Rami Al-Maskari

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation 2016 Fausto Milletarì
Nassir Navab
Seyed‐Ahmad Ahmadi
2
+ PDF Chat nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation 2020 Fabian Isensee
Paul F. Jaeger
Simon Kohl
Jens Petersen
Klaus H. Maier‐Hein
2
+ Attention U-Net: Learning Where to Look for the Pancreas 2018 Ozan Oktay
Jo Schlemper
Loïc Le Folgoc
Matthew C. H. Lee
Mattias P. Heinrich‬
Kazunari Misawa
Kensaku Mori
Steven McDonagh
Nils Hammerla
Bernhard Kainz
1
+ syGlass: Interactive Exploration of Multidimensional Images Using Virtual Reality Head-mounted Displays 2018 Stanislav Pidhorskyi
Michael Morehead
Quinn Jones
George A. Spirou
Gianfranco Doretto
1
+ PDF Chat Focal Loss for Dense Object Detection 2018 Tsung-Yi Lin
Priya Goyal
Ross Girshick
Kaiming He
Piotr Dollár
1
+ PDF Chat AnatomyNet: Deep learning for fast and fully automated whole‐volume segmentation of head and neck anatomy 2018 Wentao Zhu
Yufang Huang
Liang Zeng
Xuming Chen
Yong Liu
Zhen Qian
Nan Du
Wei Fan
Xiaohui Xie
1
+ nnU-Net: Breaking the Spell on Successful Medical Image Segmentation. 2019 Fabian Isensee
Jens Petersen
Simon Kohl
Paul F. Jäger
Klaus H. Maier‐Hein
1
+ PDF Chat Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep Networks 2017 Seyed Sadegh Mohseni Salehi
Deniz Erdoğmuş
Ali Gholipour
1
+ PDF Chat Automated brain extraction of multisequence MRI using artificial neural networks 2019 Fabian Isensee
Marianne Schell
Irada Pflueger
Gianluca Brugnara
David Bonekamp
Ulf Neuberger
Antje Wick
Heinz‐Peter Schlemmer
Sabine Heiland
Wolfgang Wick
1
+ Mish: A Self Regularized Non-Monotonic Neural Activation Function 2019 Diganta Misra
1
+ PDF Chat Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index 2020 Tom Eelbode
Jeroen Bertels
Maxim Berman
Dirk Vandermeulen
Frederik Maes
Raf Bisschops
Matthew B. Blaschko
1
+ PDF Chat Automated Intracranial Artery Labeling Using a Graph Neural Network and Hierarchical Refinement 2020 Li Chen
Thomas S. Hatsukami
Jenq‐Neng Hwang
Chun Yuan
1
+ pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis 2020 Alain Jungo
Olivier Scheidegger
Mauricio Reyes
Fabian Balsiger
1
+ PDF Chat Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation 2020 Boris Shirokikh
Alexey Shevtsov
Anvar Kurmukov
Alexandra Dalechina
Egor Krivov
Valery Kostjuchenko
Andrey Golanov
Mikhail Belyaev
1
+ PDF Chat Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation Using Holistic Convolutional Networks 2018 Lucas Fidon
Wenqi Li
Luis C. García-Peraza-Herrera
Jinendra Ekanayake
Neil Kitchen
Sébastien Ourselin
Tom Vercauteren
1
+ Common Limitations of Image Processing Metrics: A Picture Story 2021 Annika Reinke
Matthias Eisenmann
Minu D. Tizabi
Carole H. Sudre
Tim Rädsch
Michela Antonelli
Tal Arbel
Spyridon Bakas
M. Jorge Cardoso
Veronika Cheplygina
1
+ PDF Chat clDice - a Novel Topology-Preserving Loss Function for Tubular Structure Segmentation 2021 Suprosanna Shit
Johannes C. Paetzold
Anjany Sekuboyina
Ivan Ezhov
Alexander Unger
Andrey Zhylka
Josien P. W. Pluim
Ulrich Bauer
Bjoern Menze
1
+ PDF Chat UNETR: Transformers for 3D Medical Image Segmentation 2022 Ali Hatamizadeh
Yucheng Tang
Vishwesh Nath
Dong Yang
Andriy Myronenko
Bennett A. Landman
Holger R. Roth
Daguang Xu
1
+ PDF Chat Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images 2022 Ali Hatamizadeh
Vishwesh Nath
Yucheng Tang
Dong Yang
Holger R. Roth
Daguang Xu
1
+ Ranger21: a synergistic deep learning optimizer 2021 Less Wright
Nestor Demeure
1
+ TotalSegmentator: robust segmentation of 104 anatomical structures in CT images 2022 Jakob Wasserthal
Hanns‐Christian Breit
Manfred T. Meyer
Maurice Pradella
Daniel Hinck
Alexander Sauter
Tobias Heye
Daniel T. Boll
Joshy Cyriac
Shan Yang
1
+ 3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation 2022 Ho Hin Lee
Shunxing Bao
Yuankai Huo
Bennett A. Landman
1
+ ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness 2018 Robert Geirhos
Patricia Rubisch
Claudio Michaelis
Matthias Bethge
Felix A. Wichmann
Wieland Brendel
1
+ Topologically faithful image segmentation via induced matching of persistence barcodes 2022 Nico Stucki
Johannes C. Paetzold
Suprosanna Shit
Bjoern Menze
Ulrich Bauer
1
+ Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient 2021 Florian Kofler
Ivan Ezhov
Fabian Isensee
Fabian Balsiger
Christoph Berger
Maximilian Koerner
Beatrice Demiray
Julia Rackerseder
Johannes C. Paetzold
Hongwei Li
1
+ SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining 2023 Benjamin Billot
Douglas N. Greve
Oula Puonti
Axel Thielscher
Koen Van Leemput
Bruce Fischl
Adrian V. Dalca
Juan Eugenio Iglesias
1
+ NexToU: Efficient Topology-Aware U-Net for Medical Image Segmentation 2023 Pengcheng Shi
Xutao Guo
Yanwu Yang
Chenfei Ye
Ting Ma
1
+ TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images 2023 Jakob Wasserthal
Hanns‐Christian Breit
Manfred T. Meyer
Maurice Pradella
Daniel Hinck
Alexander Sauter
Tobias Heye
Daniel T. Boll
Joshy Cyriac
Shan Yang
1
+ PDF Chat Approaching Peak Ground Truth 2023 Florian Kofler
Johannes Wahle
Ivan Ezhov
Sophia J. Wagner
Rami Al-Maskari
Emilia Gryska
Mihail Ivilinov Todorov
Christina Bukas
Felix Meissen
Tingying Peng
1
+ A2V: A Semi-Supervised Domain Adaptation Framework for Brain Vessel Segmentation via Two-Phase Training Angiography-to-Venography Translation 2023 Francesco Galati
Daniele Falcetta
Rosa Cortese
Barbara Casolla
Ferrán Prados
Ninon Burgos
María A. Zuluaga
1
+ PDF Chat Practical Recommendations for Gradient-Based Training of Deep Architectures 2012 Yoshua Bengio
1
+ PDF Chat A skeletonization algorithm for gradient-based optimization 2023 Martin J. Menten
Johannes C. Paetzold
Veronika A. Zimmer
Suprosanna Shit
Ivan Ezhov
Robbie Holland
Monika Probst
Julia A. Schnabel
Daniel Rueckert
1
+ PDF Chat Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations 2017 Carole H. Sudre
Wenqi Li
Tom Vercauteren
Sébastien Ourselin
M. Jorge Cardoso
1