24 citations · 57 across the 4 of their papers we have counts for
5 papers
Bridging the gap between paired and unpaired medical image translation
Pauliina Paavilainen, Saad Ullah Akram, Juho Kannala
Medical image translation has the potential to reduce the imaging workload, by removing the need to capture some sequences, and to reduce the annotation burden for developing machi…
Generalizable Pedestrian Detection: The Elephant In The Room
Irtiza Hasan, Shengcai Liao, Jinpeng Li +2
Pedestrian detection is used in many vision based applications ranging from video surveillance to autonomous driving. Despite achieving high performance, it is still largely unknow…
Mask-RCNN and U-net Ensembled for Nuclei Segmentation
Aarno Oskar Vuola, Saad Ullah Akram, Juho Kannala
Nuclei segmentation is both an important and in some ways ideal task for modern computer vision methods, e.g. convolutional neural networks. While recent developments in theory and…
Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection
Saad Ullah Akram, Talha Qaiser, Simon Graham +3
Mitosis count is an important biomarker for prognosis of various cancers. At present, pathologists typically perform manual counting on a few selected regions of interest in breast…
Cell Tracking via Proposal Generation and Selection
Saad Ullah Akram, Juho Kannala, Lauri Eklund +1
Microscopy imaging plays a vital role in understanding many biological processes in development and disease. The recent advances in automation of microscopes and development of met…