Sökresultat - "Forkert, Nils D."

Deep Learning for Retinal Degeneration Assessment: A Comprehensive Analysis of the MARIO AMD Progression Challenge

Zeghlache, Rachid, Brahim, Ikram, Conze, Pierre-Henri, Lamard, Mathieu, Lazouni, Mohammed El Amine, Elaouaber, Zineb Aziza, Lazouni, Leila Ryma, Nielsen, Christopher, Ahsan, Ahmad O., Wilms, Matthias, Forkert, Nils D., Budimir, Lovre Antonio, Matovinović, Ivana, Vršnak, Donik, Lončarić, Sven, Zhang, Philippe, Jiang, Weili, Li, Yihao, Hao, Yiding, Frohmann, Markus, Binder, Patrick, Huber, Marcel, Emre, Taha, Araújo, Teresa Finisterra, Oghbaie, Marzieh, Bogunović, Hrvoje, Bekkers, Amerens A., van Liebergen, Nina M., Kuijf, Hugo J., Qayyum, Abdul, Mazher, Moona, Niederer, Steven A., Beltrán-Carrero, Alberto J., Gómez-Valverde, Juan J., Torresano-Rodríquez, Javier, Caballero-Sastre, Álvaro, Carbayo, María J. Ledesma, Yamagishi, Yosuke, Ding, Yi, Peretzke, Robin, Ertl, Alexandra, Fischer, Maximilian, Kächele, Jessica, Zehar, Sofiane, Hacene, Karim Boukli, Monfort, Thomas, Cochener, Béatrice, Daho, Mostafa El Habib, Benyoussef, Anas-Alexis, Quellec, Gwenolé

Using machine learning to investigate the influence of the prenatal chemical exposome on neurodevelopment of young children

England-Mason, Gillian, MacEachern, Sarah J., Amador, Kimberly, Soomro, Munawar Hussain, Reardon, Anthony J.F., MacDonald, Amy M., Kinniburgh, David W., Letourneau, Nicole, Giesbrecht, Gerald F., Martin, Jonathan W., 1975, Forkert, Nils D., Dewey, Deborah

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Quantifying the relationship between cell proliferation and morphology during development of the face.

Lo Vercio, Lucas D, Green, Rebecca M, Dauter, Andreas, Barretto, Elizabeth C, Vidal-García, Marta, Devine, Jay, Marchini, Marta, Robertson, Samuel, Zhao, Xiang, Mahika, Anandita, Shakir, M Bilal, Guo, Sienna, Boughner, Julia C, Szabo-Rogers, Heather, Dean, Wendy, Lander, Arthur D, Marcucio, Ralph S, Forkert, Nils D, Hallgrímsson, Benedikt

Unveiling the Temporal Patterns of a 4D CTP Stroke Lesion Outcome Prediction Model Through Attention Analysis

Amador, Kimberly, Winder, Anthony, Pinel, Noah, Fiehler, Jens, Wilms, Matthias, Forkert, Nils D.

2024 IEEE International Symposium on Biomedical Imaging (ISBI)

A Novel Multimodal Deep Learning Fusion Framework for Predicting Neovascular Activity Evolution in Exudative Age-Related Macular Degeneration

Nielsen, Christopher^{Aff10, Aff11}, Ahsan, Ahmad O.^{Aff10, Aff11}, Wilms, Matthias^{Aff10, Aff12, Aff13, Aff14, Aff15}, Forkert, Nils D.^{Aff10, Aff12, Aff13, Aff16}

Goos, Gerhard, Series Editor^Aff1, Hartmanis, Juris, Founding Editor^Aff2, Bertino, Elisa, Editorial Board Member^Aff3, Gao, Wen, Editorial Board Member^Aff4, Steffen, Bernhard, Editorial Board Member^Aff5, Yung, Moti, Editorial Board Member^Aff6, Quellec, Gwenolé, editor^Aff7, El Habib Daho, Mostafa, editor^Aff8, Zeghlache, Rachid, editor^Aff9

Spatio-Temporal Deep Learning for Final Infarct Prediction Using Acute Stroke CT Perfusion Data

Amador, Kimberly^{Aff18, Aff19, Aff20}, Winder, Anthony J.^Aff19, Forkert, Nils D.^{Aff19, Aff20, Aff21}

Goos, Gerhard, Series Editor^Aff1, Hartmanis, Juris, Founding Editor^Aff2, Bertino, Elisa, Editorial Board Member^Aff3, Gao, Wen, Editorial Board Member^Aff4, Steffen, Bernhard, Editorial Board Member^Aff5, Yung, Moti, Editorial Board Member^Aff6, Su, Ruisheng, editor^Aff7, de la Rosa, Ezequiel, editor^Aff8, Rist, Leonhard, editor^Aff9, Heylen, Ewout, editor^Aff10, te Nijenhuis, Frank, editor^Aff11, Ruijters, Danny, editor^Aff12, Schirmer, Markus D., editor^Aff13, McKinley, Richard, editor^Aff14, Wegener, Susanne, editor^Aff15, Wiest, Roland, editor^Aff16, van Walsum, Theo, editor^Aff17

