Manan Lalit
Manan Lalit
Janelia Reseach Campus
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Probabilistic noise2void: Unsupervised content-aware denoising
A Krull, T Vičar, M Prakash, M Lalit, F Jug
Frontiers in Computer Science 2, 5, 2020
Fully unsupervised probabilistic noise2void
M Prakash, M Lalit, P Tomancak, A Krul, F Jug
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 154-158, 2020
Leveraging self-supervised denoising for image segmentation
M Prakash, TO Buchholz, M Lalit, P Tomancak, F Jug, A Krull
2020 IEEE 17th international symposium on biomedical imaging (ISBI), 428-432, 2020
Embedseg: Embedding-based instance segmentation for biomedical microscopy data
M Lalit, P Tomancak, F Jug
Medical image analysis 81, 102523, 2022
Embedding-based instance segmentation in microscopy
M Lalit, P Tomancak, F Jug
Medical Imaging with Deep Learning, 399-415, 2021
A note on the applicability of thermo-acoustic engines for automotive waste heat recovery
M Karlsson, M Åbom, M Lalit, R Glav
SAE International Journal of materials and manufacturing 9 (2), 286-293, 2016
Nanog organizes transcription bodies
K Kuznetsova, NM Chabot, M Ugolini, E Wu, M Lalit, H Oda, Y Sato, ...
Current Biology 33 (1), 164-173. e5, 2023
Probabilistic Noise2Void: Unsupervised Content-Aware Denoising. Front. Comput. Sci. 0, 5
A Krull, T Vicar, M Prakash, M Lalit, F Jug
Modeling expression ranks for noise-tolerant differential expression analysis of scRNA-seq data
K Gupta, M Lalit, A Biswas, CD Sanada, C Greene, K Hukari, U Maulik, ...
Genome research 31 (4), 689-697, 2021
An engineering non-linear model for thermo-acoustic engines
M Lalit, M Karlsson, M Åbom
An investigation of turbulence models for two dimensional mean flows and implementation in OpenFOAM
M Lalit
Chalmers University, 2014
Registration of Multi-modal Volumetric Images by Establishing Cell Correspondence
M Lalit, M Handberg-Thorsager, YW Hsieh, F Jug, P Tomancak
European Conference on Computer Vision, 458-473, 2020
ROSeq: Modeling expression ranks for noise-tolerant differential expression analysis of scRNA-Seq data
K Gupta, M Lalit, A Biswas, U Maulik, S Bandyopadhyay, G Ahuja, ...
bioRxiv, 374025, 2018
ROSeq: A rank based approach to modelling gene expression in single cells
M Lalit, A Biswas, A Ghosh, D Sengupta, 2018
Unsupervised Learning of Object-Centric Embeddings for Cell Instance Segmentation in Microscopy Images
S Wolf, M Lalit, K McDole, J Funke
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
Computer Vision Approaches for Mapping Gene Expression onto Lineage Trees
M Lalit
Registration of multi-modal volumetric images of embryos by establishing correspondences between cells
M Lalit, F Jug, P Tomancak
ECCV 2020 Workshop on BioImage Computing, 2020
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