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Machine learning analysis of whole mouse brain vasculature
MI Todorov, JC Paetzold, O Schoppe, G Tetteh, S Shit, V Efremov, ...
Nature Methods 17 (4), 442-449, 2020
280*2020
VerSe: A vertebrae labelling and segmentation benchmark for multi-detector CT images
A Sekuboyina, ME Husseini, A Bayat, M Löffler, H Liebl, H Li, G Tetteh, ...
Medical Image Analysis, 102166, 2021
257*2021
clDice-a novel topology-preserving loss function for tubular structure segmentation
S Shit*, JC Paetzold*, A Sekuboyina, I Ezhov, A Unger, A Zhylka, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
2152021
An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset
K Payette, P de Dumast, H Kebiri, I Ezhov, JC Paetzold, S Shit, A Iqbal, ...
Scientific Data 8 (1), 1-14, 2021
106*2021
Shape-aware complementary-task learning for multi-organ segmentation
F Navarro*, S Shit*, I Ezhov, J Paetzold, A Gafita, JC Peeken, SE Combs, ...
International Workshop on Machine Learning in Medical Imaging, 620-627, 2019
73*2019
Red-GAN: Attacking class imbalance via conditioned generation. Yet another perspective on medical image synthesis for skin lesion dermoscopy and brain tumor MRI.
AB Qasim, I Ezhov, S Shit, O Schoppe, JC Paetzold, A Sekuboyina, ...
Proceedings of Machine Learning Research 1, 14, 2020
65*2020
Human emotion recognition from facial thermal image based on fused statistical feature and multi-class SVM
A Basu, A Routray, S Shit, AK Deb
2015 Annual IEEE India Conference (INDICON), 1-5, 2015
56*2015
Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge
KM Timmins, IC van der Schaaf, E Bennink, YM Ruigrok, X An, ...
NeuroImage 238, 118216, 2021
542021
Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient
F Kofler, I Ezhov, F Isensee, F Balsiger, C Berger, M Koerner, J Paetzold, ...
The Journal of Machine Learning for Biomedical Imaging 2 (3), 2023
49*2023
AutoImplant 2020-first MICCAI challenge on automatic cranial implant design
J Li, P Pimentel, A Szengel, M Ehlke, H Lamecker, S Zachow, L Estacio, ...
IEEE transactions on medical imaging 40 (9), 2329-2342, 2021
472021
Relationformer: A unified framework for image-to-graph generation
S Shit*, R Koner*, B Wittmann, J Paetzold, I Ezhov, H Li, J Pan, ...
17th European Conference on Computer Vision–ECCV 2022, Tel Aviv, Israel …, 2022
412022
Infrared imaging based hyperventilation monitoring through respiration rate estimation
A Basu, A Routray, R Mukherjee, S Shit
Infrared Physics & Technology 77, 382-390, 2016
352016
Self-Supervised Pretext Tasks in Model Robustness & Generalizability: A Revisit from Medical Imaging Perspective
F Navarro, C Watanabe, S Shit, A Sekuboyina, JC Peeken, SE Combs, ...
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
33*2022
Relation transformer network
R Koner, S Shit, V Tresp
arXiv preprint arXiv:2004.06193, 2020
322020
Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience
JC Paetzold, J McGinnis, S Shit, I Ezhov, P Büschl, C Prabhakar, ...
NeurIPS Dataset 2021, 2021
28*2021
Neural parameters estimation for brain tumor growth modeling
I Ezhov, J Lipkova, S Shit, F Kofler, N Collomb, B Lemasson, E Barbier, ...
MICCAI 2019, 787-795, 2019
28*2019
Training-free, single-image super-resolution using a dynamic convolutional network
A Bhowmik*, S Shit*, CS Seelamantula
IEEE Signal Processing Letters 25 (1), 85-89, 2017
222017
Geometry-aware neural solver for fast Bayesian calibration of brain tumor models
I Ezhov, T Mot, S Shit, J Lipkova, JC Paetzold, F Kofler, C Pellegrini, ...
IEEE Transactions on Medical Imaging, 2021
21*2021
Topologically faithful image segmentation via induced matching of persistence barcodes
N Stucki*, JC Paetzold*, S Shit*, B Menze, U Bauer
International Conference on Machine Learning, 32698-32727, 2023
18*2023
InstanceFormer: An Online Video Instance Segmentation Framework
R Koner, T Hannan, S Shit, S Sharifzadeh, M Schubert, T Seidl, V Tresp
Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 1188-1195, 2023
16*2023
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