A Lightweight 3D Conditional Diffusion Model for Self-explainable Brain Age Prediction in Adults and Children

Wilms, Matthias^{Aff16, Aff17, Aff18, Aff19}, Ahsan, Ahmad O.^{Aff16, Aff17, Aff18, Aff19}, Ohara, Erik Y.^{Aff17, Aff18, Aff19}, Dagasso, Gabrielle^{Aff17, Aff18, Aff19}, Macavoy, Elizabeth^{Aff17, Aff18, Aff19}, Stanley, Emma A. M.^{Aff17, Aff18, Aff19}, Vigneshwaran, Vibujithan^{Aff17, Aff18, Aff19}, Forkert, Nils D.^{Aff17, Aff18, Aff19}

Goos, Gerhard, Series Editor^Aff1, Hartmanis, Juris, Founding Editor^Aff2, Bertino, Elisa, Editorial Board Member^Aff3, Gao, Wen, Editorial Board Member^Aff4, Steffen, Bernhard, Editorial Board Member^Aff5, Yung, Moti, Editorial Board Member^Aff6, Bathula, Deepti R., editor^Aff7, Benet Nirmala, Anoop, editor^Aff8, Dvornek, Nicha C., editor^Aff9, Govindarajan, Sindhuja T., editor^Aff10, Habes, Mohamad, editor^Aff11, Kumar, Vinod, editor^Aff12, Nebli, Ahmed, editor^Aff13, Wolfers, Thomas, editor^Aff14, Xiao, Yiming, editor^Aff15

Assessing the Impact of Sociotechnical Harms in AI-Based Medical Image Analysis

Stanley, Emma A. M.^{Aff19, Aff20, Aff21, Aff22}, Souza, Raissa^{Aff19, Aff20, Aff21, Aff22}, Winder, Anthony J.^Aff20, Wilms, Matthias^{Aff20, Aff21, Aff22, Aff23}, Pike, G. Bruce^{Aff20, Aff21}, Dagasso, Gabrielle^{Aff19, Aff20, Aff21, Aff22}, Nielsen, Christopher^{Aff19, Aff20, Aff21, Aff22}, MacEachern, Sarah J.^{Aff21, Aff22, Aff23}, Forkert, Nils D.^{Aff20, Aff21, Aff22}

Goos, Gerhard, Series Editor^Aff1, Hartmanis, Juris, Founding Editor^Aff2, Bertino, Elisa, Editorial Board Member^Aff3, Gao, Wen, Editorial Board Member^Aff4, Steffen, Bernhard, Editorial Board Member^Aff5, Yung, Moti, Editorial Board Member^Aff6, Puyol-Antón, Esther, editor^Aff7, Zamzmi, Ghada, editor^Aff8, Feragen, Aasa, editor^Aff9, King, Andrew P., editor^Aff10, Cheplygina, Veronika, editor^Aff11, Ganz-Benjaminsen, Melanie, editor^Aff12, Ferrante, Enzo, editor^Aff13, Glocker, Ben, editor^Aff14, Petersen, Eike, editor^Aff15, Baxter, John S. H., editor^Aff16, Rekik, Islem, editor^Aff17, Eagleson, Roy, editor^Aff18

Do Sites Benefit Equally from Distributed Learning in Medical Image Analysis?

Souza, Raissa^{Aff19, Aff20, Aff21, Aff22}, Stanley, Emma A. M.^{Aff19, Aff20, Aff21, Aff22}, Camicioli, Richard^Aff23, Monchi, Oury^{Aff19, Aff20, Aff24, Aff25, Aff26}, Ismail, Zahinoor^{Aff20, Aff26, Aff27, Aff28}, Wilms, Matthias^{Aff20, Aff22, Aff29, Aff30}, Forkert, Nils D.^{Aff19, Aff20, Aff22, Aff26}

Goos, Gerhard, Series Editor^Aff1, Hartmanis, Juris, Founding Editor^Aff2, Bertino, Elisa, Editorial Board Member^Aff3, Gao, Wen, Editorial Board Member^Aff4, Steffen, Bernhard, Editorial Board Member^Aff5, Yung, Moti, Editorial Board Member^Aff6, Puyol-Antón, Esther, editor^Aff7, Zamzmi, Ghada, editor^Aff8, Feragen, Aasa, editor^Aff9, King, Andrew P., editor^Aff10, Cheplygina, Veronika, editor^Aff11, Ganz-Benjaminsen, Melanie, editor^Aff12, Ferrante, Enzo, editor^Aff13, Glocker, Ben, editor^Aff14, Petersen, Eike, editor^Aff15, Baxter, John S. H., editor^Aff16, Rekik, Islem, editor^Aff17, Eagleson, Roy, editor^Aff18

A morphometrics approach for inclusion of localised characteristics from medical imaging studies into genome-wide association studies

Dagasso, Gabrielle, Wilms, Matthias, Forkert, Nils D.

