Marco Da Cunha Pinho

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71 Article
4 Conference contribution
4 Comment/debate
2 Chapter
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- 2 Letter
- 2 Review article

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
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
1 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
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
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

Marco Da Cunha Pinho

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Collaborations and top research areas from the last five years

Dive into details

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

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

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

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)

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)

Marco Da Cunha Pinho

Fingerprint

Collaborations and top research areas from the last five years

Research output

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

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

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

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)

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)