improving the antitumor activity of R-CHOP with NGR-hTNF in primary CNS lymphoma: final results of a phase 2 trial. Blood Adv. 2020 Aug 11; 4 (15):3648-3658
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  23. Sudre CH, Panovska-Griffiths J, Sanverdi E, Brandner S, Katsaros VK, Stranjalis G, Pizzini FB, Ghimenton C, Surlan-Popovic K, Avsenik J, Spampinato MV, Nigro M, Chatterjee AR, Attye A, Grand S, Krainik A, Anzalone N, Conte GM, Romeo V, Ugga L, Elefante A, Ciceri EF, Guadagno E, Kapsalaki E, Roettger D, Gonzalez J, Boutelier T, Cardoso MJ, Bisdas S. Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status. BMC Med Inform Decis Mak. 2020 Jul 6; 20 (1):149 Epub 2020 July 06
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  24. Ferreri AJM, Calimeri T, Conte GM, Cattaneo D, Fallanca F, Ponzoni M, Scarano E, Curnis F, Nonis A, Lopedote P, Citterio G, Politi LS, Foppoli M, Girlanda S, Sassone M, Perrone S, Cecchetti C, Ciceri F, Bordignon C, Corti A, Anzalone N. R-CHOP preceded by blood-brain barrier permeabilization with engineered tumor necrosis factor-alpha in primary CNS lymphoma. Blood. 2019 Jul 18; 134 (3):252-262 Epub 2019 May 22
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  25. Conte GM, Altabella L, Castellano A, Cuccarini V, Bizzi A, Grimaldi M, Costa A, Caulo M, Falini A, Anzalone N. Comparison of T1 mapping and fixed T1 method for dynamic contrast-enhanced MRI perfusion in brain gliomas. Eur Radiol. 2019 Jul; 29 (7):3467-3479 Epub 2019 Apr 10
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  26. Altabella L, Broggi S, Mangili P, Conte GM, Pieri V, Iadanza A, Del Vecchio A, Anzalone N, di Muzio N, Calandrino R, Falini A, Castellano A. Integration of Diffusion Magnetic Resonance Tractography into tomotherapy radiation treatment planning for high-grade gliomas. Phys Med. 2018 Nov; 55:127-134 Epub 2018 Oct 09
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  27. Anzalone N, Castellano A, Cadioli M, Conte GM, Cuccarini V, Bizzi A, Grimaldi M, Costa A, Grillea G, Vitali P, Aquino D, Terreni MR, Torri V, Erickson BJ, Caulo M. Brain Gliomas: Multicenter Standardized Assessment of Dynamic Contrast-enhanced and Dynamic Susceptibility Contrast MR Images. Radiology. 2018 Jun; 287 (3):933-943 Epub 2018 Jan 22
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  28. Mapelli P, Zerbetto F, Incerti E, Conte GM, Bettinardi V, Fallanca F, Anzalone N, Di Muzio N, Gianolli L, Picchio M. 18F-FAZA PET/CT Hypoxia Imaging of High-Grade Glioma Before and After Radiotherapy. Clin Nucl Med. 2017 Dec; 42 (12):e525-e526
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  29. Conte GM, Castellano A, Altabella L, Iadanza A, Cadioli M, Falini A, Anzalone N. Reproducibility of dynamic contrast-enhanced MRI and dynamic susceptibility contrast MRI in the study of brain gliomas: a comparison of data obtained using different commercial software. Radiol Med. 2017 Apr; 122 (4):294-302 Epub 2017 Jan 09
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  30. Santarosa C, Castellano A, Conte GM, Cadioli M, Iadanza A, Terreni MR, Franzin A, Bello L, Caulo M, Falini A, Anzalone N. Dynamic contrast-enhanced and dynamic susceptibility contrast perfusion MR imaging for glioma grading: Preliminary comparison of vessel compartment and permeability parameters using hotspot and histogram analysis. Eur J Radiol. 2016 Jun; 85 (6):1147-56 Epub 2016 Mar 22
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