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Kareem A. Wahid
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Conference and Workshop Papers
- 2023
- [c6]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali
, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano
, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella
, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent
, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller
, Alessa Hering, Arnaud Huaulmé, Pierre Jannin
, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel
, Carole H. Sudre
, Kimberlin M. H. van Wijnen, Martin Wagner
, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai
, Louise Bloch
, Raphael Brüngel
, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich
, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, Pedro Morais, Mohamed A. Naser
, Bruno Oliveira, David Owen
, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça
, Kareem A. Wahid
, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski
, F. Xia, J. Xie, Z. Xiong, S. Yang, Y. Yang, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein:
Why is the Winner the Best? CVPR 2023: 19955-19966 - 2022
- [c5]Vincent Andrearczyk, Valentin Oreiller, Moamen Abobakr, Azadeh Akhavanallaf, Panagiotis Balermpas
, Sarah Boughdad, Leo Capriotti, Joël Castelli, Catherine Cheze Le Rest, Pierre Decazes, Ricardo Correia, Dina El-Habashy, Hesham Elhalawani
, Clifton D. Fuller, Mario Jreige, Yomna Khamis, Agustina La Greca Saint-Esteven, Abdallah Sherif Radwan Mohamed
, Mohamed A. Naser
, John O. Prior
, Su Ruan, Stephanie Tanadini-Lang
, Olena Tankyevych, Yazdan Salimi, Martin Vallières, Pierre Vera, Dimitris Visvikis, Kareem A. Wahid
, Habib Zaidi, Mathieu Hatt
, Adrien Depeursinge
:
Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT. HECKTOR@MICCAI 2022: 1-30 - 2021
- [c4]Mohamed A. Naser
, Kareem A. Wahid
, Lisanne van Dijk
, Renjie He
, Moamen Abobakr Abdelaal
, Cem Dede
, Abdallah Sherif Radwan Mohamed
, Clifton D. Fuller
:
Head and Neck Cancer Primary Tumor Auto Segmentation Using Model Ensembling of Deep Learning in PET/CT Images. HECKTOR@MICCAI 2021: 121-133 - [c3]Mohamed A. Naser
, Kareem A. Wahid
, Abdallah Sherif Radwan Mohamed
, Moamen Abobakr Abdelaal
, Renjie He
, Cem Dede
, Lisanne van Dijk
, Clifton D. Fuller
:
Progression Free Survival Prediction for Head and Neck Cancer Using Deep Learning Based on Clinical and PET/CT Imaging Data. HECKTOR@MICCAI 2021: 287-299 - [c2]Kareem A. Wahid
, Renjie He
, Cem Dede
, Abdallah Sherif Radwan Mohamed
, Moamen Abobakr Abdelaal
, Lisanne van Dijk
, Clifton D. Fuller
, Mohamed A. Naser
:
Combining Tumor Segmentation Masks with PET/CT Images and Clinical Data in a Deep Learning Framework for Improved Prognostic Prediction in Head and Neck Squamous Cell Carcinoma. HECKTOR@MICCAI 2021: 300-307 - 2020
- [c1]Mohamed A. Naser
, Lisanne van Dijk
, Renjie He
, Kareem A. Wahid
, Clifton D. Fuller
:
Tumor Segmentation in Patients with Head and Neck Cancers Using Deep Learning Based-on Multi-modality PET/CT Images. HECKTOR@MICCAI 2020: 85-98
Coauthor Index
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