diff --git a/helpers/generate_histograms.py b/helpers/generate_histograms.py
index 84cff565228bdd307ef0f8bdb9359e7871e08b85..aefc170dcf09138d293889bc70355a3fec03519c 100755
--- a/helpers/generate_histograms.py
+++ b/helpers/generate_histograms.py
@@ -26,10 +26,11 @@ import PIL.Image
 import torch
 from clapper.click import ResourceOption
 from clapper.logging import setup
+from torchvision.transforms.functional import to_pil_image
+
 from mednet.data.typing import Dataset
 from mednet.scripts.click import ConfigCommand
 from mednet.scripts.database import _get_raw_databases
-from torchvision.transforms.functional import to_pil_image
 
 logger = setup(__name__.split(".")[0], format="%(levelname)s: %(message)s")
 
diff --git a/helpers/montgomery_preprocess.py b/helpers/montgomery_preprocess.py
index 399c524b40bbf1846e0177fa36b5fc339d675618..6699a75f7582b44598bdf135cc4379fda6ff0e13 100644
--- a/helpers/montgomery_preprocess.py
+++ b/helpers/montgomery_preprocess.py
@@ -12,11 +12,12 @@ import sys
 
 import numpy
 import PIL.Image
-from mednet.data.image_utils import remove_black_borders
-from mednet.models.transforms import square_center_pad
 from torch.nn.functional import interpolate
 from torchvision.transforms.functional import resize, to_pil_image, to_tensor
 
+from mednet.data.image_utils import remove_black_borders
+from mednet.models.transforms import square_center_pad
+
 
 def main():
     if len(sys.argv) != 2:
diff --git a/tests/classify/test_saliencymap_interpretability.py b/tests/classify/test_saliencymap_interpretability.py
index 90889403f9ae7ea96beb2b4835b04b6372ef6ad2..e741230bcd8bb400b1472a6c95714ce3475caf7f 100644
--- a/tests/classify/test_saliencymap_interpretability.py
+++ b/tests/classify/test_saliencymap_interpretability.py
@@ -2,13 +2,14 @@
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
 import numpy as np
+from torchvision import tv_tensors
+
 from mednet.engine.classify.saliency.interpretability import (
     _compute_avg_saliency_focus,
     _compute_binary_mask,
     _compute_proportional_energy,
     _process_sample,
 )
-from torchvision import tv_tensors
 
 
 def test_compute_avg_saliency_focus():
diff --git a/tests/conftest.py b/tests/conftest.py
index 8cd41d58029250618808035c2b91a5b38238a8bc..9260716b9dd2a524734b721c147c879cdb66d483 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -8,6 +8,7 @@ import typing
 import numpy
 import pytest
 import torch
+
 from mednet.data.split import JSONDatabaseSplit
 from mednet.data.typing import DatabaseSplit
 
diff --git a/tests/segment/test_measures.py b/tests/segment/test_measures.py
index 66578a76bd2afb08446d700f6b6bbe28e8dd305e..2f12d9279328e0692e8ce376f7a95c5fb11f00d9 100644
--- a/tests/segment/test_measures.py
+++ b/tests/segment/test_measures.py
@@ -5,6 +5,7 @@
 import random
 
 import numpy
+
 from mednet.engine.segment.evaluator import all_metrics
 
 
diff --git a/tests/test_image_utils.py b/tests/test_image_utils.py
index ab431eca66f4170278363e780bdb960799b425ce..47da87818db3161a39d3579cedf51e0bc2d7de2a 100644
--- a/tests/test_image_utils.py
+++ b/tests/test_image_utils.py
@@ -5,6 +5,7 @@
 
 import numpy
 import PIL.Image
+
 from mednet.data.image_utils import remove_black_borders
 
 
diff --git a/tests/test_transforms.py b/tests/test_transforms.py
index 8bbfc85032380dcab45a1df433c4a301009b2088..700835d82f14256302b26aa772677fa0c64a97fb 100644
--- a/tests/test_transforms.py
+++ b/tests/test_transforms.py
@@ -7,6 +7,7 @@ import numpy
 import PIL.Image
 import torch
 import torchvision.transforms.functional as F  # noqa: N812
+
 from mednet.data.augmentations import ElasticDeformation
 from mednet.models.transforms import crop_image_to_mask