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pro vyhledávání: '"Adiga V"'
Semi-supervised learning relaxes the need of large pixel-wise labeled datasets for image segmentation by leveraging unlabeled data. A prominent way to exploit unlabeled data is to regularize model predictions. Since the predictions of unlabeled data
Externí odkaz:
http://arxiv.org/abs/2310.16099
Autor:
Murugesan, Balamurali, Adiga V, Sukesh, Liu, Bingyuan, Lombaert, Hervé, Ayed, Ismail Ben, Dolz, Jose
Ensuring reliable confidence scores from deep networks is of pivotal importance in critical decision-making systems, notably in the medical domain. While recent literature on calibrating deep segmentation networks has led to significant progress, the
Externí odkaz:
http://arxiv.org/abs/2303.06268
Learning similarity is a key aspect in medical image analysis, particularly in recommendation systems or in uncovering the interpretation of anatomical data in images. Most existing methods learn such similarities in the embedding space over image se
Externí odkaz:
http://arxiv.org/abs/2206.09068
Semi-supervised segmentation tackles the scarcity of annotations by leveraging unlabeled data with a small amount of labeled data. A prominent way to utilize the unlabeled data is by consistency training which commonly uses a teacher-student network,
Externí odkaz:
http://arxiv.org/abs/2203.05682
Autor:
Kurter, C., Murray, C. E., Gordon, R. T., Wymore, B. B., Sandberg, M., Shelby, R. M., Eddins, A., Adiga, V. P., Finck, A. D. K., Rivera, E., Stabile, A. A., Trimm, B., Wacaser, B., Balakrishnan, K., Pyzyna, A., Sleight, J., Steffen, M., Rodbell, K.
Publikováno v:
npj Quantum Inf 8, 31 (2022)
Non-equilibrium quasiparticles are possible sources for decoherence in superconducting qubits because they can lead to energy decay or dephasing upon tunneling across Josephson junctions (JJs). Here, we investigate the impact of the intrinsic propert
Externí odkaz:
http://arxiv.org/abs/2106.11488
Publikováno v:
In Medical Image Analysis January 2024 91
Autor:
Mergenthaler, M., Müller, C., Ganzhorn, M., Paredes, S., Müller, P., Salis, G., Adiga, V. P., Brink, M., Sandberg, M., Hertzberg, J. B., Filipp, S., Fuhrer, A.
Publikováno v:
npj Quantum Information 7, 157 (2021)
One of the main limitations in state-of-the art solid-state quantum processors are qubit decoherence and relaxation due to noise in their local environment. For the field to advance towards full fault-tolerant quantum computing, a better understandin
Externí odkaz:
http://arxiv.org/abs/2103.07970
Autor:
Mergenthaler, M., Paredes, S., Müller, P., Müller, C., Filipp, S., Sandberg, M., Hertzberg, J., Adiga, V. P., Brink, M., Fuhrer, A.
Publikováno v:
Review of Scientific Instruments 92, 025121 (2021)
We describe design, implementation and performance of an ultra-high vacuum (UHV) package for superconducting qubit chips or other surface sensitive quantum devices. The UHV loading procedure allows for annealing, ultra-violet light irradiation, ion m
Externí odkaz:
http://arxiv.org/abs/2010.12090
Segmentation using deep learning has shown promising directions in medical imaging as it aids in the analysis and diagnosis of diseases. Nevertheless, a main drawback of deep models is that they require a large amount of pixel-level labels, which are
Externí odkaz:
http://arxiv.org/abs/2004.03046
Autor:
Adiga V, Sukesh, Sivaswamy, Jayanthi
Fingerprint is a common biometric used for authentication and verification of an individual. These images are degraded when fingers are wet, dirty, dry or wounded and due to the failure of the sensors, etc. The extraction of the fingerprint from a de
Externí odkaz:
http://arxiv.org/abs/1812.10191