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Saad Ullah Akram
Saad Ullah Akram
MVision AI (co-founder), Aalto University
Verified email at mvision.ai - Homepage
Title
Cited by
Cited by
Year
Mask-RCNN and U-net ensembled for nuclei segmentation
AO Vuola, SU Akram, J Kannala
2019 IEEE 16th international symposium on biomedical imaging (ISBI 2019 …, 2019
2142019
Cell segmentation proposal network for microscopy image analysis
SU Akram, J Kannala, L Eklund, J Heikkilä
Deep Learning and Data Labeling for Medical Applications: First …, 2016
1142016
A novel human leiomyoma tissue derived matrix for cell culture studies
T Salo, M Sutinen, E Hoque Apu, E Sundquist, NK Cervigne, ...
BMC cancer 15 (1), 1-16, 2015
1092015
Generalizable pedestrian detection: The elephant in the room
I Hasan, S Liao, J Li, SU Akram, L Shao
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1082021
HNF1B controls epithelial organization and cell polarity during ureteric bud branching and collecting duct morphogenesis
A Desgrange, C Heliot, I Skovorodkin, SU Akram, J Heikkilä, ...
Development 144 (24), 4704-4719, 2017
562017
A deep learning-based automated CT segmentation of prostate cancer anatomy for radiation therapy planning-a retrospective multicenter study
T Kiljunen, S Akram, J Niemelä, E Löyttyniemi, J Seppälä, J Heikkilä, ...
Diagnostics 10 (11), 959, 2020
482020
Joint cell segmentation and tracking using cell proposals
SU Akram, J Kannala, L Eklund, J Heikkilä
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 920-924, 2016
322016
Leveraging unlabeled whole-slide-images for mitosis detection
SU Akram, T Qaiser, S Graham, J Kannala, J Heikkilä, N Rajpoot
Computational Pathology and Ophthalmic Medical Image Analysis: First …, 2018
312018
Cell tracking via proposal generation and selection
SU Akram, J Kannala, L Eklund, J Heikkilä
arXiv preprint arXiv:1705.03386, 2017
312017
Pedestrian detection: The elephant in the room
I Hasan, S Liao, J Li, SU Akram, L Shao
arXiv preprint arXiv:2003.08799 6 (7), 2020
272020
Desmoglein 3–Influence on oral carcinoma cell migration and invasion
EH Apu, SU Akram, J Rissanen, H Wan, T Salo
Experimental Cell Research 370 (2), 353-364, 2018
272018
Pedestrian detection: Domain generalization, cnns, transformers and beyond
I Hasan, S Liao, J Li, SU Akram, L Shao
arXiv preprint arXiv:2201.03176, 2022
252022
Cell proposal network for microscopy image analysis
SU Akram, J Kannala, L Eklund, J Heikkilä
2016 IEEE International Conference on Image Processing (ICIP), 3199-3203, 2016
242016
Novel fixed z-direction (FiZD) kidney primordia and an organoid culture system for time-lapse confocal imaging
U Saarela, SU Akram, A Desgrange, A Rak-Raszewska, J Shan, ...
Development 144 (6), 1113-1117, 2017
222017
Bridging the gap between paired and unpaired medical image translation
P Paavilainen, SU Akram, J Kannala
MICCAI Workshop on Deep Generative Models, 35-44, 2021
102021
Visual recognition of isolated swedish sign language signs
S Akram, J Beskow, H Kjellstrom
arXiv preprint arXiv:1211.3901, 2012
92012
Visual Recognition of Isolated Swedish Sign Language Signs
S Akram
School of Computer Science and Communication, KTH - Royal Institute of …, 2012
92012
Segmentation of cells from spinning disk confocal images using a multi-stage approach
SU Akram, J Kannala, M Kaakinen, L Eklund, J Heikkilä
Computer Vision--ACCV 2014: 12th Asian Conference on Computer Vision …, 2015
72015
Autosegmentation based on different-sized training datasets of consistently-curated volumes and impact on rectal contours in prostate cancer radiation therapy
CE Olsson, R Suresh, J Niemelä, SU Akram, A Valdman
Physics and Imaging in Radiation Oncology 22, 67-72, 2022
62022
The effect of hydrodynamic conditions on the selective flotation of fully liberated low grade copper-nickel ore
H Kumar, K Luolavirta, SU Akram, H Mehmood, S Luukkanen
Minerals 11 (3), 328, 2021
22021
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Articles 1–20