| Probabilistic noise2void: Unsupervised content-aware denoising A Krull, T Vičar, M Prakash, M Lalit, F Jug Frontiers in Computer Science 2, 5, 2020 | 219 | 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 | 59 | 2020 |
| Embedseg: Embedding-based instance segmentation for biomedical microscopy data M Lalit, P Tomancak, F Jug Medical image analysis 81, 102523, 2022 | 54 | 2022 |
| 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 | 32 | 2023 |
| 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 | 29 | 2020 |
| 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 | 20 | 2016 |
| Embedding-based instance segmentation in microscopy M Lalit, P Tomancak, F Jug Medical Imaging with Deep Learning, 399-415, 2021 | 19 | 2021 |
| 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 | 13 | 2021 |
| 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 | 10 | 2023 |
| 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 | 3 | 2020 |
| An engineering non-linear model for thermo-acoustic engines M Lalit, M Karlsson, M Åbom | 3* | |
| An investigation of turbulence models for two dimensional mean flows and implementation in OpenFOAM M Lalit Chalmers University, 2014 | 2 | 2014 |
| 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 | 1 | 2018 |
| ROSeq: A rank based approach to modelling gene expression in single cells M Lalit, A Biswas, A Ghosh, D Sengupta https://www.biorxiv.org/content/early/2018/07/22/374025, 2018 | 1 | 2018 |
| An Investigation of Unsupervised Cell Tracking and Interactive Fine-Tuning M Lalit, J Funke Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2025 | | 2025 |
| Computer Vision Approaches for Mapping Gene Expression onto Lineage Trees M Lalit Dissertation, Dresden, Technische Universität Dresden, 2022, 2022 | | 2022 |
| 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, 0 | | |
Abhik GhoshAssociate Professor, Indian Statistical Institute, Kolkata, IndiaVerified email at isical.ac.in
