Suprosanna Shit
Cited by
Cited by
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
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
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
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
Infrared imaging based hyperventilation monitoring through respiration rate estimation
A Basu, A Routray, R Mukherjee, S Shit
Infrared Physics & Technology 77, 382-390, 2016
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 Computer Vision and …, 2021
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
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
Relation transformer network
R Koner, S Shit, V Tresp
arXiv preprint arXiv:2004.06193, 2020
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
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
A low cost data acquisition system from digital display instruments employing image processing technique
S Ghosh, S Shit
2014 International Conference on Advances in Computing, Communications and …, 2014
A distance-based loss for smooth and continuous skin layer segmentation in optoacoustic images
S Gerl, JC Paetzold, H He, I Ezhov, S Shit, F Kofler, A Bayat, G Tetteh, ...
MICCAI 2020, 309-319, 2020
Geometry-aware neural solver for fast Bayesian calibration of brain tumor models
I Ezhov, T Mot, S Shit, J Lipkova, JC Paetzold, F Kofler, F Navarro
arXiv preprint arXiv:2009.04240, 2020
A baseline for predicting glioblastoma patient survival time with classical statistical models and primitive features ignoring image information
F Kofler, JC Paetzold, I Ezhov, S Shit, D Krahulec, JS Kirschke, C Zimmer, ...
Brainlesion Workshop, MICCAI 2019, 254-261, 2019
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, ...
arXiv preprint arXiv:2103.06205, 2021
Cranial Implant Prediction Using Low-Resolution 3D Shape Completion and High-Resolution 2D Refinement
A Bayat, S Shit, A Kilian, JT Liechtenstein, JS Kirschke, BH Menze
Cranial Implant Design Challenge, MICCAI 2020, 77-84, 2020
clDice-a Novel Connectivity-Preserving Loss Function for Vessel Segmentation
JC Paetzold*, S Shit*, I Ezhov, G Tetteh, A Ertürk, B Menze
Medical Imaging Meets NeurIPS 2019, 2019
Implicit Neural Solver for Time-dependent Linear PDEs with Convergence Guarantee
S Shit, A Ravi, I Ezhov, J Lipkova, M Piraud, B Menze
NeurIPS 2019 Workshop on Machine Learning with Guarantees, 2019
Velocity-To-Pressure (V2P)-Net: Inferring Relative Pressures from Time-Varying 3D Fluid Flow Velocities
S Shit, D Das, I Ezhov, JC Paetzold, AF Sanches, N Thuerey, BH Menze
International Conference on Information Processing in Medical Imaging, 545-558, 2021
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