2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Enhanced Reader Confidence and Differentiation of Calcification from Cerebral Microbleed Diagnosis Using QSM Relative to SWI

Kang, Chris, Mehta, Pritesh, Chang, Yi S., Bhadelia, Rafeeque A., Rojas, Rafael, Wintermark, Max, Andre, Jalal B., Yang, Ethan, Selim, Magdy, Thomas, Ajith J., Filippidis, Aristotelis, Wen, Yan, Spincemaille, Pascal, Forkert, Nils D., Wang, Yi, Soman, Salil^{Aff2, IDs00062024014780_cor1}

Children with Congenital Heart Diseases Exhibit Altered Deep Gray Matter Structures

Forkert, Nils D.^{Aff1, Aff2, Aff3, Aff4, IDs0006202401417z_cor1}, MacEachern, Sarah J.^{Aff3, Aff4, Aff5}, Duh, Allison K., Moon, Peter, Lee, Sarah, Yeom, Kristen W.

Towards objective and systematic evaluation of bias in artificial intelligence for medical imaging

Stanley, Emma A. M., Souza, Raissa, Winder, Anthony, Gulve, Vedant, Amador, Kimberly, Wilms, Matthias, Forkert, Nils D.

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An international study presenting a federated learning AI platform for pediatric brain tumors

Lee, Edward H.^{Aff1, Aff2, IDs41467024511725_cor1}, Han, Michelle^{Aff1, Aff3}, Wright, Jason, Kuwabara, Michael, Mevorach, Jacob, Fu, Gang, Choudhury, Olivia, Ratan, Ujjwal, Zhang, Michael, Wagner, Matthias W., Goetti, Robert, Toescu, Sebastian, Perreault, Sebastien, Dogan, Hakan, Altinmakas, Emre, Mohammadzadeh, Maryam, Szymanski, Kathryn A.^{Aff5, Aff14}, Campen, Cynthia J., Lai, Hollie, Eghbal, Azam, Radmanesh, Alireza^{Aff17, Aff33}, Mankad, Kshitij, Aquilina, Kristian, Said, Mourad, Vossough, Arastoo, Oztekin, Ozgur^{Aff19, Aff34}, Ertl-Wagner, Birgit, Poussaint, Tina, Thompson, Eric M., Ho, Chang Y., Jaju, Alok, Curran, John, Ramaswamy, Vijay, Cheshier, Samuel H., Grant, Gerald A., Wong, S. Simon, Moseley, Michael E., Lober, Robert M., Wilms, Mattias^{Aff28, Aff29, Aff30}, Forkert, Nils D.^{Aff30, Aff31}, Vitanza, Nicholas A., Miller, Jeffrey H., Prolo, Laura M.^{Aff1, IDs41467024511725_cor43}, Yeom, Kristen W.^{Aff1, Aff5, IDs41467024511725_cor44}

Exploiting macro- and micro-structural brain changes for improved Parkinson’s disease classification from MRI data

Camacho, Milton^{Aff1, Aff2, IDs41531024006479_cor1}, Wilms, Matthias^{Aff2, Aff3, Aff4, Aff5}, Almgren, Hannes^{Aff5, Aff6}, Amador, Kimberly^{Aff1, Aff2}, Camicioli, Richard, Ismail, Zahinoor^{Aff5, Aff6, Aff8, Aff9}, Monchi, Oury^{Aff5, Aff6, Aff10, Aff11}, Forkert, Nils D.^{Aff2, Aff3, Aff4, Aff5, Aff6}

Structural network measures reveal the emergence of heavy-tailed degree distributions in lottery ticket multilayer perceptrons

Kang, Chris ^{a, b, ⁎}, Moore, Jasmine A. ^{a, b, c, g}, Robertson, Samuel ^d, Wilms, Matthias ^{a, g, h, j}, Towlson, Emma K. ^{a, e, f, g, 1}, Forkert, Nils D. ^{a, b, g, i, j, 1}

Challenges and Potential of Artificial Intelligence in Neuroradiology

Winder, Anthony J.^{Aff1, Aff2, IDs00062024013827_cor1}, Stanley, Emma AM^{Aff1, Aff2, Aff3, Aff4}, Fiehler, Jens, Forkert, Nils D.^{Aff1, Aff2, Aff4, Aff6, Aff7}

Weakly Supervised Medical Image Segmentation With Soft Labels and Noise Robust Loss

Felfeliyan, Banafshe, Hareendranathan, Abhilash, Kuntze, Gregor, Wichuk, Stephanie, Forkert, Nils D., Jaremko, Jacob L., Ronsky, Janet L.

Self-Supervised-RCNN for Medical Image Segmentation with Limited Data Annotation

Felfeliyan, Banafshe, Hareendranathan, Abhilash, Kuntze, Gregor, Cornell, David, Forkert, Nils D., Jaremko, Jacob L., Ronsky, Janet L.