116 citations · 329 across the 40 of their papers we have counts for
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Patch-based Medical Image Segmentation using Matrix Product State Tensor Networks
Raghavendra Selvan, Erik B Dam, Søren Alexander Flensborg +1
Tensor networks are efficient factorisations of high-dimensional tensors into a network of lower-order tensors. They have been most commonly used to model entanglement in quantum m…
Identifying partial mouse brain microscopy images from Allen reference atlas using a contrastively learned semantic space
Justinas Antanavicius, Roberto Leiras, Raghavendra Selvan
Precise identification of mouse brain microscopy images is a crucial first step when anatomical structures in the mouse brain are to be registered to a reference atlas. Practitione…
Segmenting two-dimensional structures with strided tensor networks
Raghavendra Selvan, Erik B Dam, Jens Petersen
Tensor networks provide an efficient approximation of operations involving high dimensional tensors and have been extensively used in modelling quantum many-body systems. More rece…
Dynamic -VAEs for quantifying biodiversity by clustering optically recorded insect signals
Klas Rydhmer, Raghavendra Selvan
While insects are the largest and most diverse group of terrestrial animals, constituting ca. 80% of all known species, they are difficult to study due to their small size and simi…
Detection of foraging behavior from accelerometer data using U-Net type convolutional networks
Manh Cuong Ngô, Raghavendra Selvan, Outi Tervo +2
Narwhal is one of the most mysterious marine mammals, due to its isolated habitat in the Arctic region. Tagging is a technology that has the potential to explore the activities of…