Suprosanna Shit
Cited by
Cited by
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
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
Infrared imaging based hyperventilation monitoring through respiration rate estimation
A Basu, A Routray, R Mukherjee, S Shit
Infrared Physics & Technology 77, 382-390, 2016
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
Shape-Aware Complementary-Task Learning for Multi-Organ Segmentation
F Navarro*, S Shit*, I Ezhov, J Paetzold, A Gafita, J Peeken, S Combs, ...
MLMI, MICCAI 2019, 620-627, 2019
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
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
clDice -- a Topology-Preserving Loss Function for Tubular Structure Segmentation
S Shit*, JC Paetzold*, A Sekuboyina, A Zhylka, I Ezhov, A Unger, ...
arXiv preprint arXiv:2003.07311, 2020
Phasesplit: A Variable Splitting Framework for Phase Retrieval
S Mukherjee*, S Shit*, CS Seelamantula
ICASSP 2018, 2018
Palmprint authentication technique using fuzzy embedded radon transform and Collaborative Representation based Classifier
S Shit, S Datta, S Chakravorti, S Bandopadhyay, A Chatterjee
2015 International Conference on Communications and Signal Processing (ICCSP …, 2015
Real-time Bayesian personalization via a learnable brain tumor growth model
I Ezhov, T Mot, S Shit, J Lipkova, JC Paetzold, F Kofler, F Navarro, M Metz, ...
arXiv preprint arXiv:2009.04240, 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
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
A comparison of automatic multi-tissue segmentation methods of the human fetal brain using the FeTA Dataset
K Payette, P de Dumast, H Kebiri, I Ezhov, JC Paetzold, S Shit, A Iqbal, ...
arXiv preprint arXiv:2010.15526, 2020
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
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
AutoImplant, MICCAI 2020, 2020
Complex Grey Matter Structure Segmentation in Brains via Deep Learning: Example of the Claustrum
H Li, A Menegaux, S Shit, B Schmitz-Koep, C Sorg, B Menze, ...
arXiv preprint arXiv:2008.03465, 2020
Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective
AB Qasim, I Ezhov, S Shit, O Schoppe, JC Paetzold, A Sekuboyina, ...
MIDL, 2020, 2020
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