Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Suvadip Mukherjee"'
Autor:
Suvadip Mukherjee, Rituparna Sarkar, Maria Manich, Elisabeth Labruyere, Jean-Christophe Olivo-Marin
Publikováno v:
IEEE Transactions on Medical Imaging
IEEE Transactions on Medical Imaging, 2022, pp.1-1. ⟨10.1109/TMI.2022.3203022⟩
IEEE Transactions on Medical Imaging, 2022, pp.1-1. ⟨10.1109/TMI.2022.3203022⟩
International audience; The method proposed in this paper is a robust combination of multi-task learning and unsupervised domain adaptation for segmenting amoeboid cells in microscopy. A highlight of this work is the manner in which the model’s hyp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78675e33028e0f915e01648f875eb038
https://hal-pasteur.archives-ouvertes.fr/pasteur-03812027
https://hal-pasteur.archives-ouvertes.fr/pasteur-03812027
Publikováno v:
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing, 2020, 30, pp.386-401. ⟨10.1109/TIP.2020.3036759⟩
IEEE Transactions on Image Processing, 2020, 30, pp.386-401. ⟨10.1109/TIP.2020.3036759⟩
International audience; Detection and analysis of informative keypoints is a fundamental problem in image analysis and computer vision. Keypoint detectors are omnipresent in visual automation tasks, and recent years have witnessed a significant surge
Autor:
Thibault Lagache, Lydia Danglot, Catalina Gonzalez-Gomez, Jean-Christophe Olivo-Marin, Suvadip Mukherjee
Publikováno v:
IEEE Signal Processing Letters
IEEE Signal Processing Letters, 2020, 27, pp.1085-1089. ⟨10.1109/LSP.2020.3003821⟩
IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers, 2020, 27, pp.1085-1089. ⟨10.1109/LSP.2020.3003821⟩
IEEE Signal Processing Letters, 2020, 27, pp.1085-1089. ⟨10.1109/LSP.2020.3003821⟩
IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers, 2020, 27, pp.1085-1089. ⟨10.1109/LSP.2020.3003821⟩
International audience; We introduce a novel paradigm for statistical analysis of spatial signals, applied to colocalization studies in bioimag-ing. Quantitative assessment of the spatial colocalization of different molecules in microscopy provides i
Publikováno v:
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), Apr 2021, Nice, France. pp.1869-1872, ⟨10.1109/ISBI48211.2021.9433864⟩
ISBI
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), Apr 2021, Nice, France. pp.1869-1872, ⟨10.1109/ISBI48211.2021.9433864⟩
ISBI
Domain adaption is a tool to fit models trained on a source dataset to characteristically different target samples. During training, such methods typically seek to minimize the segmentation loss, in conjunction with a penalty function for domain misa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c83b78002e1c1cc8118ff25dc7f4b013
https://hal-pasteur.archives-ouvertes.fr/pasteur-03719886
https://hal-pasteur.archives-ouvertes.fr/pasteur-03719886
Publikováno v:
ISBI
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), Apr 2021, Nice, France. pp.375-379, ⟨10.1109/ISBI48211.2021.9433951⟩
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), Apr 2021, Nice, France. pp.375-379, ⟨10.1109/ISBI48211.2021.9433951⟩
International audience; Calcium fluorescence imaging enables real-time activity monitoring of single neurons in living animals. A critical inverse problem resides in the precise inference of spike locations from noisy fluorescence traces, especially
Publikováno v:
ISBI
Morphological reconstruction of dendritic spines from fluorescent microscopy is a critical open problem in neuro-image analysis. Existing segmentation tools are ill-equipped to handle thin spines with long, poorly illuminated neck membranes. We addre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::347a3ac794145520ebd39afe1485c392
Publikováno v:
IEEE Signal Processing Letters. 22:2034-2038
We propose a novel region based segmentation technique using dictionary learning. In a previous work we have developed a method which uses a set of pre-specified Legendre basis functions to perform region based segmentation of an object in presence o
Autor:
Suvadip Mukherjee, Scott T. Acton
Publikováno v:
IEEE Signal Processing Letters. 22:298-302
We propose a novel region based segmentation method capable of segmenting objects in presence of significant intensity variation. Current solutions use some form of local processing to tackle intra-region inhomogeneity, which makes such methods susce
Autor:
Snehasis Mukherjee, Suvadip Mukherjee, Dipti Prasad Mukherjee, Jayanthi Sivaswamy, Suyash Awate, Srirangaraj Setlur, Anoop M. Namboodiri, Santanu Chaudhury
This book constitutes the refereed conference proceedings of the ICVGIP 2016 Satellite Workshops, WCVA, DAR, and MedImage, held in Guwahati, India, in December 2016. The papers presented are extended versions of the papers of three of the four works
Publikováno v:
ISBI
We propose an automated framework for lung nodule segmentation from pulmonary CT scan using graph cut with a deep learned prior. The segmentation problem is formulated as a hybrid cost function minimization task, which combines a domain specific data