Sailesh Conjeti
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
3
Active years
2014–2018
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2018 | ECCV | Human Motion Analysis with Deep Metric Learning. | Huseyin Coskun, David Joseph Tan, Sailesh Conjeti, Nassir Navab, Federico Tombari |
| 2018 | MICCAI | Complex Fully Convolutional Neural Networks for MR Image Reconstruction. | Muneer Ahmad Dedmari, Sailesh Conjeti, Santiago Estrada, Phillip Ehses, Tony Stcker, Martin Reuter |
| 2018 | MICCAI | Competition vs. Concatenation in Skip Connections of Fully Convolutional Networks. | Santiago Estrada, Sailesh Conjeti, Muneer Ahmad Dedmari, Nassir Navab, Martin Reuter |
| 2018 | MICCAI | Hashing-Based Atlas Ranking and Selection for Multiple-Atlas Segmentation. | Amin Katouzian, Hongzhi Wang, Sailesh Conjeti, Hui Tang, Ehsan Dehghan, Alexandros Karargyris, Anup Pillai, Kenneth L. Clarkson, Nassir Navab |
| 2018 | MICCAI | Learning Optimal Deep Projection of | Shubham Kumar, Abhijit Guha Roy, Ping Wu, Sailesh Conjeti, R. S. Anand, Jian Wang, Igor Yakushev, Stefan Frster, Markus Schwaiger, Sung-Cheng Huang, Axel Rominger, Chuantao Zuo, Kuangyu Shi |
| 2018 | MICCAI | Webly Supervised Learning for Skin Lesion Classification. | Fernando Navarro, Sailesh Conjeti, Federico Tombari, Nassir Navab |
| 2018 | MICCAI | Generalizability vs. Robustness: Investigating Medical Imaging Networks Using Adversarial Examples. | Magdalini Paschali, Sailesh Conjeti, Fernando Navarro, Nassir Navab |
| 2018 | MICCAI | Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling. | Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger |
| 2017 | MICCAI | Deep Multiple Instance Hashing for Scalable Medical Image Retrieval. | Sailesh Conjeti, Magdalini Paschali, Amin Katouzian, Nassir Navab |
| 2017 | MICCAI | Hashing with Residual Networks for Image Retrieval. | Sailesh Conjeti, Abhijit Guha Roy, Amin Katouzian, Nassir Navab |
| 2017 | MICCAI | Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data. | Abhijit Guha Roy, Sailesh Conjeti, Debdoot Sheet, Amin Katouzian, Nassir Navab, Christian Wachinger |
| 2015 | BMVC | Multi-scale Graph-based Guided Filter for De-noising Cryo-Electron Tomographic Data. | Shadi Albarqouni, Maximilian Baust, Sailesh Conjeti, Asharf Al-Amoudi, Nassir Navab |
| 2015 | MICCAI | Hashing Forests for Morphological Search and Retrieval in Neuroscientific Image Databases. | Sepideh Mesbah, Sailesh Conjeti, Ajayrama Kumaraswamy, Philipp L. Rautenberg, Nassir Navab, Amin Katouzian |
| 2014 | MICCAI | Full-Wave Intravascular Ultrasound Simulation from Histology. | Silvan Kraft, Sailesh Conjeti, Peter B. Nol, Stphane G. Carlier, Nassir Navab, Amin Katouzian |
| 2014 | MICCAI | Shading Correction for Whole Slide Image Using Low Rank and Sparse Decomposition. | Tingying Peng, Lichao Wang, Christine Bayer, Sailesh Conjeti, Maximilian Baust, Nassir Navab |